As companies adopt artificial intelligence more widely, many are becoming cautious about sending sensitive data to large cloud platforms. This concern is driving demand for tools that allow businesses to build and run AI systems within their own infrastructure.
Startup Lyzr AI, which develops infrastructure for enterprise AI agents, has raised $14.5 million in a new funding round led by Accenture Plc. The investment increased the company’s valuation to $250 million, according to the company’s statement.
The Series A+ round also included participation from Rocketship VC. According to Bloomberg, the latest funding represents a fivefold increase in Lyzr’s valuation since October. The startup plans to use the new funding to expand into the Middle East, the United Kingdom and Australia.
According to Bloomberg, Lyzr’s revenue has grown by more than 300% in each of the past two quarters, and the company expects to reach profitability as early as April.
The company currently has about 130 employees, with most of its engineering team based in Bangalore, India. Surendira’s two co-founders and the majority of the startup’s engineers are also located there.
As companies experiment with AI agents to automate tasks and decision-making, platforms like Lyzr are positioning themselves as the infrastructure layer that enterprises can control internally while deploying AI at scale.
Building AI agents inside company systems
Founded in 2023, Lyzr provides software that enables companies to build AI agents while keeping their data within their own systems, rather than sending it to external cloud providers.
Founder and CEO Siva Surendira said many organisations are becoming more careful about how their data is used.
The company’s platform allows businesses to create, manage and govern multiple AI agents that can perform tasks on behalf of employees. Unlike traditional chatbots that generate text responses, AI agents are designed to reason, make decisions and carry out actions such as research, analysis or workflow automation.
Multi-agent system for accuracy
Lyzr’s system uses multiple AI agents simultaneously rather than relying on a single model. Several agents analyse the same prompt simultaneously and then compare their responses before selecting the best result. This approach is designed to improve accuracy and reliability.
The model has attracted interest from sectors such as financial services, healthcare, energy and insurance, where accuracy and auditability are critical.
Consulting firms, including Accenture, Deloitte and KPMG, have used Lyzr’s platform to build custom AI agent systems for their clients.
