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AIUC

What it was engaged to test, on what terms, what it found in the document's own words, and what happened afterwards. Every line is a record; every record links to the document it was read from.

▣ THE RECORD for-profit Commercial benchmark and certification firms STORE 2026-10-18
  • Foundednot stated
  • HQSan Francisco
  • Registry idnone cited (company)
  • TestsAIUC-1 certification of AI agents: it writes the standard and conducts the technical evaluations behind the certificate, and says insurers offer coverage to the certified.
  • Money, as the roster puts itFor-profit; $55 million raised (Nat Friedman, Ribbit Capital, First Harmonic, Terrain); on AVERI's funder list as a donor; co-founder Rajiv Dattani is on METR's board.
  • Filesdossier · observatory, sliced to it
Labs tested
no lab document names it
Models
no model named
Span of engagements
none dated
Terms and findings
0 of 0 documents state a term · 0 quote a finding
Money in, US dollars, stated single-recipient rows
no stated figure 0 in · 5 out
Seats, by side
funder 1 1 person: Rajiv Dattani
Afterwards
no later event on record

Each count is the number of store records that name this evaluator. An engagement is one lab document naming it for one model; an outcome is an event on the record afterwards; the money, seats and moves are the observatory's rows filtered to it. A cell that cannot be filled says not stated, and each table ends with how many of its rows state each field.

▣ SLICE 6 / 6 records
Funder
Person
year, month or day

Filters combine: any of the values ticked within a dimension, all of the dimensions at once. A table that has no column for a dimension you have set says so instead of showing rows that cannot match. The address bar carries the slice.

What it was engaged to test 0 engagements

In date order, each from the lab document that names the evaluator. Under each: the four terms that document states (access, model stage, publication, payment) and the finding in its words. A term the document is silent on reads not stated; the tags beside the terms are read off their words and are what the console filters on.

No lab document on record names this evaluator for a model.

Dated 0 of 0Model named 0 of 0Terms stated 0 of 0Finding quoted 0 of 0

The terms, as the documents state them

The same engagements as a grid, one row per document and model, so the silences line up: a document that gives an access window but no payment term, or a finding but no publication term, reads that way here.

DocumentModelAccess windowModel stagePublicationPaymentFindingRecord
no engagement on record

Access window 0 of 0Model stage 0 of 0Publication 0 of 0Payment 0 of 0Finding, quoted 0 of 0

What happened afterwards 0 on record

Events a party published after an engagement: an incident on a model this evaluator's engagement covered, a correction or added disclosure, a later finding that cut against an earlier one, a lab's statement that it acted or did not act on the finding, or a move from this evaluator to a lab it graded. A row the source attaches to this evaluator by name is marked named; one that reaches it through the model it tested is marked via the model. The kind is what the record states, not why.

KindDeveloperModelWhat the record statesWhenSourceId
no later event on record

Dated 0 of 0Model named 0 of 0Tied to an engagement 0 of 0Evaluator named by the record 0 of 0

The money on record 5 rows

Rows of the observatory's money table that name this evaluator as recipient (in) or as funder (out), each as the record states it: a grant table line, a contract notice, a Form 990 schedule or the party's own disclosure. A figure quoted in prose is marked and never summed.

DirectionFunderRecipientAmount, as recordedWhenRecordSourceId
outFathom; Halcyon Futures; Coefficient Giving; Geoff Ralston; the AI Underwriting Company; Craig Falls; Good Forever Foundation; Sympatico Ventures; non-executive employees and alumni of frontier AI companiesAVERIno amount publishedNo amounts publishednot datedparty's own pageAVERI, About3ecd726491
outFathom; Halcyon Futures; Coefficient Giving; Geoff Ralston; the AI Underwriting Company; Craig Falls; Good Forever Foundation; Sympatico Ventures; non-executive employees and alumni of frontier AI companiesAVERIno amount publishedAPI credits from Amazon, Anthropic, Google DeepMind, Microsoft, OpenAI and Thinking Machines Labnot datedparty's own pageAVERI, Aboutbd3a0dae0d
outAIUCAVERIno amount publishedListed among AVERI's fundersnot datedparty's own pageAVERI, About; AIUC, team230b49751e
outAIUCAVERIno amount publishedno amount publishednot datedparty's own pageAVERI, About; AIUC, teamaf2d5cd33e
outAIUCAVERIfigure in prose, not a stated paymentAIUC has raised $55 million from Nat Friedman, Ribbit Capital, First Harmonic and Terrainfrom Nat Friedman, Ribbit Capital, First Harmonic and Terrainnot datedparty's own pageAVERI, About; AIUC, team99e0296a2f

Amount stated 0 of 5Dated 0 of 5Purpose stated 1 of 5Funder profiled 5 of 5Recipient on the roster 5 of 5

Seats and moves 1 seats · 0 moves

Seats read off a team page, a governance page, an appointment notice or a filing that name this organization, and the dated moves into or out of it, from the observatory's own tables.

PersonSideSeat, as the record states itRoleDatesSourceId
Rajiv Dattanislice funderCo-founder, Artificial Intelligence Underwriting Company (AIUC); "Career Transition Grant" and "Invested in Every Round" on Halcyon Futures's pageCo-founderdates not statedMETR; ProPublica; AVERI; AIUC; Halcyon Futures84a9523aac

Role read 1 of 1Organization read 1 of 1Organization profiled 1 of 1Dated 0 of 1

Moves

PersonFromToWhenSourceId
no move on record names this evaluator

From profiled 0 of 0To profiled 0 of 0Person profiled 0 of 0Dated 0 of 0