Data security startup Matters.AI has secured ₹55 crore in funding to advance its pioneering system called the AI Security Engineer — a self-learning platform designed to predict, prevent, and autonomously respond to data threats across Cloud, SaaS, Endpoints, and On-Prem environments.
The company’s technology brings together real-time data tracing, lineage mapping, and GenAI governance for tools such as ChatGPT, Gemini, and Copilot, along with native integrations for platforms including Zoho, Snowflake, Salesforce, AWS, Azure, GCP, and Databricks.
The fresh capital will be used to accelerate R&D in predictive detection, expand operations in India and the US, and strengthen teams catering to regulated industries under India’s Digital Personal Data Protection (DPDP) framework.
“India has built rockets, payments, and software for the world — now we’re building to protect it,” said Keshava Murthy, CEO & Co-Founder of Matters.AI. “The world doesn’t need another dashboard screaming alerts; it needs a system that can think. That’s Matters.AI — the AI Security Engineer that never sleeps.”
As AI adoption surges and privacy laws tighten, Matters.AI aims to serve as the control layer for intelligent, autonomous data protection — built in Bharat, trusted globally.
“Our system reasons like a human engineer — learning from how people and data interact, predicting misuse, and responding autonomously,” said Harsh Sahu, CTO & Co-Founder.
The ₹42 crore seed round was co-led by Kalaari Capital and Endiya Partners, with participation from Better Capital, Carya Venture Partners, and several prominent cybersecurity angels. The earlier ₹13 crore pre-seed round was led by Better Capital and Carya Venture Partners.
“Matters unifies discovery, lineage, and intent-aware controls into one policy plane so organizations can prevent data exfiltration while cutting alert noise,” said Sateesh Andra, Managing Director at Endiya Partners.
