Quick wins for a faster PC:
Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →Mercor reached a reported $10 billion private valuation in an October 2025 funding round, weeks after Scale AI sued the company and a former employee over alleged trade-secret theft. Scale later voluntarily dismissed the case with prejudice; the public docket does not show a ruling on whether the allegations were true. As of August 18, 2026, $10 billion remains the last clearly documented completed financing valuation, though Mercor was reportedly discussing a possible round at roughly $20 billion.
What Mercor does beyond conventional data labeling
Mercor began as an AI-assisted hiring platform and shifted toward connecting companies developing AI with people who can help train and evaluate models. The company describes its role as organizing human expertise for the AI economy, connecting domain experts with AI laboratories, assessing model performance through its APEX benchmarks, and serving enterprises deploying AI. Its description appears on its newsroom page.
That work is broader than tagging images or sorting text. Depending on the project, professionals may generate examples, rank or critique model responses, verify answers, or assess whether a system can perform specialized tasks. Expert feedback can help developers identify errors and improve models, while benchmarks can measure how well systems perform. Recruiting and staffing remain part of the company’s history, but Mercor increasingly presents itself as expert-data and AI-evaluation infrastructure.
- Expert matching: locating and screening people with relevant professional knowledge.
- Human feedback and data generation: asking experts to review, explain, correct, or produce material used in AI training.
- Quality control and evaluation: checking work and testing model performance on specialized tasks.
- Enterprise workflows: connecting human expertise and evaluation processes to organizations building or deploying AI.
For an AI developer, the value proposition is access to specialized human judgment without having to recruit every expert directly. For a professional, the marketplace may offer project-based work, but the availability, terms, and consistency of assignments are distinct questions from the size of Mercor’s overall network.
What’s actually slowing this PC down?
Pick the symptom - the matching free tool is one click away.
Why investors saw an opportunity
As AI systems tackle more complex work, developers need feedback that goes beyond generic annotation. A lawyer, physician, scientist, or finance professional may be better positioned than a general annotator to judge whether a model’s answer is accurate, safe, or useful in that field. Mercor’s investment case is that it can aggregate this talent and coordinate the work faster than individual AI labs can build equivalent networks on their own.
Scale AI’s position also changed after Meta made a multibillion-dollar investment in the company in 2025. TechCrunch reported that some major AI labs, including OpenAI and Google DeepMind, moved away from Scale following the Meta transaction, creating an opening for competitors. Customer relationships can change quickly, so that reporting is context for Mercor’s opportunity—not proof that any one customer shift caused its valuation.
The competitive argument was not that Mercor had won the market. It was that demand for expert feedback was growing, and that a platform combining talent, workflows, quality controls, and evaluation products might become embedded in AI development. The same thesis carries risks: customers could build their own expert pools, rival vendors could compete for the work, and improvements in AI could reduce demand for human input on some tasks.
The $350 million round that set the $10 billion figure
On October 27, 2025, Mercor raised $350 million in a Series C round at a reported $10 billion valuation, led by Felicis Ventures, with participation from existing investors Benchmark and General Catalyst and new investor Robinhood Ventures. The reported valuation was five times the $2 billion figure associated with its earlier 2025 Series B. TechCrunch reported the round and investors.
Recommended Free Tools
A private funding valuation is a financing benchmark, not a public-market capitalization. It reflects the terms on which investors bought shares in a particular financing; the headline figure alone does not disclose every share-class right, preference, or other term. It also does not mean that employees, contractors, or existing investors can sell their holdings at that price.
Company scale claims need dates and definitions
TechCrunch’s October 2025 report said Mercor had more than 30,000 experts on its roster, average expert earnings above $85 an hour, and more than $1.5 million paid to contractors per day. Those are reported figures from that period, not measures of Mercor’s net revenue or profit.
Mercor’s later newsroom materials listed more than 5 million domain experts and more than $4 million paid to its expert network each day, along with more than 400 employees and offices in San Francisco, New York, and London. These are company-reported figures. The earlier roster and later network count may use different definitions or time periods; the sources do not establish that they describe directly comparable populations of active workers. Contractor payouts also should not be confused with revenue retained by Mercor.
What Scale AI alleged in its lawsuit
Scale AI sued Mercor.io Corporation and Eugene Ling, a former Scale employee, in federal court in the Northern District of California on September 3, 2025. The docket identifies a claim under the federal Defend Trade Secrets Act. The case docket records the parties and procedural history.
According to reporting on Scale’s complaint, Scale alleged that Ling downloaded more than 100 customer-strategy documents and other proprietary materials to a personal Google Drive while communicating with Mercor. Scale claimed the information could help Mercor pursue Scale customers and understand its strategies and products. These are allegations made by a party to the lawsuit, not findings established by a court. Bloomberg Law summarized the reported allegations.
The claim was serious, but the timing does not establish that it caused Mercor’s valuation increase. The suit was filed in September; the Series C was reported in October. The funding reflects investors’ negotiated transaction, while the lawsuit was a separate dispute over alleged conduct.
How the case ended—and what the dismissal does not mean
- September 3, 2025: Scale AI filed suit against Mercor and Ling.
- January 2, 2026: Scale filed a stipulation for voluntary dismissal with prejudice.
- January 5, 2026: The case was terminated, according to the docket.
“With prejudice” means the claims in that action were not simply left open to be refiled in the same form. It does not, by itself, say why the case ended or establish that either side’s account was correct. The available docket history does not show a trial or a merits judgment on the trade-secret allegations. It therefore supports neither “Scale proved Mercor stole secrets” nor “Mercor was cleared.”
The public material cited here also does not establish whether the dismissal followed a private resolution, a strategic decision, or another reason. The distinction matters: a procedural end to a case is not the same thing as a court deciding the underlying facts.
Do these 3 things before closing this tab:
1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsWhat the valuation says—and what it leaves unanswered
Mercor may earn value through several connected activities: matching experts to projects, coordinating human feedback, managing data-generation and review workflows, evaluating models, and providing enterprise infrastructure. The more of that work customers buy through its platform, the more opportunity there may be for recurring relationships and software-like services alongside labor coordination. The available reporting does not establish a universal fee or matching rate, so a single take rate should not be assumed.
For investors, the key distinction is between total customer spending routed through a marketplace and the revenue Mercor retains after paying contractors. A large payout figure signals activity, but it cannot establish revenue, margins, or profitability on its own. Mercor describes itself as profitable on its careers page; that is a company statement, not an independently verified financial disclosure.
- Growth quality: net revenue, repeat engagements, customer concentration, retention, and contractor utilization matter more than a network count alone.
- Margins: labor payouts and quality-control costs determine how much marketplace volume Mercor keeps.
- Durability: AI labs may bring expert work in-house, and competitors can recruit from overlapping professional pools.
- Operational exposure: handling customer and contractor information creates privacy, confidentiality, and cybersecurity obligations.
- Liquidity: a private round price is not a guaranteed exit price for shareholders or workers.
Separate security issue and possible $20 billion financing
Mercor disclosed a March 2026 security incident involving a supply-chain attack connected to the open-source tool LiteLLM. Mercor published an update about the incident. In April, TechCrunch reported that a hacker group claimed to possess roughly four terabytes of data, including candidate profiles, personally identifiable information, employer data, source code, and API keys; the report said the authenticity and scope of that claimed data had not been independently established. TechCrunch’s account describes the claim and its uncertainty.
That security incident is separate from Scale AI’s 2025 allegations about confidential business documents. One concerns a reported attack involving Mercor’s systems; the other was a trade-secret lawsuit that Scale later dismissed. Neither should be used as proof of the other.
As of August 18, 2026, the last clearly documented completed financing valuation identified was $10 billion. TechCrunch reported on July 9, 2026, that Mercor was in talks for a possible financing at roughly $20 billion, but the report described discussions, not a completed round. The reported fundraising talks may indicate a higher private-market expectation, but they do not replace the last completed financing figure.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
