AfterQuery S Verified

RL environment company · Multi-Domain

On X
@afterquery ↗
Funding
$30M raised · Y Combinator W25 · rounds and investors
Tier
S why
Snapshot

Open environment ↗afterquery.com

What AfterQuery does

AfterQuery sells expert-generated AI training data (SFT, RLHF, rubric-based RL), tool-calling and computer-use RL environments, off-the-shelf datasets, custom evals, and enterprise post-training and forward-deployed engineering services.

Leads with
Several domains (a generalist)
Based in
San Francisco, USA
Team
51-100

What AfterQuery sells

Read from AfterQuery's own website, checked October 11, 2026: the line that puts it in each category.

RL environments

Data

Also

Domains AfterQuery covers

Benchmarks AfterQuery built or runs

  • Legora BAR contributed tasks or data

    “end-to-end legal tasks drawn from real cases across 28 practice areas, with a public case co-created with AfterQuery.”
    afterquery.com/research ↗

AfterQuery competitors and alternatives

The companies that sell the most of the same things in the same domains, and what they share with AfterQuery.

Every RL environment company on the landscape map →

Tier S

S

Category leader: 200+ people, $100M+ raised or a $1B+ valuation.

How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.

  • team 51-200
  • raised $30M
  • valued $3.2B
  • investors: Altos Ventures, The Raine Group, Y Combinator
  • went through Y Combinator Winter 2025
  • in curated RL directories (5 pts)

On X · well regarded, low buzz, from 14 posts about AfterQuery in the last month

Mostly self-promotion and partner posts; NVIDIA named it a Nemotron post-training partner and Modal featured it, but there is little independent customer discussion.

@spencermateega ↗ · @AfterQuery ↗ · @AfterQuery ↗

How we got to tier S
  1. Adoption: team 51-200; raised $30M; valued $3.2B; investors: Altos Ventures, The Raine Group, Y Combinator; went through Y Combinator Winter 2025. Tier S.
  2. On X: well regarded, low buzz. “Mostly self-promotion and partner posts; NVIDIA named it a Nemotron post-training partner and Modal featured it, but there is little independent customer discussion.” No move.
  3. In curated RL directories: 5 points, a floor of C.
  4. Confirmed: a line from its own site or paper places it.

A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.

AfterQuery funding

Raised
$30Msum of the rounds below
Latest round
Funding round2026-09
Valuation
$3.2B2026-09
Accelerator
Y Combinator W25

Backed byY Combinator Winter 2025Altos VenturesBoxGroupLatitude CapitalThe Raine Group

Rounds

  • Funding round at a $3.2B valuation · 2026-09
    AI training-data startup AfterQuery has reportedly raised a round valuing the company at $3.2 billion, according to Forbes
    1. Read: “AI training-data startup AfterQuery has reportedly raised a round valuing the company at $3.2 billion, according to Forbes”
    2. Found word for word on a page found by search: theaiinsider.tech/2026/09/02/afterquery-valued-at-3-2b-in-new-funding-round
    3. The quote names the round only
    4. No other page or directory names it yet
    theaiinsider.tech/2026/09/02/afterquery-valued-at-3-2b-in-new-funding-…
  • Series A · $30M at a $300M valuation · 2026-04 · led by Altos Ventures
    Today, AfterQuery is excited to announce our $30 million Series A at a $300 million valuation, led by Altos Ventures, with participation from The Raine Group and our existing investors, Y Combinator, BoxGroup, and Latitude Capital.
    1. Read: “Today, AfterQuery is excited to announce our $30 million Series A at a $300 million valuation, led by Altos Ventures, with participation from The Raine Group and our existing investors, Y Combinator, BoxGroup, and Latitude Capital.”
    2. Found word for word on its own site: afterquery.com/blog/human-expertise-reimagined
    3. The quote states the amount and who led it
    4. Also named by 2 other pages read
    afterquery.com/blog/human-expertise-reimagined

Accelerator

  • Y Combinator Winter 2025
    1. Y Combinator's company directory lists AfterQuery with the website afterquery.com, in its Winter 2025 batch
    2. Checkable on YC's page: ycombinator.com/companies/afterquery
    3. 4 pages read also name Y Combinator
    ycombinator.com/companies/afterquery

Funds 4

  • Altos Ventures led a round

    Named in the round quoted above.

  • BoxGroup
    We have raised our most recent round from BoxGroup, YC and a group of strategic angels that will push us to be at the forefront of the industry.
    1. Read: “We have raised our most recent round from BoxGroup, YC and a group of strategic angels that will push us to be at the forefront of the industry.”
    2. Found word for word on its own site: experts.afterquery.com/apply/senior-fullstack-engineer
    3. Also named by 1 other page read and a curated directory
    experts.afterquery.com/apply/senior-fullstack-engineer?ref=mEle6EBDgHR…
  • Latitude Capital

    Named in the round quoted above.

  • The Raine Group

    Named in the round quoted above.

Every figure is quoted from its own site, its accelerator or a funding announcement; a round's amount and lead appear only when its quote states them. Startup databases are never used as evidence. Checked 2026-10-11. How funding is checked.

Training methods

Methods AfterQuery uses, offers or builds for, with public evidence: its own website says so, or two independent sites do.

  • “Launching the RLVR stage on Tinker:”

    afterquery.com
  • “Not all tasks are equally useful for RL. Tasks the model solves consistently or fails every time provide no learning signal. We select tasks where the SFT checkpoint has a 10–80% solve rate. These are the tasks where GRPO can compute meaningful advantages: some attempts succeed, some fail, and the model can learn from the difference.”

    afterquery.com
  • SFT Supervised Fine-Tuning On its own website

    “Our training pipeline had two sequential stages. The first stage teaches the model what good terminal-agent behavior looks like via SFT on gold trajectories. The second stage uses RL to push the model toward solving harder problems it only partially gets right after SFT.”

    afterquery.com

Where AfterQuery sits

Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map

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Latest from AfterQuery on X

@afterquery ↗

Next: browse all environments. Entry from the RL Research daily scrape of public sources, 2026-11-05 snapshot.