Mercor

The specialist wedge

The bet is that one domain buys cheaper experts and faster belief, and that both advantages expire the moment you have a reference customer. What would have to be true, what the evidence supports, and the trade-off that decides which niche.

Accounting, audit and tax

The cheapest credentialed pool in the set, the only one with a queryable national licence register, and nobody selling into it — against the second-thinnest evidence that a frontier lab wants it.

playbook

Building the supply side

Seed supply first, but only as much as the first contract consumes — and answer the utilisation question before anything else, because it is what kills these companies.

Centaur.ai, in full

The clearest incumbent in medical annotation sits a layer below the business under consideration — volume labels from a semi-credentialed gamified crowd at an implied $10–25/hr, against Mercor's $110–250/hr for physician judgement.

Contra Labs

Not a startup — a business line of a six-year-old freelance marketplace, launched five months after a $740K cheque. The template everyone wants to copy, and the parts of it that do not survive inspection.

Expert data for frontier labs

Labs buy throughput of credentialled human labour — annotation, preference data, reasoning traces, RL environments — and pay nine figures for it at a staffing margin.

Offensive supply

Every researcher count in this market is inflated about thirtyfold, the median earning bug bounty hunter makes $1,620 a year, and twenty hours at $85 beats that — so the recruit is the 97% the platforms never monetised, not the top hundred.

Taste Labs, in full

The dangerous competitor is not Contra. It is the company whose founder already sold to foundation labs, whose fourth and fifth hires train models, whose raters nominate each other — and which has published a research agenda promising to build the one asset Contra actually owns.

The health read

Build, in four of thirteen specialties, and not the ones the screen liked. The cost objection that killed clinical medicine on the shallow screen turns out to apply to exactly one specialty out of thirteen. The finding that should worry you is that the largest buyer ran its own physician recruitment funnel, published it in full, and named no vendor anywhere in it.

The security read

Build, still — but on worse terms than the first reading. The six firms are named, one of them already sells this exact product to at least two labs, the first contract values in the market's history are now public from UK transparency data, and the elite labour tier costs three times what the earlier estimate assumed.

The taste read

The lane is chosen, so the question is what is true about it. Mercor already sells the premium version at $150–250/hr, the arena layer holds 6,047,075 image votes collected free, the data costs $0.91 a comparison, and a 10–25x pricing contradiction sits unresolved at the centre. Three things are genuinely in the client's favour and one of them is a property right no US competitor can hold.

What a rake can actually be

A take rate above ~20% survives only if you sell something other than discovery. Everything else — expert networks at 70%, freight brokerage at 8.5% — is a consequence of that one rule.

What the model actually is

Buyers with money but not capability, sellers who are fragmented, and a middleman who organises them and keeps a big cut. Four conditions have to hold at once — and calling the result a marketplace is how it gets mis-priced by a factor of ten.

BioStack and Sepal

You are not first. A seven-person YC company founded in October 2025 is already selling clinical RL environments and evaluations to top AI labs under a six-figure contract — and it barely appears in any market map.

Contingency recruiting marketplaces

Paraform has raised $65M and paid $50M to recruiters. Back the split out and the whole lifetime business is roughly $71M of placements and $21M of net revenue — against a perm-placement pool an order of magnitude smaller than the TAM slide says.

Defensive supply

A threat intel analyst's day job pays $48.10 an hour and Mercor pays $85–95 for AI evaluation work — a 1.8x arbitrage, remote and flexible — reachable through two newsletters, one of which is now run by a frontier lab employee.

GMV is not revenue

The same company is worth 13x or 38x depending on which number you divide by. Nearly every headline in this sector quotes the one that flatters — here is how to tell in ten seconds.

How to evaluate one of these

Six scores, one to five, higher always better for the operator — what each is trying to capture, where each misleads, and the three disqualifiers that override any total.

Law

The largest credentialed pool anywhere in this atlas, a real observed clearing price of $140–160/hr, no vertical specialist — and a privilege problem with the cleanest workaround in the report.

playbook

Pricing and the contract

The buyer's alternative is nearly always to hire someone, and increasingly an offshore someone at half the cost. Price against that — then decide gross or net deliberately, because the same facts that book you gross make you an employer.

Surge AI

Bootstrapped to over $1B of revenue with 130 employees and no outside capital — and the one company whose valuation nobody can pin down.

What the health dossier could not establish

Ranked by how much the answer moves the decision. The top item is that nothing in the entire record shows any lab, device sponsor or health-AI company buying clinical expert data from a vendor — not one contract, not one named supplier, not one rate.

What to build first

Taste has no oracle, so inter-rater agreement is the manufactured one — which makes the panel, not the file, the product. Build a calibrated, named, consented panel and sell the sealed evaluation content that falls out of it; run it first in product and UI design on de-novo briefs; and remember that the corpus is a $1M line item a lab insources in one meeting.

Defensive security

The widest benchmark gap found anywhere — frontier models at 23–34% on malware analysis — with a small reachable pool and the hardest data-sourcing problem in the set. Superseded: the deep dossier found the incumbent this page said did not exist.

Paying the crowd

Gray Swan buys perpetual worldwide rights to an attack trajectory for about $3.77; Mercor pays $70–95 an hour and up for the same skill. Tournament and payroll are different products, and the buyer of a dataset wants the expensive one.

Scale AI

Took $14.3B from Meta for 49% of itself and lost most of its frontier-lab book within weeks — the cleanest natural experiment in why neutrality is the product.

Sizing the taste market

$50–300M of externally-purchased spend, central $100–150M, built from a $6–10B expert-data market with a $3.8B verified floor times a 1–3% creative share. The uncomfortable half: published practice pays $0–16/hour for aesthetic judgement, and a field-defining benchmark cost $13,433.55.

The capital register

Every company the sweep found, with what it raised, what it was marked at, what it earns and whether that revenue is gross or net. Plus the exits, the failures and the absence of a public bear case.

What the public market pays for labour

Below ~40% gross margin the revenue multiple is capped near 1.6x, permanently. Accenture proves the ceiling; Fiverr proves that clearing it is necessary and not sufficient.

Evidence register

Not a bibliography — a graded list of the claims the atlas leans on, what each one holds up, where it came from and how much weight it will take.

Handshake AI

A decade-old campus network that already owned the PhDs its competitors were recruiting — zero to $1B gross in fifteen months, on a valuation nobody has re-marked.

How much money is actually in the buyer pool

There are two buyers, not one: about 10–20 labs signing six-to-nine-figure contracts, and several thousand startups buying at roughly $19K. Quoting the $510B headline as a TAM confuses them.

Senior code review

Writing code is saturated and over-served; judging code has near-zero benchmark coverage. The only public, verifiable credential in this atlas — GitHub review history — sits inside the most crowded lane.

Sizing the cyber pot

$25M–$120M a year, most likely $40M–$80M, for externally-sourced frontier-lab cyber evaluation content in 2026 — derived two independent ways that bracket each other, with every step of the working shown and every figure an inference.

Clinical medicine

The best-documented lab demand in the set and the widest open benchmark among the professional domains — attached to the highest cost basis anywhere, where a gastroenterologist's opportunity cost exceeds Mercor's entire ceiling.

Getting cut out

Leakage ≈ value per relationship ÷ (frequency × switching friction). Nobody has ever measured it — the best evidence in the sector is Upwork admitting, twenty years in, that it cannot.

micro1

5x'd in eight months to a $500M gross run rate, and is the only vendor claiming 80–90% gross margin on anything — by reselling the same dataset more than once.

Robotics teleoperation and physical-world data

Buyers pay $50–200/hour for demonstrations, operators get $25–50. The rig and the floor space are what make this defensible — and what the commodity end lost.

The defensive vendors

One direct incumbent sells security data for AI training at $25–49/hr — that is the price floor, and it is not close. Every funded AI SOC startup captures expert knowledge in-product instead of buying it, and Legion is the clearest anti-model.

The generalists in creative

Mercor already sells the exact product — narrated senior design reasoning — at $150–250/hr, from Pentagram and Wolff Olins pedigree, to an unnamed frontier client. Contra's 'up to $100/hr' is the middle of the band, not the top of it.

What we could not establish

The questions that would most change a decision, the thirty-three contradictions the research left unresolved, and the structural holes where no evidence exists anywhere — not just where we failed to find it.

playbook

When to stop

Five numbers and one calendar. Write them down before you need them, because every one of them will arrive attached to a reason it does not count this quarter.

Halluminate

Occupies the finance niche by name, with $160K of disclosed funding that is almost certainly stale. Whether investment banking is taken or barely touched turns on a number nobody has.

Offensive security

The strongest demand evidence of any niche in this atlas — named in system cards, with lab reqs carrying pay bands — which is exactly why two funded specialists already own the network and the benchmark.

The generalists in cyber

Mercor already runs at least six live cyber postings from $54 to $250 an hour, the research files disagree about which rate is the ceiling, and its answer to a specialist is acquisition — two environment deals in five months against a $2B gross run rate.

Turing

A remote-developer staffing firm that repositioned as a lab data provider — profitable, $2.2B marked, and with no hard revenue number since 2024.

Which side you build first

Single-player mode is worth roughly ten times the capital efficiency of subsidising both sides — and supply-side utilisation kills more of these businesses than demand ever does.

Centaur Labs

The clinical incumbent: $31M raised to crowdsource medical annotation through a diagnosis game. It sells labelled artefacts, which leaves physician reasoning unsold.

Expert networks

$200 to the expert, $800–900 to the client, held for four decades. The oldest version of this model has the most durable rake in the atlas — and may not sell to AI labs at all.

Invisible Technologies

An operations-as-a-service business that discloses a real profit figure — $134M revenue, $15M EBITDA — and is marked at 15x for it.

One customer is a binary event

Above 15% of revenue a customer is a coin-flip, above 25% you are a division of that customer — and when your buyers compete with each other, neutrality is the product you are actually selling.

Appen

The only pure-play with audited numbers, and a 97% drawdown from peak — the base rate for what a concentrated data vendor is worth when one hyperscaler leaves.

Edison Scientific

$70M and already contracting PhD biologists to build its own benchmark. The wet-lab position is not open — it is occupied by a company that built the moat before selling anything.

Sales and GTM

Cheap labour, an enormous pool, no competitor and no buyer. The one niche in this atlas where every input is favourable and the output is still zero.

You pay weekly, they pay in sixty days

At a 25% gross margin on net-60 terms, roughly 11% of annual revenue is permanently trapped in the gap — and it has to be funded again every time you grow. The tempting fix is to fund it out of the crowd, which is how you acquire a docket.

Marketplace, staffing firm, BPO or agency

Almost every company in this atlas is sold as a marketplace and operated as an agency. Two questions separate them, and the answers set the gross margin, the multiple and whether there is a moat at all.

Mechanize

$9.1M of seed capital, ~35 people, no disclosed revenue, and reported Google talks at $1.5B+ — the licence-and-hire template for selling environments instead of hours.

Video, motion and VFX

The only niche in this atlas with a frontier-lab rate card naming the exact tools, a public benchmark at 34.65%, and zero specialist competitors — attached to the smallest expert pool here, which is the constraint and the moat at once.

Mechanical CAD and manufacturing

The best risk-adjusted entry in the set: a buyer already paying $65–80/hr, an empty vertical, two shallow academic benchmarks, a 16-million-member channel — and the one domain where the dominant tool vendor is provably not hoarding.

Prolific

The only company in the vertical that publishes its take rate — 42.8% on top of participant pay — and the best public anchor for what this spread actually is.

What better models do to each layer

Three different things get called 'AI will eat this': models doing the crowd's work, models doing the middleman's work, and models creating the budget in the first place. They point in opposite directions and every vertical in the atlas sits in a different one.

Architecture, engineering and construction

The widest wage arbitrage found anywhere in this atlas — Mercor paying civil engineers $95–170/hr, two to three and a half times their day job — against the thinnest proof that a lab wants AEC as a durable line item.

Paraform

The archetype of the recruiter-side marketplace: pays independent recruiters ~70% of a placement fee and keeps the rest. $65M raised, $50M paid out, and no independent evidence of any of it.

The law is about to arrive

The EU Platform Work Directive transposition deadline is 2 December 2026. It flips the burden of proof, catches you on where the worker sits rather than where you are incorporated, and closes the BPO workaround with joint-and-several liability.

Investment banking and financial modelling

The only domain in this research where a frontier lab keeps permanent in-house subject-matter headcount — and the only one already occupied by a YC company selling the exact same thing under its own name.

Who is actually on the other end

State-sponsored infiltration, real-time deepfake interviews, multi-accounting and LLM-assisted cheating are all live and documented. The best control against them — 1:N face matching against your enrolled gallery — becomes illegal for EU workers on 2 December 2026.