Closing your company? Your data can still earn. License it to AI labs before you shut down.See what it's worth

We measure where AI fails at real work.

Then we build the data and environments that fix it.

Why it matters

Smart models still fail at everyday work.

60%

of realistic daily finance tasks failed by leading language models in published research.

AfterQuery research, 2025
$2B

gross annual run rate of one expert data network, most of it from frontier labs.

Dealroom, June 2026
3 to 5x

expected growth in lab spending on RL environments, led by white-collar work.

Wing VC, 2026
Benchmarks in development

Built from real jobs, graded to the cent.

Results publish as each completes. Labs can test early under NDA.

In developmentQ1 2027

CloseBench

Month-end close inside a live ERP, from bank feeds to a balanced trial balance.

SAMPLE TASKPost March accruals for a 45-person logistics company, reconcile two bank accounts and explain every variance over ₹10,000.
Tasks
500
Graded by
Ledger tie-out plus CA rubric
Written by
Chartered accountants
In developmentQ1 2027

OpsBench

Back-office work across CRM, tickets, calls and docs, built from licensed company records.

SAMPLE TASKFrom a recorded sales call, update the CRM, raise the right ticket and draft the follow-up the customer was promised.
Tasks
800
Graded by
End-state checks plus rubric
Written by
Operations leads
Data collectionQ4 2026

Provenance Study

How much paid "expert" data is quietly written by models, and which signals catch it.

METHODCompare typing rhythm, timing and model similarity across 10,000 submissions from different sourcing channels.
Submissions
10,000
Output
Public report and detector
Led by
Trial Balance research
Method

How we build a benchmark.

"Close March books…"
Start from real workPractitioners bring tasks from their own jobs.
ledger · vendors · bank feed
Build the worldA realistic company with real-world mess.
assert tb_diff == 0.00
Write the graderChecks where possible, rubrics where not.
human 93% · model ?
Set the human barExperts solve every task first.

Test your model on real work before anyone else.