Evaluator Bench
evaluator; distance from a lab: 2

Transluce

Scorecard

Nonprofit oversight-tools lab; convenes the AI Evaluator Forum that wrote AEF-1.

Nonprofit, San Francisco, US. Independent referee; listed with independent referees. Confidence high. Domains: misuse, autonomy, benchmarks, assurance.

No floor triggered 8/8 evidenced · Retrieved & confirmed Scores by preset: Lab procurement –; Regulator or auditor –; Public trust –; Equal weights –. Weakest evidenced dimension: funding 2/4. No evidenced dimension below 2 — not a pass. No floor triggered means no disqualifying conflict is on file, not a pass. Full evidence.

The weighted numbers are hidden until you ask for them: two readers with different priorities see different numbers, and neither is the site's.

What would move the score. Routine pre-release access under AEF-1 terms.

Dissent, lower. Funding could be 1. In FY2025, 38% of Transluce's revenue came from the personal holdings of Anthropic and OpenAI employees, which are lab equity by another name; anchor 1 is material revenue or investment from evaluated labs or their investors, and 38% is material by any accounting test. The policy permits such donations, and the donors are not named or bounded in size.

Dissent, higher. Funding could be 3. No revenue came from developers as organizations, no evaluation has been paid, the employee donations were unrestricted and are disclosed by share each year under a published policy aligned to AEF-1, and the remainder is philanthropy and government contracts including an EU AI Office consortium seat. Anchor 3 is mostly philanthropic or public money with some lab-linked funds, which describes 62% of the base.

Each value is the tightest admissible cap or, with no cap, the highest admissible floor, under RULES.md. The binding signal is highlighted. A dash means no admissible signal sets a bound under the Retrieved & confirmed policy.

Funding 2/4
Anchor 2: Labs pay per engagement; otherwise diversified.
evidence: tier 3 (self)
floor and cap disagree
Conflict: floor 3 from transluce.03 (F.12) against cap 2 from transluce.09 (F.7); resolved at 2 by F.7: Transluce's disclosed FY2025 revenue includes 38% from the personal holdings of Anthropic and OpenAI employees, above the 10% threshold; F.7 caps at 2 despite the government and philanthropic base.
Curator: Anchor 2: no money from developers as organizations and no paid evaluations, but 38% of FY2025 revenue came from lab employees' personal holdings, which are lab equity. The disclosure is the best in the population; the exposure is still material.
Resolution: F.7 decides 2. Transluce's disclosed FY2025 revenue includes 38% from the personal holdings of Anthropic and OpenAI employees, above the 10% threshold; F.7 caps at 2 despite the government and philanthropic base.
Governance 3/4
Anchor 3: Nonprofit or public body with a COI policy.
evidence: tier 3 (self)
Floored at 3 by transluce.10 (G.2): Published independence policy aligned to AEF-1 2.3: annual disclosure of developer-linked revenue share, paid-evaluation disclosure, no organizational equity in developers, third-party ethics hotline.. No admissible signal caps it.
Curator: Anchor 3: nonprofit with a published COI policy and disclosure duties; board of three includes the CEO, so independent-board evidence is thin.
Personnel 2/4
Anchor 2: Frequent two-way hiring; recusal on request.
evidence: tier 3 (self)
Capped at 2 by transluce.12 (P.4): An advisor is on the technical staff of Thinking Machines; a board member runs Halcyon Futures, which funds AVERI and AIUC.. Floors up to 2 from transluce.04 do not exceed the cap.
Curator: Anchor 2 (closest fit, provisional): the governance head previously led CAISI and no lab board roles were found (transluce.04), but a current advisor sits on Thinking Machines’ technical staff and a board member runs Halcyon Futures (transluce.12). Provisional readings are open to public correction through the contribution path.
Access depth (lab-granted) 2/4
Anchor 2: Pre-release with safeguards off or extended time.
evidence: tier 3 (self)
mechanism: lab-controlled
Capped at 2 by transluce.06 (A.1): Mostly post-deployment access; used in Claude 4 pre-deployment analysis once rather than routinely..
Scope control 3/4
Anchor 3: Evaluator sets scope and can add questions.
evidence: tier 3 (self)
Floored at 3 by transluce.07 (S.5): Sets its own evaluation questions.. No admissible signal caps it.
Publication rights 2/4
Anchor 2: Publishes; lab reviews with broad redaction.
evidence: tier 3 (self)
mechanism: self-imposed
Floored at 2 by transluce.02 (R.7): Published the largest independent cross-vendor evaluation of responses to mental-health crises (77 variants) without lab sign-off.. No admissible signal caps it.
Method transparency 3/4
Anchor 3: Tasks or code partly open.
evidence: tier 3 (self)
Floored at 3 by transluce.08 (M.1): Open tools (Docent) and published methods.. No admissible signal caps it.
Role incompatibility 3/4
Anchor 3: Tools are open or free to the ecosystem.
evidence: tier 3 (self)
Capped at 3 by transluce.05 (X.4): Docent is used inside Anthropic, DeepMind and Thinking Machines, so labs are also tool users..

Values under each evidence policy

DimensionLeads includedRetrieved & confirmedAgainst interestVerified spansPrimary only
Funding2222–
Governance3323–
Personnel2222–
Access depth (lab-granted)2222–
Scope control33–3–
Publication rights2222–
Method transparency33–3–
Role incompatibility3333–
Score, Lab procurement– No floor triggered, 8/8– No floor triggered, 8/8– No floor triggered, 6/8– No floor triggered, 8/8– Unevidenced, 0/8
Score, Regulator or auditor– No floor triggered, 8/8– No floor triggered, 8/8– No floor triggered, 6/8– No floor triggered, 8/8– Unevidenced, 0/8
Score, Public trust– No floor triggered, 8/8– No floor triggered, 8/8– No floor triggered, 6/8– No floor triggered, 8/8– Unevidenced, 0/8
Score, Equal weights– No floor triggered, 8/8– No floor triggered, 8/8– No floor triggered, 6/8– No floor triggered, 8/8– Unevidenced, 0/8

Traced money and ties

hop 1: 2 rows; public: 1 row. Confirmed rows: 3 of 3 Dollar sums: confirmed + unaudited USD rows only; imported figures are not re-derived and never summed. Second hop traced for 3 of 3 sources. Ties: Neil Chowdhury (advisor, distance 1, confirmed). Checked and not found: 2.

Ledger

Money in

Checked and not found

  • N06 Does Coefficient Giving fund Transluce?
    Searched Coefficient grants index, 2,911 rows, snapshot 2026-09-11: no grant from Coefficient Giving in its index. Prompted by imported lead: kevinnbass ledger row EV06. importedhttps://coefficientgiving.org/grants/
  • N16 Does Transluce take revenue from AI developers as organizations?
    Searched organization's own policy disclosure, snapshot 2026-09-14: no revenue directly from AI developers as organizations in FY2025; no paid evaluations to date. Prompted by Transluce's own disclosure policy (transluce.09). confirmedhttps://transluce.org/independence-and-transparency-policy

Roles hosted

Funding graph, focused

Every one-way chain to a lab and to an evaluator at full strength, everything else faded. Hover any name to trace its connections; click a name to open its page.

The funding graph around Transluce Teal lines are money (transfers); amber lines are roles. Solid: confirmed; dashed: imported. Hover a name to trace its chains to the labs and evaluators — each chain runs one way across the columns, never doubling back; hover a line for the row. Every element is a row in data/ledger/. Labs Direct lab ties Two steps Three or more Public or unattributed Evaluators Amazon Anthropic G42 Google / Google DeepMind Meta Microsoft OpenAI Thinking Machines Lab xAI AI Safety Fund (Frontier Model Alexandr Wang Andreessen Horowitz Anthropic employees (personal Ben Mann D.E. Shaw Ventures David Farhi Dustin Moskovitz Frontier-lab employees and alu Holden Karnofsky Jaan Tallinn Jeffrey Ladish Macroscopic Ventures (formerly Miles Brundage Neil Chowdhury Nvidia OpenAI employees (personal hol OpenAI Foundation Peter Mattson Sequoia Capital Zico Kolter Adam Gleave Artificial Intelligence Underw Clement Delangue Coefficient Giving (formerly O Good Ventures Foundation Jason Droege Longview Philanthropy Marco Mascorro Paul Christiano Rajiv Dattani Survival and Flourishing Fund Conrad Stosz Dan Hendrycks Mike McCormick Alec Radford Alignment Research Center Constellation Research Center ELMA Philanthropies Emerson Collective EU budget (Digital Europe Prog Fifty Years (50Y) Founders Pledge Founders Pledge (frontier AI f Gates Foundation Halcyon Futures High Tide Foundation Hillspire (Schmidt family offi Hudson River Trading Jacob Hilton MacKenzie Scott Magarac Venture Partners Obvious Ventures Redpoint Ventures Renaissance Philanthropy Salesforce Ventures Samsung Next Schmidt Sciences Silicon Valley Community Found Skoll Foundation Snowflake Ventures Swish Ventures Sympatico Ventures The Audacious Project (TED) UK government (DSIT) US government (NIST appropriat Valhalla Foundation Vanguard Charitable Wing Venture Capital Y Combinator Andon Labs Apollo Research AVERI Center for AI Safety Epoch AI EquiStamp EU AI Office FAR.AI Gray Swan Hugging Face Open Alignment In Irregular (formerly Pattern La METR Microsoft AI Red Team MLCommons Nemesys Insights Palisade Research RAND Corporation Redwood Research SaferAI Scale AI (SEAL) SecureBio Transluce UK AI Security Institute US CAISI (NIST)