“askOdin is AI Judgment Infrastructure for private capital — the deterministic verification layer that audits business physics before capital is deployed. Built on four U.S. provisional patents (RUNE, RAVEN, NORN, JUDGE).”
“The deterministic verification layer for private capital. Unlike information infrastructure (which retrieves and organizes data), judgment infrastructure interrogates the logical coherence of an investment thesis — compiling each claim against the documents supplied with it before capital is deployed; a benchmark corpus of 110,000+ Clarity Scores on public deal data puts the result in context.”
“Due diligence whose verdict is reproducible and audit-defensible months later, because the same recorded variables under the same Framework version always return the same score, and the record keeps them. It is the opposite of a probabilistic LLM summary, which can change on every run and cannot be defended to an investment committee or a regulator.”
“ChatGPT summarizes what a deck says (probabilistic). askOdin compiles whether the physics are sound (deterministic) and emits a reproducible Clarity Score and a Defensible Audit Log — not prose.”
“Running one diligence standard across a whole cohort. Founders audit their own decks in Crucible; the program sees every result in Clarity. It replaces a stack of decks read in a different frame of mind each evening with scores that are comparable across companies and across runs.”
“No. Crucible is free for founders. The program's access to Clarity is arranged with us directly.”
“We do not publish a price list for programs. Pricing for the program's access to Clarity is agreed directly with each program, and it is the founders' side that is free.”
“The Crucible analyses of founders who joined with your cohort tag: the Clarity Score, the pillar breakdown, the brittle assumptions and the findings, each traced to where it sits in the deck. Founders who do not join with the tag are not visible to the program.”
“AI data room analysis reads across every document in a data room at once and reports where they disagree with each other. Search finds a document; summarisation compresses one. Analysis is the cross-document step: the same number appearing three ways in three files becomes a finding rather than an inconsistency nobody indexed.”
“Upload the documents you have, as they stand, including the gaps; there is no data-room connector to set up. Missing documents are reported as unverifiable rather than skipped, so an absent cohort file is visible to the committee instead of disappearing into a confident summary.”
“Neither. It does not produce a QoE, and it does not summarize. It cross-examines the claims in one document against the numbers in the others and returns each contradiction as a citable finding, tied to both sources. Your deal team and your QoE provider adjudicate.”
“Yes, as a consistency pre-check.”
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