// METHODOLOGY
A rating you cannot interrogate
is just an expensive opinion.
A number is only a standard if anyone can see how it was produced. A credit rating you cannot interrogate is just an opinion with a letter grade attached.
So this page documents the engine end to end: the forensic dimensions a deal is scored against, what the bands actually mean, the contradictions that floor a score regardless of everything else, how the methodology is versioned so a score stays reproducible, and the independence that keeps the number worth trusting.
The Clarity Framework™ is deterministic. It does not summarize a deck and it does not predict an exit. It compiles a thesis into auditable logic and tells you where that logic breaks.
// WHAT GETS CHECKED
Every check deterministic. Every finding anchored to a source.
The Framework is not a checklist that sums points. It runs the same five scored pillars and three audit checks across every deal, organized into four families. Each check is deterministic — the same input produces the same finding — and each finding is anchored back to the source document that triggered it. Nothing is asserted that cannot be traced.
That is the difference between an LLM and a compiler. LLMs optimize for persuasion. askOdin compiles for physics.
CLAIM 01
Problem Definition
Checks: Whether the problem is specific, urgent, and owned by someone with a budget — not a category description standing in for a customer.
The strongest section in most decks, and the one that flatters the rest.
CLAIM 02
Solution Logic
Checks: Internal consistency, narrative provenance, claim-to-evidence linkage, and chronological drift across versions of the deck.
Every assertion is resolved back to a source or flagged as unsupported.
CLAIM 03
Market Evidence
Checks: Whether demand is pulling or supply is pushing — TAM reality, competitive density, pricing power, and regulatory drivers.
A market claim with no contemporaneous evidence does not earn the benefit of the doubt.
CLAIM 04
Business Model Physics
Checks: Whether the economics scale or collapse under load — CAC/LTV, operating leverage, burn multiples, and runway math.
The weakest section across the published benchmark, by a wide margin.
CLAIM 05
Deal Structure
Checks: Whether the ask matches the plan it funds — use of proceeds, milestone credibility, cap-table hygiene, and governance.
A round sized to a narrative rather than to a milestone is visible here.
Cross-document verification across heterogeneous data rooms is handled by the RAVEN Protocol™. The architectural mechanics of RAVEN’s triangulation engine are protected under U.S. Provisional Patent No. 63/994,876 and are not publicly disclosed.
// INTERPRETING THE SIGNAL
What do the bands mean?
The Clarity Score is a 0–100 measure of the structural integrity of a thesis. It is not a probability of success. It tells you whether the logic holds, and where it does not. The bands map the number to a verdict.
Stage changes what a band means in practice, not where the band sits. The floors are the same for every deck and every fund — that is the point of a standard — but a seed deck in WATCH usually has assumptions still to evidence, while a Series A in the same band has evidence that does not reconcile.
The same band means the same thing for every fund. That is the entire point of a standard.
What the bands do not have yet is an outcome record. No score has been graded against what happened to the company. The Provenance Ledger grades the 2026 cohort in public in June 2027, on terms fixed before any outcome exists, and it will report false positives, kill shots applied to businesses that went on to work, in numbers.
// KILL-SHOT TRIGGERS
Some flaws are not flaws. They are terminal states.
A standard spreadsheet gives partial credit. Score 90 on product, hide a solvency crisis in the footnotes, and you still come out with a B+. The Framework does not work that way.
When the engine detects a structural contradiction — a claim that cannot be true given the rest of the document — it applies a primary penalty that floors the score to 0, regardless of how strong everything else looks. A broken foundation does not get averaged against a good roof.
That is a different thing from a deck that is merely bad, and the distinction matters when you read the table. A kill shot is one claim that cannot be true. A low score is many claims that are not good enough. The first collapses to zero because averaging it would be dishonest; the second lands wherever the arithmetic puts it.
That is a feature, not a bug. It is what stops an Investment Committee from underwriting a thesis that was never coherent to begin with.
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Physics violations. The product, as described, cannot do what is claimed. Math does not change based on valuation.
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Cross-document contradictions. The number on slide 9 cannot coexist with the number in the data room. One of them is wrong, and that is dispositive.
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Insolvency & governance failure. The unit economics never close, or the cap table and controls cannot survive scrutiny.
| Case | Score | Trigger |
|---|---|---|
| Theranos | 0 | Physics Violation |
| FTX | 0 | Governance Fraud |
| WeWork | 28 | Compounding — no floor |
Drift between a Presentation Score and a Clarity Score across chronologically sequential documents — Narrative Inflation — is detected by the NORN Protocol™ (U.S. Prov. Patent No. 64/011,252). Runtime interception of a terminal state is enforced by the JUDGE Protocol™ (U.S. Prov. Patent No. 64/017,488).
// VERSIONING POLICY
A score is reproducible against the version that produced it.
Methodologies improve. Rules get sharper as we see more ways a thesis breaks. That creates an obvious risk: if the engine changes, does last quarter’s 72 still mean 72?
It does, because every score is stamped with the version of the Framework that compiled it. We do not silently re-score history. A score issued under one version stays reproducible against that version. When the methodology advances, new scores carry the new version; old scores keep their vintage and their meaning.
That stamp lives in the Defensible Audit Log™. Each compiled judgment is hash-anchored alongside its methodology version, so an LP can pull a decision from eighteen months ago and read exactly how the number was reached from the record — same recorded variables, same version, same score. The past result is checked from that record, not by hoping a fresh run matches: the extraction step runs on an external model, and a model change can move which variables come out of a document.
clarity_score : 72 / 100 band : INVESTIGATE framework_version : Clarity Framework v-stamped methodology_hash : sha256:… reproducible : TRUE — same recorded variables, same version, same score
Illustrative log entry. Field values shown for shape, not a specific deal.
// INDEPENDENCE
We take no positions in the deals we score.
A rating agency that invests alongside its ratings is not a rating agency. askOdin holds no position — equity, advisory, or otherwise — in any company it scores. The engine has nothing to gain from a higher number.
And the standard score is the same for everyone. The same recorded variables, under the same Framework version, return the same Clarity Score for one fund as for another. There is no house number, no preferred-client adjustment, no thumb on the scale. That is what makes the number comparable across funds — and comparability is the whole reason a standard exists.
A fund may sit a calibrated thesis lens beside the standard score — weighting dimensions toward its own mandate. When it does, that lens is clearly labeled as a fund-specific view. It sits next to the standard score; it never overwrites it. The neutral number is always present, always identical, always auditable.
The Independence Guarantees
- No Positions askOdin holds no stake in any scored deal. The output is the product; the deal is not.
- One Standard Score The standard Clarity Score is identical for every firm. Same recorded variables, same version, same number, no exceptions.
- Lens, Labeled A calibrated thesis lens is always labeled and always sits beside the standard score — never in place of it.
Venture capital is the last unaudited asset class. askOdin provides the infrastructure to close the gap.
// THE QUESTIONS
What partners and LPs ask about the method
How is a Clarity Score calculated?
In two passes. An extraction model reads the deck, memo and model and pulls out the variables they state. A deterministic engine then does all of the scoring: five pillars at 0–20 each, three audit checks (business physics, unit economics, market evidence) that can cap a pillar whatever its own score, and a kill shot that floors the whole score to 0 when one claim cannot be true. The total, 0–100, maps to a band. The same variables under the same Framework version always return the same score.
What record shows how an investment decision was made?
The Defensible Audit Log: a sealed, mathematically traceable record issued with every Clarity Score. It carries the score, the band, the Framework version that produced it, and every finding traced to the page or cell it came from. Each audit is bound to the SHA-256 fingerprint (FIPS 180-4) of the files that were read, so a swapped document is evident. An IC or an LP reads the record to see how the number was reached, eighteen months later, without re-running anything.
// THE COMPILER
The engine underneath: the RUNE Protocol™.
Every dimension, band, and kill-shot trigger on this page is executed by the same deterministic judgment compiler. It is what turns a narrative into auditable logic instead of a confident summary — a compiler, not a probabilistic summarizer.
U.S. PATENT PENDING 63/948,559See the methodology run on your pipeline.
The same engine, two doors. Founders pressure-test their own deck. Funds get IC-ready memos and a Defensible Audit Log.
The same rules across your pipeline, and a record an LP can reconstruct eighteen months later.
Your deck and model through these exact rules, in under three minutes. Free.