Tide Labs builds the infrastructure to verify that real learning happened — using AI trained by educators — and mints blockchain tokens for verified outcomes.
From classrooms to corporate training, the world spends enormously on learning — with almost no infrastructure to verify that learning actually happened.
School funding is tied to property taxes and zip codes — not outcomes. The richest districts spend 3-4x more per student. Teachers earn 34% less than comparable professionals and starting pay is down $3,728 since 2008 after inflation.
Companies spend $20B on training everyone knows employees click through. The DOJ recovered $6.8B in False Claims Act cases in 2025 alone. Healthcare breaches average $4.45M each. The training didn't prevent the failures.
Credentials measure attendance, not comprehension. Test scores measure memorization, not learning. There's no mechanism to verify that cognitive engagement actually occurred — and no way to connect verified learning to economic value.
Tide Labs adds a verification and value layer on top of learning that's already happening — on any platform, in any domain.
Partner platforms — schools, compliance LMS, certification providers — send anonymized behavioral interaction data through our API. Keystroke dynamics, response timing, engagement patterns.
Our 7-stage ML pipeline, trained on educator-labeled data, produces a Learning Confidence Score — a probability that genuine learning occurred, not just task completion.
Verified events trigger token minting on-chain through an oracle network with HSM signing. Three-state decisions: MINT, HOLD, or NO MINT. No guessing.
Tokens are distributed: 60% to the learner, 40% to network operators (schools, educators, families, investors). A retention multiplier rewards durable learning over time.
Two co-equal markets sharing one verification engine. The compliance track generates immediate revenue. The education track transforms how learning is valued.
Healthcare, teacher certification, legal CLE, financial services. Adults who must complete mandatory training — and employers who can't prove it works.
AI-powered schools generating rich interaction data. Students earning tokens for verified learning — funding that follows outcomes, not zip codes.
This isn't a feature — it's a protocol. Protected by IP, reinforced by network effects, and designed for regulatory reality.
164-claim provisional patent filed. Covers verification methodology, token economics, data architecture, and attack resistance.
Novel AI methodology. Learning Confidence Score, Acquisition-Consolidation Distinction, triple-blind educator labeling — no one else has this.
Data network effect. More verified sessions = better model = more accurate verification = more partners = more sessions.
Regulatory-first architecture. FERPA, COPPA, and GDPR compliance built into the protocol. Three-layer data design solves blockchain vs. deletion rights.
Educator-labeled training data. Multi-rater consensus labels are expensive to replicate and impossible to shortcut.
Anti-gaming by design. 14 attack categories, model-based detection, graduated response, circuit breakers. Built into the patent, not bolted on.
We're building the infrastructure to connect verified learning to real economic value. Get on the list for early access — as a partner, investor, or supporter.