Get Your Campus Impact Estimate

60-second snapshot with confidence bands, sector split, and downloadable PDF.

Sector Mix (must total ~100%)
Total: 100%
View calculation assumptions
  • Confidence bands use three coefficient sets (Conservative, Base, Aggressive) for IP, courses, and funding effects.
  • Spinouts/yr β‰ˆ base(campus size) + kipΓ—IP + kcourseΓ—courses + kfundΓ—(fund/1000) + partner bonuses.
  • Bundles/yr β‰ˆ bipΓ—IP + partner bundle bonuses.
  • External funding β‰ˆ spinouts Γ— $1.5M (editable) + 20% of existing fund; efficiency modeled at $150k per stream.
  • Sectors are proportional splits of spinouts/funding (normalized to 100%).
Edit constants in the script config block below to tune per campus.

From Disconnected IP to System-Level, Fully-Attributed Patents

Raw disclosures, expired patents, lab notes, datasets, and know-how stream into the SpinOut U Engine. The output: a system-level, claim-ready patent scaffold with explicit attribution, AI-assisted logic, and enterprise alignmentβ€”becoming the foundation for classroom-to-venture build tracks.

SPINOUT U ENGINE
Semantic Bundling β€’ Novel Logic β€’ Claims Drafting β€’ MRV β€’ Compliance
In: 0
Patents: 0
Attribution Links: 0
Incoming IP chips follow motion paths into the Engine, triggering a patent & attribution burst.