Deccan AI, a startup focused on training artificial intelligence models, has raised $25 million in fresh funding as it looks to scale its operations in the rapidly growing AI training market. The company is positioning itself as a competitor to platforms like Mercor, operating in a space that is becoming increasingly critical for the development of advanced AI systems.
A key differentiator for Deccan AI is its strategy of concentrating a large portion of its workforce in India. While many of its clients are U.S.-based AI labs, the company relies heavily on India-based experts to train and refine AI models. This approach, according to the company, allows for better quality control compared to competitors that source talent across multiple countries.
The AI training sector itself is highly fragmented and rapidly expanding, driven by the growing demand for high-quality data and human expertise to improve machine learning models. Deccan AI’s India-focused model reflects a broader industry trend, where companies are increasingly turning to the country as a hub for skilled, cost-effective talent in AI development.
The platform offers opportunities for domain experts to contribute to AI training tasks, with reported earnings ranging widely depending on expertise and complexity of work. According to company insights, contributors can earn between $10 and $700 per hour, with top performers making up to $7,000 per month.
However, the sector has also faced scrutiny over working conditions and compensation structures, as many AI training platforms rely on gig-based labor. Despite this, companies like Deccan AI continue to attract investment as demand for human-in-the-loop AI training grows alongside the expansion of generative AI technologies.
With this funding, Deccan AI aims to further scale its workforce, enhance quality control mechanisms, and strengthen its position in the global AI training ecosystem, where access to skilled human talent is becoming a critical competitive advantage.
