Monday, October 12, 2026

AI & Models

AI data-labeling startup Micro1 hits $500M gross run rate

Micro1, a four-year-old AI training-data startup, grew its gross annual run rate from $100 million to $500 million in eight months, a person familiar with the company said.

A group of six smiling team members sitting together on a boat wearing matching black Micro1 jackets at sunset.
Photo: Micro1

Like its peers, which hire domain experts such as doctors, lawyers, and scientists on a contract basis, Micro1 retains roughly 60% to 70% of that gross figure, putting its net annual run rate between $150 million and $200 million, the person said. That still trails competitors Mercor, which hit $2 billion in gross annualized revenue this summer, and Handshake, which reached $1 billion earlier this year — but Micro1’s growth suggests there’s enough demand to support multiple players in the category, a trend some researchers expect to continue as AI spending on data starts to rival spending on compute.

Micro1 is increasingly generating synthetic data without human involvement, such as automated descriptions of video content, and some of that data is sold to multiple customers — an “off-the-shelf” model a person familiar with the startup’s finances said drives gross margins as high as 80% to 90%. Selling the same datasets to multiple clients has drawn criticism from those who argue that distributing off-the-shelf data to Chinese AI developers helps make their models more competitive with top U.S. models. Micro1 founder Ali Ansari said last month on X that, unlike some competitors, his startup doesn’t sell data to Chinese model makers, adding: “Some human data companies work with foreign adversaries. And the results show today in Kimi K3. We believe it’s shameful to claim American AI dominance desires while selling millions worth of data to countries that we are in adversarial competition with.”

Like rival Mercor, Micro1 began as an AI recruiting startup before Ansari noticed data-labeling clients were using its platform to vet and recruit engineers for annotation work, prompting a pivot into data labeling itself. Ansari has also said the company is building a robotics pre-training dataset by having generalists record everyday object interactions in their homes. Micro1 raised a Series A at a $500 million valuation last September, and TechCrunch understands the startup may have recently raised another round at a significantly higher valuation. Micro1 didn’t respond to a request for comment.

Why it matters

A tenfold jump in gross run rate in eight months, even trailing bigger rivals, shows how much capital is now flowing into the unglamorous work of labeling and generating the data that trains frontier AI models.