Skip to content
COLD START / catalog / c/afterqueryretrieved 2026-10-08T04:05 UTC · 24 sources read

AfterQuery

AfterQuery pays domain experts to capture how they reason, then sells that structured reasoning as training data and reinforcement learning environments to frontier AI labs.

afterquery.com · San Francisco

CALL NO.CS·AFTERQUERY·26
StageSeries BSeptember 2026[1][2][3][5][6]
Raised$500,000disclosed rounds[15]
Headcount262sources disagree, see below[9][13]
Valuationnot publicly disclosedno source in ledger
Founded2025[9][3]
Money

Raised $500,000 across disclosed rounds.[15]

Series B closed September 2026.[1][2][3][5][6]

Round size and post-money valuation are not publicly disclosed.

Named investors include Altos Ventures, The Raine Group, Y Combinator, BoxGroup.[12][4][11]

People

Spencer Mateega, Co-Founder and CEO[12][2][7][24][9]

Carlos Georgescu, Co-Founder[12][2][7][24]

Danny Tang, Co-Founder[12][2][7][24]

Nancy Fairbank, Head of Operations[12][9][24]

Maggie C., Head of Business Operations and People[12][9][24]

Amish Sethi, Research Lead[12][9][24]

Headcount: sources disagree
262as of Oct 2026

AfterQuery · Oct 2026[9]

Andy Le · Oct 2026[13]

Signals
Oct 8 2026otherNVIDIA publicly used AfterQuery's off-the-shelf office agent data in GDPval work company claim, not independently confirmed[10]
Sep 1 2026fundingAfterQuery reportedly raises Series B at $3.2B valuation, five months after $30M Series A[1][2][3][5][6]
Apr 9 2026newsAfterQuery discloses $100M annual revenue run rate at Series A announcement[12][4][11]
Feb 9 2026launchAfterQuery launches with expert-level human data offering for AI model builders[7]
Comps

Mercor · mercor.com · Named together in the same market map of startups employing knowledge professionals such as doctors and lawyers to support AI model training; same buyer (frontier labs) and same budget line for expert-generated training data.[1][5]

Scale AI · scale.com · Named together in the same market map of expert data providers for AI model training; same buyer and same job to be done of supplying training and evaluation data to model developers.[1][5]

Surge AI · surgehq.ai · Listed in the same competitor landscape for AfterQuery as a provider of human feedback and labeling for LLM alignment, which is the same buyer and the same workflow AfterQuery serves with preference signals and RLHF data.[16]

Invisible Technologies · invisibletech.ai · Listed in the same competitor landscape for AfterQuery as a human-in-the-loop data operations provider for AI model training, the same job to be done and the same buyer budget for expert-generated training data.[16]

Turing · turing.com · Listed in the same competitor landscape for AfterQuery as a provider of expert LLM training data, which is the same buyer and the same expert-data budget line AfterQuery sells into.[16]

Risk

The customer proof is company-sourced only. No independent source in this ledger confirms it.[10]

Next question

Ask for one referenceable production customer.

Not a recommendation. The first thing this ledger cannot answer.

Investor Lens
Why care
The case
What to learn next
Pay attention to
How it wins

Filled in the side panel for invited readers. This card carries sourced facts only.

Sourcestracings · 24

Oct 2026 · theaiinsider.tech

reported

Oct 2026 · afterquery.com

company

Oct 2026 · afterquery.com

company

Oct 2026 · linkedin.com

vendor

[14]org_enrichment

Oct 2026

vendor

Oct 2026 · stableenrich.dev

vendor

Oct 2026 · distillintelligence.com

vendor

Oct 2026 · afterquery.com

company

Oct 2026 · afterquery.com

company

Oct 2026 · afterquery.com

company

Oct 2026 · sacra.com

verified

Oct 2026 · rl-list.com

vendor

AfterQuery

CALL NO.CS·AFTERQUERY·26

AfterQuery pays domain experts to capture how they reason, then sells that structured reasoning as training data and reinforcement learning environments to frontier AI labs.

afterquery.com · San Francisco

StageSeries B
Raised$500,000
Headcount262
Valuationnot publicly disclosed
Founded2025
CompsMercor +4

Ask for one referenceable production customer.

Not a recommendation. The first thing this ledger cannot answer.