Bangalore: Matters.AI, an AI-native data security company based in Bharat, has raised ₹55 crore to advance its development of an autonomous “AI Security Engineer,” a system designed to unify Data Security Posture Management (DSPM), Data Loss Prevention (DLP), Insider Risk, and Exfiltration Defense.
According to the announcement, the ₹42 crore seed round was co-led by Kalaari Capital and Endiya Partners, with participation from Better Capital, Carya Venture Partners, and several cybersecurity investors. The company had previously raised ₹13 crore in a pre-seed round led by Better Capital and Carya Venture Partners.
The new funding will support research and development in predictive detection, expansion into the Indian and U.S. markets, and the scaling of engineering and customer success teams focused on regulated industries under the Digital Personal Data Protection (DPDP) framework.
Matters.AI’s system is described as a self-learning intelligence layer capable of understanding data behavior, predicting misuse, and responding autonomously across cloud, SaaS, endpoint, and on-premises environments. The platform offers features including real-time data tracing, data lineage tracking, hybrid deployment options, GenAI governance, and integrations with enterprise platforms such as Zoho, Snowflake, Salesforce, AWS, Azure, GCP, and Databricks.
Co-founder and CEO Keshava Murthy said the company aims to build an autonomous security system that can “think” rather than simply alert. CTO Harsh Sahu added that the system “reasons like a human engineer,” while Chief Revenue Officer Dhiraj Khare highlighted its unified approach across multiple data environments.
Endiya Partners Managing Director Sateesh Andra said the platform addresses the gap between visibility and enforcement in enterprise security, while Kalaari Capital Partner Sampath noted its potential to support compliance amid growing privacy regulations and AI adoption.
