Adopt AI, a Silicon Valley and Bengaluru-based startup focusing on agentic Artificial Intelligence, has announced a seed funding round led by Elevation Capital, with additional participation from Foster Ventures, Powerhouse Ventures, Darkmode Ventures, and several angel investors. The exact amount raised was not disclosed. The company plans to use these funds to strengthen its Artificial Intelligence and engineering teams, accelerate technology development, and drive its go-to-market strategy as it emerges from stealth.
Founded by Deepak Anchala, Rahul Bhattacharya, and Anirudh Badam, Adopt AI provides a platform that enables businesses to integrate intelligent agent capabilities into their existing applications—a process that would otherwise require extensive internal investment and months of engineering effort. The startup’s flagship offering, Agent Builder, is a no-code tool designed to rapidly build, launch, and monitor agent-driven experiences for business applications by automatically learning workflows and generating required automation actions. This approach targets software-as-a-service (SaaS) providers and B2C enterprises in sectors such as banking and healthcare, where complex workflows are common.
Adopt AI’s 16-member team, split between the U.S. and India, encompasses Artificial Intelligence engineers in the U.S. and full-stack engineers, product managers, and designers in Bengaluru. Co-founder Deepak Anchala emphasized that agentic Artificial Intelligence represents the next major evolution after generative models, with applications moving closer to natural language capabilities and automated interactions. He also noted that while large technology firms such as Meta, Anthropic, and Microsoft are investing broadly in agentic Artificial Intelligence, Adopt AI is taking a specialized approach focused on enabling existing apps to become agentic rapidly. Looking ahead, industry experts and the Adopt AI team anticipate a future where most apps will need to incorporate agentic features to remain competitive, as user expectations shift toward applications that not only process natural language but can also carry out multi-step tasks autonomously across platforms.
