Lyzr AI raises $14.5M to expand on-prem enterprise AI agents
Lyzr AI, a startup building infrastructure for enterprise AI agents that run inside a company’s own systems, has raised $14.5 million in a Series A+ funding round led by Accenture. The investment values the company at $250 million, according to a company statement, as more organizations seek ways to adopt AI without pushing sensitive data to large cloud platforms.
The round also included participation from Rocketship VC. Bloomberg reported the financing marks a fivefold increase in valuation since October, underscoring growing investor interest in tools that let enterprises deploy AI with tighter control over data, governance, and compliance.
Expansion plans and rapid growth
Lyzr AI said it will use the new capital to expand into the Middle East, the United Kingdom, and Australia. Bloomberg also reported the company’s revenue has grown by more than 300% in each of the past two quarters, and that it expects to reach profitability as early as April.
The company has roughly 130 employees, with most of its engineering organization based in Bangalore, India. The majority of the startup’s engineers and two co-founders are located there as well.
Building AI agents inside enterprise systems
Founded in 2023, Lyzr AI provides software that helps companies build, manage, and govern multiple AI agents while keeping data within internal infrastructure. Founder and CEO Siva Surendira said organizations are becoming more cautious about how their data is used, driving demand for on-prem and private deployments.
Unlike traditional chatbots, AI agents are designed to reason, make decisions, and take actions such as research, analysis, and workflow automation. Lyzr AI also promotes a multi-agent approach, where several agents evaluate the same prompt and compare outputs before selecting a best response—an architecture aimed at improving accuracy and reliability.
The platform has drawn interest from regulated sectors including financial services, healthcare, energy, and insurance, and has been used by consulting firms such as Accenture, Deloitte, and KPMG to build custom AI agent systems for clients.
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