ORNL — Intensified Carbon Capture Using Buildings Infrastructure (ICCBI)

Intensified Carbon Capture Using Buildings Infrastructure (ICCBI) — ORNL

What “TRL 6” means:
  • Prototype/demo in a relevant environment. Ideal for campus or federal-building pilots via existing HVAC/chilled-water loops.
Next: pressure-drop & fan power impacts, heat-integration for regeneration, sorbent life/cycle testing, MRV for credits.
Path: facility-scale pilots → performance data packs → standardized retrofit kits.
Oak Ridge National Laboratory • Technology Transfer

Spinout U Summary

What: ICCBI turns large buildings into distributed CO₂ scrubbers by reusing existing air-handling and thermal infrastructure (ducts, coils, heat sources/sinks).

Analogy: the building’s “lungs” get a smart filter that captures CO₂ and then “exhales” it for reuse or storage.

Unique: leverages installed HVAC, minimizing footprint and balance-of-plant; heat integration can cut regeneration energy.

Why it matters: campus/facility portfolios can generate measurable, verifiable tons—creating a new decarbonization lever + credit pathway.

Classroom Activation — Teach Mode

Run real-building decarbonization sprints: fan power tradeoffs, heat-integration, MRV & credits.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: Mechanical/HVAC • ChemE (sorbents/solvents) • Controls/Automation
Complementary: Facilities ops • Utility/DER • Carbon accounting/MRV • Finance

.EDU-only onboarding for now (global welcome).

Your Persona Match

Invite Inventors / PI as Founders & Advisors

Activate inventors with role + time + equity suggestions aligned to contribution. Add students/members and preview the draft cap table.

SpinBot Prompts — tailored to ICCBI

Retrofit playbooks, fan-power tradeoffs, heat-integration, MRV & crediting, procurement in complex facilities.

Bundling & Semantic Intelligence Matching

Complementary: sorbents/solvents, heat pumps/CHP, building-automation, MRV sensors, carbon credits, off-take/utilization.

ORNL — DETA-based Biphasic Absorbent for Post-Combustion CO₂

DETA-Based Biphasic Absorbent for Post-Combustion CO₂ — ORNL

What “TRL 5” means:
  • Validated in relevant rigs; ready for slipstream pilots at gas/coal plants, industrial boilers, or WtE stacks.
Next: solvent loss/corrosion/foaming, phase-splitter design, rich/lean heat-integration, L/G contactor selection.
Path: paid demos with utilities/industrial heat users → spec sheet & TEA.
Oak Ridge National Laboratory • Technology Transfer

Spinout U Summary

What: a diethylenetriamine (DETA)–based biphasic solvent that separates into two liquid layers when it takes up CO₂, letting you regenerate only the CO₂-rich phase.

Analogy: like a salad dressing that splits—so you only “heat the oily layer,” saving energy.

Unique: phase splitting reduces reboiler duty; tunable chemistry for faster kinetics and lower degradation.

Why it matters: lower energy/ton + simpler columns = better economics in retrofit capture.

Classroom Activation — Teach Mode

Teach separations with a live venture lens: kinetics, phase splitter design, heat-integration, and TEA.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: ChemE/Separations • Process Design • Materials/Chemistry
Complementary: Utilities • EPC • MRV/Credits • EH&S

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Draft roles, time, and equity suggestions; add members and preview a mini cap table.

SpinBot Prompts — tailored to DETA biphasic

Kinetics screens, phase-split hardware, heat-integration, solvent management, TEA, and pilot procurement.

Bundling & Semantic Intelligence Matching

Complementary: structured packings/contactors, corrosion mitigation, heat recovery, MRV/credits, CO₂ compression/offtake.

INL — Condensable-Solvent Washing for Contaminated Cardboard

Condensable-Solvent Washing for Contaminated Cardboard — INL

What “TRL 4” means:
  • Lab validation; needs pilot-scale demos on real MRF/paper-mill lines with closed-loop solvent recovery.
Next: solvent class selection (safety/flammability), oil removal efficacy across feedstocks, drying/energy use, residual checks, LCA.
Path: mill/MRF pilots → standards acceptance → offtake specs for recycled fiber grades.
Idaho National Laboratory • Technology Deployment

Spinout U Summary

What: a condensable-solvent wash that removes oils/food residues from cardboard (e.g., pizza boxes) and other fiber streams to unlock higher-value recycling.

Analogy: like a gentle dry-clean cycle where the solvent condenses, lifts grease, then is recovered and reused.

Unique: class-based separation with low residuals potential; closed loop reduces emissions and solvent loss.

Why it matters: upgrades contaminated fiber from “trash” to saleable pulp, improving MRF economics and diversion rates.

Classroom Activation — Teach Mode

Design a closed-loop solvent wash pilot and prove grade acceptance and LCA improvements.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: ChemE • Process • Environmental • Materials
Complementary: Paper mills • Safety • LCA • Standards

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Auto-suggest roles/time/equity and preview as a draft.

SpinBot Prompts — tailored to CSW

Solvent class screens, closed-loop recovery, dryer integration, QA/grade acceptance, LCA & standards adoption.

Bundling & Semantic Intelligence Matching

Complementary: solvent recovery skids, safety systems, paper-mill partners, MRF retrofits, QA/analytics, standards bodies.

UC Riverside Campus

Self-Regenerative Ni-Doped CaTiO₃/CaO for CO₂ Capture & Utilization

What “TRL 5” means (simple):
  • TRL 5 = tested in a relevant setup (not full real-world), works under realistic conditions.
Funding: Pilot grants & corporate-funded trials; not yet “ready-to-buy.”
Partnerships: Host sites for slipstream pilots (HVAC, AD exhaust, airports).
Commercialization: License-to-Build scaffolding tied to pilot milestones & data.
UC Riverside • Office of Technology Partnerships

Spinout U Summary

1) What it is: a calcium “smart sponge” for CO₂ with Ni dopants that help it recharge.

  • Soaks up CO₂ from air/exhaust.
  • Regenerates with lower energy; longer cycle life.

Why it matters: cheaper, longer-lasting capture makes circular CO₂ practical.

Classroom Activation — Teach Mode

Ready-to-use teaching package for sorbents: reactions → regeneration → MRV & credits.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize this?

Ideal: ChemE • Materials • Environmental Engineering
Complementary: MBA/Finance • Policy • Energy Systems

.edu email required to proceed (global universities welcome).

Invite Inventors / PI as Founders & Advisors

Attribute inventors and activate them with role + equity packages aligned to time and contribution.

SpinBot Prompts — understand, visualize, commercialize

Open the full prompt library tailored to this IP (Understanding, Visualization, Commercialization, Tech/Ops, Finance/Policy, Teaching).

Spinout Co-Pilot — your on-card strategist & CXO

Draft term sheets, pilot plans, MRV schemas, partner emails, and investor mini-decks.

Bundling & Semantic Intelligence Matching

Why this matters: standalone IP is a puzzle piece; semantic bundling assembles pieces into systems-level inventions—capture → utilization → MRV/credits.

UC Riverside Campus

Methods to Prevent & Treat Diffuse Large and Other B-Cell Lymphomas

What “TRL 3” means (simple):
  • TRL 3 = experimental proof of concept (preclinical); needs validation in disease-relevant models.
Next: mechanism validation, dose-response, safety window, and biomarker correlation.
Path: IND-enabling studies → Phase I/II trial design.
Clinical disclaimer: For informational/venture planning only. Not medical advice.
UC Riverside • Office of Technology Partnerships

Spinout U Summary

What: a low-tox way to turn down certain signals that help B-cell lymphomas grow, plus an early-warning screen.

Analogy: like lowering a loud “grow” radio station and adding a warning light.

Unique: focuses on a specific signaling path; designed to pair with screening and SoC.

Why it matters: aims for fewer side effects and earlier action.

Classroom Activation — Teach Mode

Teach translational pathways: mechanism → biomarkers → clinical trial design → payer evidence.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — .EDU onboarding

Ideal: Immunology • Hematology/Oncology • Translational Medicine
Complementary: Biostatistics/Trial Design • Regulatory/IRB • Health Economics

.edu email required to proceed (global universities welcome).

Invite Inventors / PI as Founders & Advisors

Attribute inventors and create a draft mini cap table with role/time/equity suggestions.

SpinBot Prompts — clinical grade

Mechanism, biomarkers, IND path, Phase I/II design, payer evidence, and partnership scouting.

Spinout Co-Pilot — your translational guide

Generate preclinical workplans, IRB/IND checklists, clinic partner emails, and HEOR outlines.

Bundling & Semantic Intelligence Matching

Complementary: biomarkers, companion diagnostics, EHR risk screens, low-toxicity adjuvants, SoC combos.

UC Riverside Campus

Hyper Bending Actuator — Flexible, Modular, High-Stiffness

What “TRL 5” means (simple):
  • TRL 5 = validated in relevant rigs/labs; ready for pilot integrations with users.
Next: endurance testing, load capacity curves, easy-mount kits for field users.
Path: OEM evals → paid pilots → dev kits & first SKUs.
UC Riverside • Office of Technology Partnerships

Spinout U Summary

What: a robot joint/muscle that bends a lot but can also “lock” to be strong.

Analogy: like a bendy straw that can act like a sturdy stick when needed.

Unique: combines big bending + stiffness + easy mounting.

Why it matters: safer, softer robots that still carry load.

Classroom Activation — Teach Mode

Hands-on MechE/Robotics sprints: geometry → control → safety → productization.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — .EDU onboarding

Ideal: MechE/Robotics • Soft Robotics • Mechatronics
Complementary: Controls/Embedded • Industrial Design • Manufacturing

.edu email required to proceed (global universities welcome).

Invite Inventors / PI as Founders & Advisors

Attribute inventors and create a draft mini cap table with role/time/equity suggestions.

SpinBot Prompts — productization

Spec curves, control schemes, dev kit plan, OEM targets, and certification pathway.

Spinout Co-Pilot — your productization guide

Draft BOM, cost targets, pilot MOUs with OEMs, test plans (endurance/load), and go-to-market steps.

Bundling & Semantic Intelligence Matching

Complementary: tactile sensors, proprioception, low-power drivers, safety covers, and control firmware; bundle for medical/industrial certifications.

University of Florida campus sign

Continuous-Flow Anaerobic Digester for Organics → Biogas (UF Innovate)

What “TRL 6” means:
  • Prototype/demo in a relevant environment; ready for campus/municipal/industrial host pilots.
Next: feedstock variability tolerance, grit/scum handling, CHP/RNG integration, permitting.
Path: host pilots → metered performance packs → standardized skid.
UF Innovate • Tech Licensing

Spinout U Summary

What: a continuous-flow anaerobic digester that turns food scraps, fats, and manures into usable biogas with automated solids management and heat-integration hooks.

Creative analogy: like a cow’s four-stomach assembly line in a stainless box — steady feed in, energy-rich gas out, no stop-start burps.

Why unique:

  • Continuous (not batch) for smoother gas output and smaller tanks.
  • Self-handling of scum/grit reduces downtime and operator labor.
  • Modular skid that couples easily to CHP or pipeline-grade RNG.
  • Designed for messy, mixed campus/municipal organics.
Engineers
Sizing by SRT/HRT, mixing, heating loads, gas cleanup specs.
Ops/Facilities
Fewer hauls, odor control, safer handling, uptime dashboards.
Business/Policy/Legal
Tip-fee savings, LCFS/RINs/credits, offtake contracts, permitting path.
Researchers
Co-digestion recipes, inhibitors, microbiome stability studies.

Classroom Activation — Teach Mode

Run an organics → energy sprint: feedstock survey, SRT/HRT sizing, gas cleanup & crediting.

Includes: lecture spark • 1-week • 4-week • 10-week

SpinOut Fit — who should build/commercialize

Ideal: Env/ChemE • Bio • Process • Ops
Complementary: RNG/CHP • Utilities • MRV/Credits

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Auto-suggest roles/time/equity and save a draft cap table.

SpinBot Prompts — UF Digester

Feedstock mix planner, SRT/HRT sizing, gas cleanup & offtake, permitting checklist.

Bundling & Semantic Intelligence Matching

Complementary: de-packagers, gas cleaning, CHP, RNG injection, credits/MRV, solids handling.

San Diego State University campus sign

LEAF Biofilters for Methane Capture & CO₂ Removal (SDSU)

What “TRL 5” means:
  • Validated in relevant rigs; ready for slipstream pilots on waste-gas sources (WWTP, barns, landfills).
Next: loading rate/pressure-drop curves, moisture/temperature windows, MRV for methane destruction/CO₂ capture.
Path: paid demos → certified abatement credits & productization.
San Diego State University • Tech Transfer

Spinout U Summary

What: modular LEAF biofilters that oxidize fugitive methane and capture CO₂ using optimized media & microbial consortia with low energy draw.

Creative analogy: like a living hedge for exhaust — air passes through “leaves” that sip methane/CO₂ and turn them into safer, measurable outputs.

Why unique:

  • Passive/low-power units; no high-pressure sorbent beds.
  • Field-tunable media & microbes for different sources (barns, digesters, vents).
  • Built-in MRV plan for crediting/attestation.
Engineers
Loading rates, residence time, ΔP curves, media swap intervals.
Ops/Facilities
Install anywhere air moves; low maintenance; odor & safety benefits.
Business/Policy/Legal
Methane abatement credits, verification workflows, contracts with emitters.
Researchers
Microbiome tuning, longevity, mineralization fractions, field data.

Classroom Activation — Teach Mode

Design a biofilter pilot with measurable methane destruction & CO₂ capture.

Includes: lecture spark • 1-week • 4-week • 10-week

SpinOut Fit — .EDU onboarding

Ideal: Env • Microbio • Process • Controls
Complementary: MRV • Credits • Partners

.edu email required to proceed (global universities welcome).

Invite Inventors / PI as Founders & Advisors

Auto-suggest roles/time/equity and save a draft cap table.

SpinBot Prompts — LEAF Biofilters

Loading rate calculator, ΔP vs media life, MRV & crediting, moisture/temperature envelopes.

Bundling & Semantic Intelligence Matching

Complementary: low-power fans, sensor suites, MRV, crediting partners, enclosure OEMs.

Oklahoma State — PowerLine Unmanned Surfer (PLUS)

PowerLine Unmanned Surfer (PLUS) — Oklahoma State

Chevron Studio
What “TRL 5” means:
  • Validated in relevant environments; ready for restricted-field pilots with utilities and grid operators.
Next: endurance on energized lines (mock sites), EMI/EMC testing, fail-safe docking, autonomous routing, and inspection payload integration.
Path: utility pilots → SOPs & safety case → service bundle (inspection + powerline riding platform).
Oklahoma State University • Technology Transfer

Spinout U Summary

What: PLUS is a long-endurance UAV that uses the powerline corridor as a “highway,” enabling ride-along inspection and opportunistic energy management to extend missions.

Analogy: like a surfer that “catches” the grid—following lines and using waypoints to ride for miles with minimal battery anxiety.

Unique: powerline-aware guidance + docking/loiter behaviors; designed for grid inspection, vegetation monitoring, and fault localization.

Why it matters: reduces helicopter truck-rolls, improves safety, and enables higher inspection cadence for wildfire and outage prevention.

Classroom Activation — Teach Mode

Run autonomy & safety sprints: perception near conductors, EMI/EMC risk analysis, BVLOS ops planning, and utility pilot SOPs.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: Robotics/Controls • Perception/AI • Aero/Mech • Power Systems
Complementary: Utility ops • Compliance/BVLOS • Safety/Reliability • PM/BD

.EDU-only onboarding for now (utilities via pilots).

Invite Inventors / PI as Founders & Advisors

Align roles/time/equity; add student builders; preview a mini cap table.

SpinBot Prompts — tailored to PLUS

Perception near conductors; EMI/EMC test plan; BVLOS regulatory path; docking fixtures; utility pilot SOW; risk register for wildfire corridors.

Bundling & Semantic Intelligence Matching

Complementary: EO/IR payloads, corona discharge cameras, GNSS-RTK, comms repeaters, utility CMMS/SCADA integration, battery hot-swap docks.

UMN — Heat to Electricity Using Phase Transformations in Ferroelectric Oxides

Heat→Electricity via Ferroelectric Phase Transforms — University of Minnesota

Chevron Studio
What “TRL 4” means:
  • Lab validation with prototype devices; needs packaging & cycling data in small ΔT regimes (5–30°C).
Next: thin-film stack optimization, switch timing/control, fatigue over 10⁷ cycles, micro-W to mW scaling and arrays.
Path: embedded energy harvesters → sensor/IoT co-packaging → specialty waste-heat niches.
University of Minnesota • Technology Commercialization

Spinout U Summary

What: a capacitive device using a ferroelectric oxide layer + switch network to convert small temperature differences directly into electrical energy.

Analogy: a “thermal ratchet” that squeezes energy out of gentle temperature swings.

Unique: works in low-grade heat regimes where thermoelectrics underperform; CMOS-friendly stacks possible.

Why it matters: self-powered sensors, wearables, and industrial monitors without battery swaps.

Classroom Activation — Teach Mode

Lab sprints on ferroelectric phase behavior, switching control, cycling fatigue, and micro-harvester TEA.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: Materials/EE • MEMS • Mixed-signal IC • Packaging
Complementary: IoT platforms • Wearables • Industrial sensing • Reliability

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Right-size time windows + equity; add packaging and ASIC mentors.

SpinBot Prompts — tailored to Ferroelectric Harvesters

Switch timing control; fatigue test plans; thin-film deposition stackups; micro-power PMIC; target apps & BOM; pilot sites in industrial ΔT niches.

Bundling & Semantic Intelligence Matching

Complementary: PMIC/rectifiers, energy storage (µ-supercaps), MEMS packaging, thermal interface materials, wireless sensor modules.

Boise State — Methods for Manufacturing Electrochemical Sensors

Printed Electrochemical Sensors — Boise State

Chevron Studio
What “TRL 6” means:
  • Prototype arrays validated in relevant field conditions; ready for pilot deployments with OEMs.
Next: ink formulations (Pt/Ag/Cu/C composites), adhesion & aging in wet/dirty environments, calibration drift models, cartridge packaging.
Path: OEM sensor kits → consumables model → integrations in water, ag, clinical, and industrial QA.
Boise State University • Technology Transfer

Spinout U Summary

What: printed-ink process for low-cost electrochemical sensors—forming electrodes directly on substrates for scalable arrays.

Analogy: “screen-print your lab electrode” into a disposable cartridge.

Unique: ink chemistries + print parameters tuned for selectivity/response; compatible with roll-to-roll.

Why it matters: cheaper dense sensing for water quality, food safety, and point-of-care diagnostics.

Classroom Activation — Teach Mode

Hands-on prints: ink rheology, electrode geometry, calibration curves, cross-sensitivity mitigation, and consumables TEA.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: Electrochem • Materials • Manufacturing • Firmware/DAQ
Complementary: Water/Ag ops • QA/QC • Regulatory • Channel partners

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Map roles + weekly bands; add OEM advisors; set milestone-based equity.

SpinBot Prompts — tailored to Printed Sensors

Ink recipes & process windows; electrode geometry sweeps; fouling tests; DAQ/firmware; calibration pipeline; BOM & COGS; certifications.

Bundling & Semantic Intelligence Matching

Complementary: sample-prep, membranes, reference electrodes, low-power DAQ, telemetry, cloud dashboards, consumable cartridges.

Princeton — Multi-material concrete 3D printing with thermoplastic/elastomeric polymers

Multi-Material Concrete 3D Printing — Princeton

Chevron Studio
What “TRL 5” means:
  • Validated 3DP toolpaths & multi-head kinematics; needs fieldable demos and QC of interfaces.
Next: interlayer bonding tests, elastomer/concrete interface design, curing profiles, build envelopes, on-site safety & codes.
Path: prefab components → on-site prints → code-compliant assemblies with integrated functions.
Princeton University • Office of Technology Licensing

Spinout U Summary

What: additive manufacturing system with multiple toolheads (concrete, thermoplastic, elastomer) to embed ducts, seals, and compliant features into structural prints.

Analogy: “print concrete with built-in gaskets and conduits.”

Unique: multi-material deposition + kinematic coordination; reduces post-processing and assembly steps.

Why it matters: faster installs, fewer trades on site, and improved performance (airtightness, vibration damping).

Classroom Activation — Teach Mode

Design sprints for multi-material paths, adhesion & curing, QC/inspection, and build-to-code pilots.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: MechE/Robotics • Materials • Construction Mgmt • Controls
Complementary: Codes/permits • QA/QC • OEM toolheads • GC partners

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Roles/time/equity + GC/OEM advisors; align pilot sites with permitting.

SpinBot Prompts — tailored to Multi-Material 3DP

Interface adhesion tests; path planning; toolhead calibration; curing & shrinkage; inspection checklists; prefab vs on-site TEA; safety plans.

Bundling & Semantic Intelligence Matching

Complementary: toolheads, admixtures, robot arms/gantries, QA scanners, on-site curing systems, code compliance partners.

Texas A&M — Power Electronic Intelligence at the Network Edge (PINE)

PINE — Power Electronic Intelligence at the Network Edge — Texas A&M

Chevron Studio
What “TRL 6” means:
  • Prototype grid-edge converter validated; ready for campus microgrid pilots and industrial sites.
Next: UL/IEEE compliance matrix, harmonic performance, fault ride-through, cybersecurity, mass-manufacturable BOM.
Path: pilot SKUs for DER/EV/flex-loads → OEM partnerships → grid services revenue.
Texas A&M University • Technology Commercialization

Spinout U Summary

What: end-user level PWM converter + controls that turn loads and DERs into intelligent, grid-interactive assets.

Analogy: “edge brain” for power—speaks utility on one side and appliances/DERs on the other.

Unique: fast control loops + power quality features; enables microgrid and demand-flex apps without major rewiring.

Why it matters: unlocks grid services, reduces bills, and improves resilience for facilities.

Classroom Activation — Teach Mode

Sprints on converter control, power quality, microgrid interop, cybersecurity, and pilot commercialization.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: Power Electronics • Controls • Firmware • Systems
Complementary: Facilities/DER integrators • Compliance • Cybersecurity • BD/Finance

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Time-banded roles + equity; attach compliance milestones; add OEM advisors.

SpinBot Prompts — tailored to PINE

Control loops; power quality specs; UL/IEEE roadmap; DER/EV interop; cybersecurity threat model; BOM & COGS; pilot SOW.

Bundling & Semantic Intelligence Matching

Complementary: DERs (PV/ESS/CHP), EVSE, BMS, facility EMS/BAS, cybersecurity modules, metering/MRV.

USC — Calcium carbonate-based biodegradable composites as an alternative to industrial plastics

CaCO₃-Based Biodegradable Composites — USC

◆ Chevron Studio 📦 Plastics/Packaging
What “TRL 5” means:
  • Pilot formulations validated; ready for converting-line trials (film, thermoform, injection).
Next: compounding windows, impact/tear & barrier tuning, additives for biodegradation rates, LCA + compliance (FDA/EFSA as applicable).
Path: co-dev with converters/brand owners → certified specs → SKU pilots.
University of Southern California • Tech Transfer

Spinout U Summary

What: calcium-carbonate–filled biodegradable composites engineered to replace commodity plastics with drop-in processing.

Analogy: “mineral-reinforced bioplastic” that runs on standard lines.

Unique: high filler loadings with preserved toughness/processability; tunable end-of-life.

Why it matters: lower resin cost, reduced petro content, improved sustainability claims for packaging & disposables.

Classroom Activation — Teach Mode

Compounding & processing sprints: rheology, dispersion, barrier/strength tradeoffs, biodegradation tests, and LCA.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: Polymers/Materials • Packaging Eng • Manufacturing
Complementary: Brand/retail channels • Regulatory • LCA/claims

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Map roles/time/equity; add converter mentors; milestone-based license terms.

SpinBot Prompts — tailored to CaCO₃ Composites

Compounding DoE; dispersion & coupling agents; film/extrusion windows; ASTM compostability; LCA; go-to-market with converters.

Bundling & Semantic Intelligence Matching

Complementary: compatibilizers, barrier coatings, ink/print adhesion, compostability certification, retailer pilots.

Colorado State — Aggregation inhibitors for asphaltenes in crude pipelines

Asphaltene Aggregation Inhibitors — Colorado State

🛢️ Pipelines/O&G
What “TRL 5” means:
  • Validated in relevant crude assays & flow-loop rigs; ready for field pilot coupons and slipstream trials.
Next: inhibitor libraries & QSAR models, compatibility with demulsifiers/corrosion inhibitors, deposition kinetics, field dosing strategies.
Path: pilot with midstream operators → treat rates & economics → OEM/chem partner SKUs.
Colorado State University • Technology Transfer

Spinout U Summary

What: methods to discover and deploy specific aggregation inhibitors for asphaltenes to prevent pipeline clogging and deposition.

Analogy: anti-clumping “detergents” for heavy crude components.

Unique: targeted inhibitor identification vs generic solvency; adaptable to different crudes.

Why it matters: protects high-mileage networks and reduces pigging/shutdown costs.

Classroom Activation — Teach Mode

Lab & modeling sprints: colloids/solubility, flow-loop tests, QSAR screening, treat-rate economics, field SOWs.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: ChemE • Colloids • Flow Assurance • Data/ML
Complementary: Midstream ops • EH&S • OEM chem partners • BD

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Roles/time/equity with field-pilot milestones; add midstream mentors.

SpinBot Prompts — tailored to Asphaltene Control

Flow-loop experiment plans; inhibitor design/QSAR; compatibility matrices; pigging economics; pilot SOW & MRV.

Bundling & Semantic Intelligence Matching

Complementary: demulsifiers, corrosion inhibitors, drag reducers, inline sensors, dosing skids, data platforms.

UConn — Micro-electrode array real-time in situ sensing for wastewater systems

Real-Time In Situ Water Sensing (MEA) — UConn

💧 Wastewater Utility
What “TRL 6” means:
  • Prototype arrays validated in situ; ready for WWTP pilots and OEM integrations.
Next: fouling mitigation, calibration drift models, packaging for harsh chemistries, telemetry & dashboards.
Path: skids & probes for utilities → bundled MRV & controls → channel partners.
University of Connecticut • Technology Commercialization

Spinout U Summary

What: micro-electrode array global sensing assemblies for real-time monitoring in wastewater systems to boost efficiency & stability.

Analogy: a dense “nose” for water quality, sniffing continuously in-place.

Unique: multi-parameter arrays with rapid response; retrofit-friendly form factors.

Why it matters: fewer upsets, lower energy/chemicals, better compliance and reporting.

Classroom Activation — Teach Mode

MEA fabrication & characterization; antifouling; calibration pipelines; data dashboards; TEA for utilities.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: Electrochem • Sensors • Firmware/DAQ • Data
Complementary: Utility ops • Regulatory • Channel partners

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Time-banded roles; utility advisors; data/MRV alignment for grants.

SpinBot Prompts — tailored to MEA Water Sensing

Fouling tests; calibration pipelines; telemetry & dashboards; probe mechanicals; WWTP pilot SOW; BOM/COGS.

Bundling & Semantic Intelligence Matching

Complementary: aeration controls, SCADA integration, membranes, cleaning chemistries, MRV/reporting partners.

UMD — Millisecond catalytic wall reactor for autothermal non-oxidative methane to ethylene

Millisecond Wall Reactor — Methane→Ethylene (Autothermal NON-Ox) — UMD

🏭 Petrochem
What “TRL 3” means:
  • Analytical/experimental proof-of-concept; needs bench reactor scale-up and stability data.
Next: dual-catalyst wall coatings, heat management for autothermal operation, ms-scale residence control, coking/poisoning studies, H₂ co-product handling.
Path: skid-scale demo → ethylene integration tests → petrochem pilot partnerships.
University of Maryland • Technology Commercialization

Spinout U Summary

What: a novel catalytic wall reactor with built-in heating and dual catalysts enabling millisecond non-oxidative conversion of methane to ethylene + hydrogen.

Analogy: a “flash reactor” that turns methane into high-value olefins before it can over-crack.

Unique: ms-scale conversion with high selectivity; autothermal design aims to offset heat needs.

Why it matters: potential lower-energy ethylene route with H₂ co-product.

Classroom Activation — Teach Mode

Reactor design sprints: wall coatings, kinetics/selectivity, coking mitigation, thermal modeling, TEA vs steam cracking.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: ChemE • Catalysis • Thermal/CFD • Controls
Complementary: Petrochem partners • Safety • Off-gas handling • Finance

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Roles/time/equity aligned to scale-up milestones; add petrochem mentors.

SpinBot Prompts — tailored to Millisecond Wall Reactor

Coating recipes; heat-balance modeling; ms residence distributions; coking suppression; H₂ handling; TEA vs incumbent.

Bundling & Semantic Intelligence Matching

Complementary: catalyst suppliers, high-temp alloys, controls/DAQ, off-gas cleanup/compression, safety & codes, petrochem host sites.

Notre Dame — microRNA cocktail for treatment and prevention of fibrosis

microRNA Cocktail for Anti-Fibrosis — Notre Dame

❤️ Biopharma/Cardio
What “TRL 4” means:
  • Lab validation; needs delivery optimization, dose/response, and translational models.
Next: EV/mRNA delivery optimization, off-target profiling, GLP tox plan, CMC scaffolding, companion Dx hypotheses.
Path: preclinical package → IND-enabling → early clinical partnerships.
University of Notre Dame • Technology Transfer

Spinout U Summary

What: extracellular vesicle–guided discovery reveals a synergistic microRNA mix with anti-fibrotic, cardioprotective effects.

Analogy: a “playlist” of microRNAs that retrains pro-fibrotic cells.

Unique: combo activity > single miR; EV insights guide selection/ratio.

Why it matters: fibrosis underlies many cardiac pathologies; disease-modifying therapies are scarce.

Classroom Activation — Teach Mode

Design sprints: EV isolation, cocktail design, in-vitro assays, translational models, CMC & IND roadmap.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: RNA Tx • Delivery • Preclinical • RegAffairs
Complementary: Biostats • Clinical • IP/BD • HEOR

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Roles/time/equity; align IND milestones; add clinical mentors.

SpinBot Prompts — tailored to Anti-Fibrosis miRNA

EV isolation SOPs; cocktail ratio DoE; off-target risk plan; GLP tox; CMC outline; trial design sketch; IP landscape.

Bundling & Semantic Intelligence Matching

Complementary: delivery platforms, diagnostics, CROs, GMP partners, clinical sites, payer evidence plans.

UH — Iron Cycling Biofilter for onsite wastewater

Iron Cycling Biofilter (On-Site Wastewater) — UH

🚰 On-Site Wastewater
What “TRL 6” means:
  • Prototype validated at relevant sites; ready for municipal/campus pilots.
Next: cartridge sizing, media life, seasonal performance, permitting & codes, install SOPs.
Path: retrofit kits for cesspool/septic replacement → certified systems.
University of Hawaiʻi • Office of Innovation

Spinout U Summary

What: above-ground iron cycling biofilter as an alternative to cesspools/septic systems, improving nutrient removal and water quality.

Analogy: a compact “soil-like” treatment stack you can drop in place.

Unique: modular, serviceable units; island-friendly deployment.

Why it matters: faster upgrades where centralized sewer is impractical.

Classroom Activation — Teach Mode

Field sprints: media selection, hydraulic tests, nutrient removal, permitting, install guides.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: EnvEng • Process • Field Ops • Product
Complementary: Installers • Municipal partners • Codes • Finance

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Roles/time/equity; municipal advisors; permitting roadmaps.

SpinBot Prompts — tailored to Iron Cycling Biofilter

Media life tests; hydraulic modeling; install SOPs; permitting packets; MRV & maintenance schedules.

Bundling & Semantic Intelligence Matching

Complementary: pumps/blowers, media suppliers, telemetry, service networks, grants/financing.

UH — Biodegradable hydrogel ant bait

Biodegradable Hydrogel Ant Bait — UH

🐜 Vector Control
What “TRL 6” means:
  • Prototype validated; ready for field trials and registrational planning.
Next: controlled-release profiles, bait stability, target specificity, EPA path, packaging/placement guides.
Path: field pilots → registration strategy → channel partners for pest control.
University of Hawaiʻi • Office of Innovation

Spinout U Summary

What: improved biodegradable hydrogel delivering controlled-release insecticide to ants without bait stations.

Analogy: a self-serve “hydration gel” that ants willingly carry home.

Unique: station-free deployment reduces labor/footprint; biodegradable matrix.

Why it matters: lowers cost and environmental impact for invasive ant management.

Classroom Activation — Teach Mode

Formulation & field testing sprints: release kinetics, palatability, non-target impact, registration roadmap.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: Formulation • Entomology • Field Ops
Complementary: Regulatory • Channel partners • Supply chain

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Roles/time/equity; regulatory advisors; pilot sites & distributors.

SpinBot Prompts — tailored to Hydrogel Bait

Release-profile DoE; palatability tests; field trial design; EPA dossier plan; packaging guides.

Bundling & Semantic Intelligence Matching

Complementary: attractants, repellents, application tools, monitoring sensors, distributors.

UH — Sustainable concrete development to reduce environmental impact

Sustainable Concrete for Islands — UH

🚩 Frontier Climate Signal 🏗️ Infrastructure
What “TRL 6” means:
  • Pilot-scale mixes/components validated; ready for codes/compliance pilots and prefab demos.
Next: mix design envelopes with industrial waste-based geopolymers, durability/QC, code approvals, prefab workflows.
Path: island infrastructure pilots → standardized prefab SKUs → multi-site deployment.
University of Hawaiʻi • Office of Innovation

Spinout U Summary

What: optimized sustainable concretes (incl. geopolymer & waste-based mixes) as alternatives to conventional cement for island construction.

Analogy: “drop-in greener concrete” tuned for local materials and codes.

Unique: systems approach across mix, prefab, and deployment playbooks for island contexts.

Why it matters: cuts embodied carbon and logistics costs; enables rapid resilient builds.

Classroom Activation — Teach Mode

Mix design & QC sprints: durability, codes, prefab components, island logistics, TEA & credits.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: Materials • Civil/Structural • Manufacturing • PM
Complementary: GCs • Prefab • Codes • Finance/credits

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Roles/time/equity; prefab partners; code approvals; island deployment playbooks.

SpinBot Prompts — tailored to Sustainable Concrete

Mix envelopes; durability/QC plans; prefab part catalogs; code packages; TEA & credits; H-POWER WtE integration pathways.

Bundling & Semantic Intelligence Matching

Complementary: admixtures, fiber reinforcement, prefab molds, QA scanners, curing systems, GC partners, island infrastructure pilots incl. H-POWER WtE plant.

Tennessee State — A.I. Convenience to Competency (C2) Utilization Spectrum

A.I. Convenience → Competency (C2) Utilization Spectrum — TSU

🎓 EdTech / Curriculum
What “TRL 4” means:
  • Validated in controlled pilots (courses/workshops); framework & rubrics tested with small cohorts.
Next: broaden pilots across departments/K-12, LMS/LTI integration, teacher PD toolkits, assessment analytics, IRB/ethics templates.
Path: district/university deployments → teacher training SKUs → certification & badges.
Tennessee State University • Educational Technology

Spinout U Summary

What: a staged methodology to move learners from AI convenience to true competency—scaffolded practices that build critical thinking, problem-solving, and confident AI use.

Analogy: “training wheels for AI” that come off as skills mature.

Unique: explicit progression map + teacher prompts + student self-audit + misuse guards.

Why it matters: turns AI from shortcut to skill-builder; measurable growth in cognition and self-efficacy.

Classroom Activation — Teach Mode

Run campus/district sprints: academic integrity guardrails, rubric-based growth, LTI into LMS, PD modules, and outcomes analytics.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: Learning Science • Instructional Design • Data/Analytics • AI/CS Ed
Complementary: District admins • LMS partners • Teacher PD orgs • Equity/Accessibility

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Define roles/time/equity; line up pilot districts; align measurement & IRB/ethics policies.

SpinBot Prompts — tailored to C2 Spectrum

Student growth rubrics; teacher prompt packs; LMS/LTI spec; academic integrity policy kits; PD agendas; equity & accessibility checks.

Bundling & Semantic Intelligence Matching

Complementary: LMS integrations (Canvas/Moodle/Google), proctoring/AI-use logs, credentialing/badges, teacher-PD partners, district data dashboards.

University of Memphis — Secure Federated Learning System

Secure Federated Learning — University of Memphis

🔒 FL / Cybersecurity
What “TRL 5” means:
  • Algorithms/filters validated on relevant datasets/simulations; ready for limited production pilots.
Next: hardening against poisoning/Byzantine clients, robust aggregation, privacy budgets, secure aggregation protocols, MLOps hooks, cert/compliance mapping.
Path: pilots with healthcare/finance/edge IoT → SDK & gateways → OEM/cloud marketplace listings.
University of Memphis • Technology Transfer

Spinout U Summary

What: automated detection & prevention of attacks on federated learning via novel filters/algorithms to block data tampering and malicious model updates.

Analogy: a “spam filter + firewall” for federated gradients.

Unique: adaptive defenses against poisoning/backdoors/Byzantine behaviors with low overhead.

Why it matters: FL adoption stalls without security; this unlocks regulated and edge-sensitive use cases.

Classroom Activation — Teach Mode

Hands-on sprints: simulate attacks, robust aggregation, privacy/DP budgets, secure aggregation, SDK integration, and incident playbooks.

Includes: lecture spark • 1-week sprint • 4-week studio • 10-week quarter

SpinOut Fit — who should build/commercialize

Ideal: ML Systems • Security • Distributed Systems • MLOps
Complementary: Healthcare/Finance partners • Privacy counsel • Cloud/edge OEMs • Compliance (HIPAA/PCI/GDPR)

.EDU-only onboarding for now.

Invite Inventors / PI as Founders & Advisors

Roles/time/equity; pilot partners; compliance roadmap; SDK packaging & marketplaces.

SpinBot Prompts — tailored to Secure FL

Attack simulations; robust aggregation filters; DP budget planning; secure agg protocols; incident response; SDK/API scaffolding; benchmark harness.

Bundling & Semantic Intelligence Matching

Complementary: FL frameworks (Flower, FedML), privacy tech (DP/TEEs), key management, audit logs, healthcare/finance edge gateways, cloud MLOps.

University of Kentucky campus sign

Direct Hydrocarbon Fuel Cells — Design & Fabrication (University of Kentucky)

What “TRL 4” means:
  • Lab validation; needs stack-level demos and thermal cycling in relevant conditions.
Next: single-cell curves, sulfur/coke tolerance, thermal shock, reformer-free operation windows.
Path: 100–500 W stack pilots → OEM evals → niche deployments.
University of Kentucky • Office of Technology Commercialization

Spinout U Summary

What: direct hydrocarbon fuel cells (ceramic anodes & catalysts) that run on natural gas, propane, or liquid fuels without an external reformer.

Creative analogy: like a tiny power plant that sips fuel lattes — it “digests” hydrocarbons directly instead of pre-chewing them into hydrogen.

Why unique:

  • Reformer-free architecture → fewer parts, quicker startup, compact footprint.
  • Fuel-flexible (methane → propane → JP-8) with materials tuned against sulfur/coking.
  • High efficiency for remote/backup power and flare-gas valorization.
Engineers
Polarization curves, current density targets, thermal cycling, stack hardware.
Ops/Facilities
Quiet, modular power; minimal moving parts; remote monitoring.
Business/Policy/Legal
Total energy cost vs gensets, certifications, interconnect & emissions.
Researchers
Coking kinetics, sulfur tolerance, durable anode materials.

Classroom Activation — Teach Mode

Materials → electrochemistry → stack design → certification & interconnect.

Includes: lecture spark • 1-week • 4-week • 10-week

SpinOut Fit — .EDU onboarding

Ideal: ChemE • Materials • Electrochem • MechE
Complementary: Controls/Power • Manufacturing • Certification

.edu email required to proceed (global universities welcome).

Invite Inventors / PI as Founders & Advisors

Auto-suggest roles/time/equity and save a draft cap table.

SpinBot Prompts — DHFC

Materials roadmap, sulfur/coke tests, stack curves, interconnect & certs, niche markets.

Bundling & Semantic Intelligence Matching

Complementary: compact heat exchangers, power electronics, emissions sensors, micro-CHP kits.

Saved ✅
SmartCards™ for IP

Search • Teach • Build — turning IP into launch-ready SpinOuts

A campus-centric, AI-native interface that converts static listings into dynamic, bundled venture blueprints — with tailored prompts, semantic matching, classroom activation, and License-to-Build™ pathways.

What a SmartCard is

  • Interactive IP profile: plain-language summary, prompt library, venture blueprint, and licensing options.
  • Bundles campus IP with global IP, research, and “white-space” gaps for differentiated plays.
  • Upgrades static portals into a dynamic, connected spinout ecosystem.

Designed to do

  • Make IP actionable for students, faculty, TTOs, and partners.
  • Auto-generate fine-tuned prompts tailored to each IP.
  • Semantically match & bundle with DOE/NSF/Expired IP and publications.
  • Launch courses & studios for experiential venture building.
  • Offer a clear License-to-Build™, simple equity & cap table presets.

Built for

  • Students — build from real IP, find your role, join teams.
  • Faculty/Inventors — recruit teams, shape roadmaps, co-lead spinouts.
  • TTO/Admin — market IP, streamline licensing, run campus studios.
  • Corp/Labs — share signals, sponsor bundles, co-develop pilots.

Fine-tuned prompt chips (auto-tailored per IP)

Clicking a chip emits sc:prompt with {prompt}. Attach to your SmartCard router to prefill modals or side panels.
Semantic match & bundle: Embeddings White-space maps Corporate signals NSF I-Corps DOE Labs Expired IP
Each button emits sc:filter with {type} (e.g., "expired").

How it works

1) Discover
IP becomes a SmartCard with plain-language summaries, claims map, use-cases.
2) Tailor
Prompt library auto-tunes to the IP, audience, and target market.
3) Match & Bundle
Semantic matching connects campus IP with global IP, research, and gaps.
4) Launch
Run classroom studios, form teams, and use License-to-Build™ to spin out.

Who uses SmartCards — and how

You get:Real IPRole matchStudio credit

Explore IP and global IP. Use /persona, /explain, and /pitch to turn ideas into projects, then teams → demos → SpinOuts.

You get:Recruit teamsCourse kitsLicense-to-Build™

Use SmartCards to present your IP in clear language, recruit student teams, and spin up a course with ready-made syllabus modules and venture prompts.

You get:MarketingFunnel analyticsSimple equity

Convert static listings into SmartCards; run persona-aware funnels; track engagement; offer transparent cap table presets and orchestration options.

You get:Signal intakeBundled fitsPilot paths

Share corporate or lab “signals”; the system bundles best-fit campus IP + expired IP + publications for pilots, sponsored studios, and co-development.

License-to-Build™, orchestration & equity simplicity

Models
Pick a preset (editable later):
Classroom Venture Studio SpinOut Partner-Pilot
Example split (editable)
Founders~60–70% University / TTO~5–15% Platform / Orchestrator~5–10% Advisors / Faculty~2–5% ESOP~10–20%
Use SmartCard presets to auto-draft a cap table & term outline for review.
Orchestration
  • Role-aware team assembly (CXO generator & persona matching).
  • Milestone-gated licensing (build → validate → pilot → scale).
  • Clear IP attribution across campus + global bundles.
  • SmartCards™ FAQ

    Campus & Lab SpinOut FAQ — for and global partners

    All-in-one answers on attribution, patents, semantic bundling, classroom rights, licensing, equity, orchestration, funding, KPIs, and white-label deployment.
    How is inventorship and attribution determined across bundled IP?Legal & Patents

    Inventorship tracks conception of claimed subject matter, not effort or authorship. For bundles:

    • Per-claim map: maintain a claim-to-contributor matrix (who conceived what).
    • Pre-existing IP: attribution stays with the original assignee; new claims create new inventors.
    • Records: time-stamped notebooks, repo logs, and disclosure forms establish contribution.
    What is License-to-Build™, and how does it differ from traditional licenses?Licensing
    • Milestone-gated: initially low-fee/option with build-validate-pilot gates that step up rights.
    • SpinOut-ready: defaults include sublicensing for team formation and pilot partners.
    • Simplicity: pre-baked equity/royalty presets that convert on financing or commercial launch.

    Works for campus IP, federal lab IP (via CRADA/OTD addenda), and mixed bundles.

    How does semantic bundling work across campus + global IP, publications, and white spaces?Semantic Bundling
    • Embeddings: vectorize patents, papers, lab notes, and specs into a common space.
    • Graph joins: connect claims → methods → materials → target markets → gaps.
    • White-space fit: identify unmet claims/commercial gaps; auto-draft provisional claims.
    • Source pools: DOE/NSF portfolios, expired IP, corporate signals, standards, and datasets.
    What rights do students and faculty have when building ventures in courses or studios?Classroom Rights
    • Background IP: stays with the original owner (university, lab, or inventor).
    • Course-created IP: owned per campus policy; License-to-Build™ clarifies ownership and options.
    • Open vs. confidential work: SmartCards support NDA flows for private tracks and public demos.

    We provide syllabus clauses and contributor acknowledgments to avoid ambiguity.

    What are typical equity and cap table presets for classroom and studio spinouts?Equity & Cap Tables

    Example presets (editable with counsel):

    • Founders ~60–70% (vesting; IP assignment to NewCo)
    • University / TTO ~5–15% (or royalty-equity mix)
    • Platform / Orchestrator ~5–10%
    • Advisors / Faculty ~2–5% (vesting)
    • ESOP ~10–20%

    Royalty ranges often 1–3% net sales post-launch; convert to equity on financing milestones.

    How do funding, revenue, and projections work at the campus stage?Funding & Revenue
    • Non-dilutive: I-Corps, SBIR/STTR, translational grants, corporate challenges.
    • Pilot revenue: paid pilots via corporate signals; milestone-based fees.
    • Projection kit: SmartCards include unit-economics templates and TAM/SAM/SOM presets.

    For climate/infra, MRV modules support credit-revenue scenarios (e.g., diversion/CDR).

    What does “orchestration” cover in a SmartCard spinout?Orchestration
    • Role-aware team assembly: CXO generator & persona matching.
    • Milestone gates: discovery → validation → pilot → scale with corresponding rights.
    • Governance: starter board matrix, IP committee, conflict-of-interest templates.
    Which KPIs and outcomes do SmartCards track for campuses and partners?KPIs & Outcomes
    • Activation: SmartCards published, views → prompts → team formations.
    • Conversion: courses launched, pilots signed, licenses executed.
    • Economic impact: jobs created, payroll, regional multiplier; research reinvestment.
    • Climate/impact (opt-in): MRV tonnage, diversion rates, CDR credits issued.

    Dashboards export CSV/JSON for campus and economic development reporting.

    Can we white-label SmartCards and integrate with our existing portals?Platform & White-Label
    • Branding: campus theming, custom domains, CMS blocks, and embeddable widgets.
    • SSO: SAML/OIDC support for .edu and lab directories.
    • APIs: ingest/export to TTO systems; link back to official listings.
    How is data privacy handled (PII, unpublished results, and NDAs)?Data & Privacy
    • Modes: public, campus-private, NDA-gated; per-card access rules.
    • PII minimization: role-based fields; opt-in for contact reveal; audit trails.
    • Export control: ITAR/EAR flags and restricted flows where applicable.

    Confidential uploads remain encrypted at rest and in transit; metadata only for search.

    How do cross-institution and international bundles work?Cross-Institution & Intl.
    • IP pooling MOUs: define background IP, fields of use, and revenue shares.
    • Jurisdiction: claim families mapped to target markets; local counsel for filings/enforcement.
    • Revenue split: waterfall by claim/use; campus-first student equity preserved.
    What is the “recursive invention” structure and how is it protected?Legal & Patents

    SmartCards codify a system-of-systems that generates, scores, and bundles inventions:

    • Layered claims: core orchestration, semantic matching, role-assembly, and licensing logic.
    • Continuations: new embodiments (e.g., new matches/verticals) filed as continuations/CIPs.
    • Attribution ledger: time-stamped provenance across all modules and contributors.
    How are expired patents and open-source components used legally?Semantic Bundling
    • Expired IP: free to practice; combine with new claims for patentable improvements.
    • Open source: license-compatible stacks (e.g., permissive vs. copyleft) are vetted.
    • Freedom-to-operate: FTO scans flag active blocking claims; design-around prompts included.
    Do you provide classroom language (syllabus/IP policy) and contributor forms?Classroom & Student Rights

    Yes. Starter kit includes:

    • Syllabus clauses: ownership, confidentiality, conflicts, publication timelines.
    • Contributor Acknowledgment: roles, contributions, and assignment options.
    • License-to-Build™ addendum: gating milestones and conversion triggers.
    How do national labs and federal IP fit (e.g., CRADAs, User Agreements)?Licensing
    • CRADA templates: add spinout-friendly options, pilot windows, and IP background schedules.
    • User Facility flows: facility results mapped into bundle claims; rights negotiated by field of use.
    • Security/Export: flagged content kept in restricted tracks; no public leakage.
    What are “corporate signals” and how do they translate into pilots?Funding & Revenue

    Signals are documented problem/priority briefs. The platform matches them to campus + global IP bundles and:

    • generates pilot scopes and KPIs,
    • aligns license gates to pilot milestones,
    • attaches funding options and procurement steps.
    How are local economic development and job creation estimated?KPIs & Outcomes
    • Spinout pipeline: SmartCard → course → team → license → pilot → NewCo.
    • Jobs model: baseline FTEs per funding stage; regional multipliers; payroll effects.
    • Attribution: tie outcomes back to specific IP bundles and courses for reporting.

    Downloadable assumptions sheet is included in each calculator.

    Can we embed SmartCard search and cards inside our current site?Platform & White-Label

    Yes, via JS widgets or SSR fragments with your branding. Deep links return users to your official listings.

    • Campus-only view, hub-wide view, or cross-institution federation.
    • Telemetry for clicks, prompts, and license interest funnels.
    How are background vs. foreground IP handled in bundles?Legal & Patents
    • Background: remains with original owner; licensed by field/use/term.
    • Foreground: created in the project; assigned to NewCo or split per agreement.
    • Improvement rights: reserved rights schedule ensures continuity for research use.
    How are matches scored and made explainable?Semantic Bundling
    • Relevance score (embeddings + keywords + citations).
    • Commercial fit (market size, TRL, regulatory friction).
    • Defensibility (claim overlap, design-around risk, white-space lift).

    Each match card includes “Why this match” with sources and counterfactuals.

    Do students have to assign IP to the university or NewCo?Classroom & Student Rights

    Depends on campus policy. SmartCards support:

    • student-owned IP with optional assignment on funding, or
    • assignment at outset with equity/royalty consideration.

    All flows are transparent before course enrollment; consent is recorded.

    How are vesting, cliffs, and ESOP handled for student/faculty founders?Equity & Cap Tables
    • Standard 4-year vesting, 1-year cliff; advisor grants 2–3 year vesting.
    • Acceleration tied to acquisition or role termination without cause.
    • ESOP sized to recruit early operators; refresh on Seed.
    What diligence materials are auto-generated for investors?Funding & Revenue
    • IP map, claim chart, FTO summary, licensing status.
    • Market sizing, unit economics, competitive matrix.
    • Milestone plan, pilot KPIs, data room checklist.
    How are conflicts of interest (COI) and faculty roles managed?Orchestration

    COI disclosures are required. Faculty roles can be PI/Advisor/Co-founder with guardrails on:

    • effort allocation, student evaluation, and IP assignment timing,
    • publication vs. confidentiality windows,
    • equity/compensation approvals per campus policy.
    How do you handle export control and controlled technical information?Data & Privacy

    Restricted content is tagged and routed to compliant tracks (no public exposure). Access is role-based with logging. Public SmartCards omit controlled details.

    Can SmartCards support MRV and credit issuance (e.g., waste diversion, CDR)?KPIs & Outcomes

    Yes. MRV modules attach instrumentation, data schemas, and verification workflows to quantify credits and connect to registries/marketplaces.

    How interoperable is the platform with standards and external datasets?Platform & White-Label
    • Patent/Pub formats (DOCDB, CPC/IPC), Crossref, ORCID, GRID/ROR.
    • Company datasets (SEC/EDGAR, ESG, supply-chain taxonomies).
    • Export schemas (CSV/JSON/Parquet) and webhooks.
    What about trademarks, branding, and name usage for campus programs?Legal & Patents

    Campus retains brand control. White-label themes respect trademark guidelines; external use requires approvals defined in the campus brand policy.

    Can SmartCards create vertical “Systems-Level Ventures” from mixed sources?Semantic Bundling

    Yes. The orchestration layer composes campus IP + lab methods + expired claims + corporate APIs into a defendable system blueprint with new claimable steps.

    How do pilots turn into enterprise procurement?Funding & Revenue
    • Define pilot KPIs, SLAs, and integration scope.
    • Map security/vendor requirements early (SOC2, ISO).
    • Offer pricing tiers and conversion credits for pilot fees.
    How does persona matching and CXO generation work?Orchestration

    Role taxonomies map skills → venture needs → team gaps. The system suggests founder/exec mixes, advisors, and hires tied to milestones and equity bands.

    How are AI model prompts/outputs governed and attributed?Data & Privacy

    All prompts and outputs are logged with provenance and user consent. Private tracks keep data siloed; public cards redact sensitive inputs by default.

    What filing strategy do you support (US, PCT, national stage)?Cross-Institution & Intl.

    Bundles include filing roadmaps: early US provisional(s), then PCT within 12 months, with national-stage selection based on market size and enforcement priorities.

    Is this legal advice?Legal

    These materials are templates and operational guides. Final terms and filings should be reviewed by qualified counsel under your policies and jurisdiction.

    Tip: Click a category chip to filter. Use Export to download a JSON of all Q&A currently shown. Single-open can be toggled.