Micro1, a startup helping technology companies source and manage human contractors for data labelling and training, has secured $35 million in Series A funding. The round was led by 01 Advisors, co-founded by former Twitter executives Dick Costolo and Adam Bain. This round values the company at $500 million.
Bain will also join the board, alongside DoNotPay’s Joshua Browder, signaling strong confidence in the startup’s future.
The funding comes at a time when there is a need to fill the gap in the data market. Scale AI, once the undisputed leader, recently saw key clients walk away after Meta’s $14 billion investment and its hiring of Scale’s CEO. With major labs like OpenAI and Google seeking alternatives, companies such as Micro1 are stepping up, offering secure and specialised services.
Meet Zara, the startup’s AI recruiter
Led by 24-year-old founder and CEO Ali Ansari, Micro1 connects technology companies with highly skilled human contractors to provide data labelling, training, and development support for advanced AI models. Unlike traditional providers relying on low-cost labour, Micro1 uses its recruiter tool “Zara” to vet experts like engineers, doctors, and professors, ensuring high-quality, domain-specific data services.
The system vets and interviews applicants before onboarding them as experts. Thousands have already joined, with more being added weekly. This model helps AI labs access curated, specialised talent pools while enabling professionals to contribute their expertise to advancing machine learning models.
Micro1 reports $50 million in annual recurring revenue in 2025, up sharply from just $7 million at the year’s start. While still smaller than competitors like Mercor and Surge, Micro1’s rapid adoption by Fortune 100 firms and AI labs including Microsoft suggests it is carving out an important niche.
Competitive landscape
The demand for training data shows no signs of slowing. With multiple providers serving the same labs, no single company is likely to dominate the entire market. For Micro1, this presents a major opportunity to expand alongside its rivals while positioning itself as the go-to choice for expert-driven data solutions.
Here are the competitors of Micro1:
Surge: Surge is one of the largest players in the AI data services market. It specialises in supplying massive contractor networks to power training datasets for leading AI labs. Its scale allows it to serve the largest clients with speed and volume. However, there are claims that its focus on scale over specialisation may limit quality in certain domains.
Mercor: Mercor has established itself as a strong mid-market competitor. It connects AI companies with global talent pools, balancing cost efficiency and quality. Known for its vast contractor network, Mercor remains a go-to provider for consistent and scalable data labeling. While successful, it faces rising competition from startups like Micro1 that emphasise domain-specific expertise.
Scale AI: Scale AI pioneered the concept of using large networks of low-cost contractors for data labeling, quickly becoming the industry leader. The company attracted massive investment, but this move created tensions with other AI labs. Concerns over potential conflicts of interest led firms like OpenAI and Google to seek alternatives. Despite challenges, Scale AI remains a dominant force with deep industry relationships.
What’s next?
Looking beyond data labeling, Micro1 is preparing for the next evolution in the market: environments. These virtual workspaces allow AI agents to practice simulated tasks, offering richer and more scalable training experiences. The company sees this as a natural extension of Micro1’s mission and a key driver of its long-term growth.
