Micro1 has reached a $500 million gross run rate as demand for unique AI training data surges among top laboratories and corporations.
The four-year-old startup grew its annualised revenue from $100 million to that figure over the last eight months, according to a source familiar with the business. Like peers that hire domain experts such as doctors, lawyers and scientists on contracts, Micro1 retains roughly 60% to 70% of that total. Its net annual run rate sits between $150 million and $200 million.
While Micro1 trails competitors like Mercor, which hit $2 billion in gross annualised revenue this summer, and Handshake, which reached $1 billion earlier this year, the revenue growth indicates sufficient demand to support multiple players supplying AI training data.
That expansion is likely to continue, with some researchers hypothesising that future AI spending on data could rival spending on compute.
That outlook benefits Micro1, which is seeing contract sizes grow at an accelerating pace and expects margins to expand over time. The startup increasingly generates synthetic data without human involvement, such as creating automated descriptions of video content. Additionally, some of the data it generates can be sold to multiple customers, driving gross margins for this off-the-shelf data as high as 80% to 90%, a person familiar with the startup’s finances told TechCrunch.
Selling the same datasets to multiple clients has sparked recent controversy, with critics arguing that distributing off-the-shelf data to Chinese AI developers helps make their models as powerful as top US models.
Micro1’s founder Ali Ansari said last month on X that unlike some competitors, the startup does not sell its data to Chinese model makers. Some human data companies work with foreign adversaries. 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 Mercor, Micro1 began as an AI recruiting startup. But after noticing that data-labeling clients were using his AI platform to vet and recruit engineers for annotation, Ansari decided to pivot and enter the data-labeling business, too.
Ansari previously told TechCrunch that in addition to having its experts evaluate model outputs, a concept known as reinforcement learning gyms, the company is building a robotics pre-training dataset by having hundreds of generalists record everyday object interactions in their homes.
Micro1 raised its Series A at a $500 million valuation last September, and TechCrunch understands that the startup may have recently raised another round at a significantly higher valuation.
Micro1 did not respond to a request for comment.
What it means
For the people making things, this shift means the bottleneck is no longer just finding human experts to label data. Companies can now sell pre-made datasets to many clients at once, which increases their profit margins. However, this creates a new pressure to avoid sending data to rival nations. Ansari’s refusal to sell to Chinese developers highlights that access to training material is becoming a geopolitical issue, not just a technical one.
