USE CASE // DEAL TEAM INFRASTRUCTURE
Beyond AI Due Diligence Software.
The first generation of AI diligence tools solved data retrieval. askOdin solves deterministic evaluation. Same data room. Different category of output.
780+ outcome-labeled benchmarks · 4 U.S. patents pending · IPOS §34 cleared
Extraction is solved. Evaluation is the new bottleneck.
The first wave of AI due diligence software did exactly what it promised: it made analysts faster. It could search a 500-page data room, summarize a CIM, and format a memo. That was a necessary first step.
But retrieving data is not the same as underwriting risk. When a partner signs a memo, they aren't verifying that the AI summarized the documents correctly. They are verifying that the business physics actually work.
That is the work the next generation of infrastructure has to do. The application layer is loud; the layer beneath it — deterministic, reproducible, audit-grade — is where capital allocation actually gets defended.
Workflow accelerates. Judgment compiles.
01 · Legacy Workflow
Probabilistic LLMs that summarize what the founder wrote.
Faster reading. Tidier memos. The output is a summary — not a verdict, not an audit trail. A summary cannot be defended to an LP.
02 · askOdin Infrastructure
Deterministic protocols that compile the math against 60,000+ benchmarked outcomes.
Same input, different category of output: a Clarity Score, a brittle-assumption inventory, and a Defensible Audit Log per deal. Reproducible across analysts, across years, across LPs.
03 · The Gap, Concretely
A summary can be wrong by being right.
An LLM will tell you the deck projects $10M ARR. askOdin will tell you the cap-table mathematically contradicts the projection — and flag it before the term sheet, not after the markdown.
The audit layer for the last unaudited asset class.
Venture capital is the last unaudited asset class. askOdin provides the infrastructure to close the gap.