A defensible position in a
$10.2B SAM
no one has claimed.
40% of bank–FinTech partnerships fail after nine months of due diligence. Our wedge is to convert that 40% into 5% — through verified members, AI-powered fit scoring, continuous trust monitoring, and early-warning intelligence. We are raising a $1–1.5M seed round to capture this market before incumbents notice it exists.
The market is rebuilding
under regulatory pressure.
The Synapse collapse froze $265M in customer funds. The OCC has averaged 36+ enforcement actions per year against bank–FinTech partnerships since 2024. Every regulator in the United States is rewriting the playbook — and there is no platform purpose-built for the new rules. The window to define it is open today.
Three engines.
One continuous learning loop.
TECH is not a directory. It is three proprietary engines that compound on each other — each one creates data that makes the next one smarter. Together they form a moat that thickens every quarter.
SHIELD™ — verifies who is on the other side
KYB, dynamic Trust Score, continuous compliance automation. By the time SHIELD clears a member, regulators, banks, and fintechs all see the same audit trail. Persona-backed institutional verification is the moat at the front door.
PRISM Engine™ — finds the right partnership
Voyage AI semantic embeddings filter the universe in milliseconds. Claude Sonnet 4.5 then scores the top 50 candidates across 12 institutional dimensions — fit, synergies, risks, regulatory considerations, deal structure. Reproducible. Auditable. Reinforcement-learning per member.
CORTEX™ — keeps the partnership alive
Pulse dashboards, market signals, partnership health scoring, predictive alerts. Converts TECH from a one-time match into the operational OS that customers can't run their partnerships without. Network effects: more data, sharper intelligence.
From 500 members to
$18M ARR in 36 months.
Three-year base case modeled on 0.5% Year-1 penetration of the US-only universe (14,500 institutions). Pricing tiers and unit economics are detailed in the data room, including downside, base, and bull scenarios.
| Year | Members | ARR | Gross Margin | Penetration of US universe |
|---|---|---|---|---|
| Year 1 — 2026 | 500 | $850K | 72% | ~3% |
| Year 2 — 2027 | 2,500 | $5.2M | 76% | ~17% |
| Year 3 — 2028 | 10,000 | $18M | 80% | ~69% |
LTV / CAC ratio
monthly recurring
+ 20% annual prepay discount
Enterprise — $200 → $5K+ MRR
Capital deployed
through the next 18 months.
A focused round to ship the production platform, complete SOC 2 Type I, sign the first 50 paying institutional members, and reach the metrics required for Series A.
- Engineering & Product (4 senior hires + CTO) 42%
- Compliance, Legal & SOC 2 Type I 18%
- Sales, GTM & Walker Group co-marketing 22%
- Cloud & infrastructure (AWS, Anthropic, Voyage) 10%
- Operating reserve (12-month runway) 8%
Founders who have shipped.
Advisors with the relationships.
A founding team that has built and operated AI products in production, partnered with The Walker Group of New York for direct access to the US institutional banking market.
The full data room is available
to qualified investors under NDA.
Fourteen sections. Three financial scenarios with full unit economics. Regulatory analysis (FINRA, SEC, GLBA, BSA/AML, CCPA, DORA). Technical architecture. 12-week roadmap. Customer letters of intent. Available to qualified investors under NDA.