➤ Unbound, generative AI startup in India secures $4 million seed funding led by Race Capital to scale generative AI safety tools for enterprises.
➤ The startup plans to expand its AI operations in India, focusing on model orchestration, system connectivity, and enterprise adoption of open-source LLMs.
➤ Founded in 2023, Unbound helps IT and security teams safely manage AI use across apps like Cursor and Roo, already protecting sensitive data at scale.
With Race Capital leading the charge, as well as help from Wayfinder Ventures, Y Combinator, Massive Tech Ventures and several angel investors, Unbound, a leading AI data protection startup has closed$4 million seed investments to support their Generative AI use in enterprises.
Unbound will invest the funds in India by hiring people and scaling up, enhancing AI system connectivity, upgrading model routing and helping businesses adopt open-source LLMs through internal model orchestration, it said in a press release.
In 2023, Rajaram Srinivasan and Vignesh Subbiah started Unbound to help IT and security teams maintain their oversight responsibilities. With the startup, you can monitor exactly how the app is being used, manage sensitive data and confirm that policy decisions comply with your organization’s rules. With Unbound, using AI in enterprises is safer, clearer and easier to oversee.
In the opinion of Unbound, it helps IT teams manage and integrate AI governance and compliance safely in their enterprise. This service plugs into frequently used applications such as Cursor, Roo, Cline and even copilots, giving instant protection, model routing and information on how the models are utilized.
Unbound is used by a steadily increasing number of mid-market and enterprise businesses in both tech and healthcare, according to the company. Just last week, one of its customers made the move to use Gemini 2.5 in production AI tools for over a hundred engineers.
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Within its operation, Unbound has blocked the release of hundreds of passwords, dozens of API keys and many connection strings, as well as 500 instances of details such as customer names, phone numbers and patient records.
In addition, Broadcom’s Symantec DLP, Palo Alto Networks, Netskope and GenAI startups like Lasso and Aim Security share the market.
