Deccan AI announced it has raised $25 million in funding to advance its focus on building highly accurate artificial intelligence systems, positioning itself in contrast to the broader industry emphasis on “superintelligence.” The round was led by A91 Partners, with participation from Susquehanna and existing investor Prosus Ventures.
The company plans to use the new capital to invest in foundational challenges across the AI model stack, with a particular emphasis on post-training data, enterprise applications, and robotics. Deccan AI has experienced rapid growth, reporting a 10x increase over the past year, and currently works with leading frontier labs and enterprises, including a majority of the “Magnificent 7.”
Deccan AI operates across multiple modalities, including agentic systems, code generation, and physical-world applications. Its offerings for AI labs include a full post-training stack comprising expert human feedback, evaluation systems, and reinforcement learning environments designed to prepare models for high-stakes deployment. For enterprises, the company provides a hybrid human and automated evaluation suite called Helix, along with an operations automation platform known as EnterpriseOS, both aimed at transforming experimental AI pilots into scalable production workflows.
These systems are powered by Deccan AI’s reinforcement learning environments and supported by a global network of more than 1 million domain experts. The company describes its platform as a critical infrastructure layer enabling reliable and trustworthy AI deployment at scale.
Headquartered in Mountain View, California, Deccan AI positions itself as a generative AI data company focused on the post-training and production lifecycle. Its platform spans expert feedback systems, managed AI workforces, and monitoring tools, helping organizations build, deploy, and scale AI agents designed for real-world accuracy and reliability.
KEY QUOTES:
“We’ve reached a tipping point where the industry is moving past the ‘chatbot’ phase. Getting an agent to work in a demo is one thing; getting it to handle high–stakes business logic is another. This funding allows us to scale post–training data, invest in cutting-edge research, and build enterprise-grade infra.”
Rukesh Reddy, Founder, Deccan AI
“Deccan is building the essential infrastructure for the next decade of software. As the world moves from experimentation to execution, the need for Deccan’s evaluation and monitoring layer becomes non-negotiable. They are making it safe for consumers and enterprises to actually trust AI.”
Kaushik Anand, Partner, A91 Partners
