Ingests the evidence
CIMs, contracts, code, customer calls, model specs — pulled in, parsed, and indexed as the source of truth for the engagement.
What Kaptrix does
A decision system. Not a report generator.
Scores what's real
A fixed rubric applied to the dimensions that actually break AI companies. Every score tied back to a specific passage.
Exposes contradictions
Decks claim one thing; contracts and code say another. The gap is surfaced, not absorbed.
Ships decision-grade outputs
IC memo, risk register, execution plan — each one defensible on the way in and on the way out.
How it works
Intake. Scoring. Outputs.
- 01Intake
Ingest the full room — CIMs, contracts, code artifacts, customer calls, model specs.
- 02Scoring
Apply a fixed rubric to the dimensions that break AI companies — every score tied to evidence.
- 03Outputs
Ship an IC memo, risk register, and execution plan with a full audit trail from artifact to decision.
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Outputs
What lands on your desk. Sourced. Auditable. Usable.
Deliverable
AI Diligence Report
What: Ten-section master report: architecture, data, evals, team, moat, vendor risk, scaling, compliance, commercial posture.
Why it matters: The document the partner reads on the train. It has to survive scrutiny.
Deliverable
Investment Committee Memo
What: Recommendation, thesis, key risks, mitigations, and decision rationale — condensed to IC format.
Why it matters: A clear call, not a summary. Dissent is grounded in the same facts.
Deliverable
Technical Risk Register
What: Ranked register of technical, model, data, vendor, and operational risks with severity, triggers, and owners.
Why it matters: The handoff to the post-close team so nothing drops in the first 90 days.
Deliverable
Competitive Posture
What: Where the company leads, where it's exposed, and what happens when the next model release lands.
Why it matters: Tells you whether the moat is real or a six-month lead dressed up as one.
Deliverable
Value Creation & Execution Plan
What: Sequenced 100-day plan: what to fix, scale, restructure, or kill — owner-tagged, tied to thesis levers.
Why it matters: The gap between a good thesis and a good return is execution. This is where that gap closes.
Why Kaptrix
Not another tool. Not another consultant.
- Evidence or nothing — no score exists without a source passage behind it.
- Tuned to AI failure modes — data drift, eval gaps, prompt fragility, vendor lock, silent degradation.
- Contradiction-native — the gap between deck, contract, and code is the product, not an afterthought.
- Reproducible — the same rubric applied the same way across every deal in the pipeline.
- Compounding — your private knowledge base gets sharper with every engagement you run through it.
Execution layer
This doesn't die in a PDF.
- Sequenced 100-day plan with owners, dependencies, and success criteria.
- Architecture and data-layer remediation targeted at the fragility diligence surfaced.
- Eval, observability, and model-governance scaffolding — instrumented before it breaks.
- Vendor and model hardening: reduce lock-in, add fallbacks, renegotiate before leverage shifts.
The moat
Intelligence that compounds.
Your submissions train your private knowledge base — fully isolated, never shared, never used to train models for anyone else.
- Every artifact, adjustment, and rationale folds into your private index — nothing is discarded.
- Patterns across architectures and failure modes carry from deal to deal.
- Institutional memory survives team turnover and market cycles.
- The tenth engagement is materially sharper — and harder to match — than the first.
Before the wire goes out
Don't write a check on AI you can't defend.
You'll answer for this decision — at the next IC, at the board, at the exit. Bring the evidence.