Micro1, a startup that helps technology companies raise and manage human contractors for data labeling and training, has secured $35 million in Series A funding. The round was led by an advisor from 01, co-founded by former Twitter executives Dick Costolo and Adam Bain. This round values the company at $500 million.
Bane also joined the board with Joshua Browder of Donotpay, showing strong confidence in the future of the startup.
Funds come when we need to fill gaps in the data market. Once an uncontroversial leader, Scale AI recently saw major clients walk away after Meta's $14 billion investment and the employment of Scale CEOs. As major labs like Openai and Google are looking for alternatives, companies like Micro1 are stepping up to provide safe, professional services.
Meet Zara, a startup AI recruiter
Leaded by 24-year-old founder and CEO Ali Ansari, Micro1 brings together highly skilled human contractors and technology companies to provide data labeling, training and development support for advanced AI models. Unlike traditional providers that rely on a low-cost workforce, MICRO1 uses recruiter tool “Zara” with engineers, doctors, professors and other experts to ensure high quality, domain-specific data services.
The system interviews applicants with a veterinarian before boarding as an expert. Thousands have already joined, and more are added each week. This model allows AI Labs to access a professional curation talent pool, allowing experts to provide expertise in advances in machine learning models.
Micro1 reported $50 million in annual recurring revenues in 2025, a sharp rise from just $7 million at the time when it first started. While still smaller than competitors like Mercor and Surge, rapid adoption by AI labs, including Micro1's Fortune 100 companies and Microsoft, suggests that it carries out a critical niche.
A competitive landscape
The demand for training data shows no signs of slowing down. There is no single company that controls the entire market, as multiple providers serve the same lab. With Micro1, this offers a major opportunity to expand alongside rivals and positions itself as an option for professionally driven data solutions.
Micro1's competitors include:
undulation: Surge is one of the biggest players in the AI data services market. We specialize in providing large networks of contractors. That scale allows you to serve the largest clients in speed and volume. However, there is arguing that it may focus on the scale of specialization. It may limit the quality of a particular domain.
Melkor: Melkor has established itself as a strong middle market competitor. Connect AI companies with a global talent pool to balance cost-effectiveness and quality. Known for its vast network of contractors, Mercor is the go-to provider for consistent, scalable data labeling. While successful, we face increasing competition with startups like Micro1, which emphasize domain-specific expertise.
Scale AI: Scale AI has pioneered the concept of quickly becoming an industry leader, using a large network of low-cost contractors for data labeling. The company attracted a large investment, but the move created tension with other AI labs. Concerns over a potential conflict of interest have led to companies like Openai and Google calling for alternatives. Despite the challenges, scale AI remains a dominant force with deep industry relations.
What's next?
Beyond data labeling, Micro1 is preparing for the next evolution in the market, the environment. These virtual workspaces allow AI agents to practice simulated tasks and provide a richer and scalable training experience. The company sees this as a key driver for the natural expansion and long-term growth of Micro1's mission.
