Deccan AI's funding for advanced AI model training.
AI infrastructure startup Deccan AI has raised $25 million in a funding round led by A91 Partners, with participation from Susquehanna and existing investor Prosus Ventures. The funding, equivalent to approximately ₹235 crore, will be used to scale post-training data capabilities, invest in research and development, and build enterprise-grade infrastructure.
Founded in 2023 by Rukesh Reddy, Deccan AI focuses on post-training and production layers for AI models. The company’s offerings include tools for training, evaluating, and deploying AI models, targeting mid- and post-training solutions across agentic, coding, functional streams, and robotics domains. Deccan AI’s product suite includes STARK RL envs, Helix evals, and EnterpriseOS agents.
STARK RL envs provides a training environment for AI agents, mirroring enterprise workflows and failure scenarios to offer a reinforcement learning (RL) environment. This allows AI agents to learn from mistakes in a controlled setting before deployment in real-world business activities. Helix evals is a data generating tool designed to build and manage high-quality data for training AI models. EnterpriseOS Agents enables enterprise clients to build, deploy, and manage AI models integrated into live operational workflows.
Deccan AI’s client roster includes Google and Snowflake. The company’s focus on improving AI model accuracy aligns with the increasing demand for reliable AI solutions, attracting investor interest in startups addressing AI testing and accuracy challenges. This funding round underscores the growing importance of AI infrastructure and the demand for solutions that enhance the performance and reliability of AI models in enterprise settings.
Other companies in the AI testing space have also garnered significant investment. MOZARK, an enterprise tech startup providing AI-led tools for digital product testing, recently raised $40 million to strengthen real-world testing capabilities. Similarly, Drizz, a testing automation startup, secured $2.7 million in a seed funding round to advance its Vision AI engine. These investments reflect a broader trend of increasing capital flowing into companies focused on enhancing AI accuracy and reliability.
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