Matters.AI Raises ₹42 Crore to Expand Its AI-Native Data Security Platform

Bengaluru-based startup Matters.AI has announced a significant seed funding round of ₹55 crore (approximately US $6.2 million), co-led by Kalaari Capital and Endiya Partners. This capital injection is earmarked to roll out a new class of cybersecurity system-termed the AI Security Engineer-that proactively predicts and responds to data security risks across cloud, SaaS, on-premise, and endpoint environments.

What the Funding Round Involves

  • The total ₹55 crore seed round includes an earlier ₹13 crore pre-seed round (led by Better Capital and Carya Venture Partners) and the current ₹42 crore seed portion.
  • Investors include Better Capital, Carya Venture Partners, and other cybersecurity-focused angel backers.
  • Funds will be used to ramp up R&D in predictive detection technologies, grow go-to-market operations in India and the U.S., and build up engineering and customer-success teams targeting regulated sectors under the new Digital Personal Data Protection Act (DPDP) framework.

The “AI Security Engineer”: What It Means

Unlike traditional security tools that mostly monitor, alert, or log events, Matters.AI’s flagship system is designed to:

  • Understand how sensitive data behaves (context, movement, interaction)
  • Predict misuse before it happens
  • Respond autonomously across cloud, SaaS, endpoint and on-premise environments
  • Employ semantic graphs and predictive models to reason about intent and threat-scenarios rather than just react to incidents

The startup describes the system as “the AI Security Engineer that never sleeps.”

Features & Capabilities in Brief

  • Full-Stack Visibility – Real-time data tracing of endpoints, services, and flows.
  • Data Lineage & Fingerprinting – Tracks how data moves and why, enabling richer context for threat detection.
  • Hybrid Deployment – Supports SaaS, cloud, on-premise environments, recognising that many organisations are hybrid.
  • GenAI Governance – Includes oversight over tools like ChatGPT, Gemini and Copilot to ensure AI usage is secure and compliant.
  • Integrations – Native integrations with platforms such as Snowflake, Salesforce, Databricks, Zoho, and cloud-providers (AWS, Azure, GCP).

Why This Matters Now

  • As the DPDP Act comes into force, organisations face heightened regulatory demands to monitor and protect personal data in real-time. Matters.AI positions itself to meet these needs.
  • Security teams report that more than 90% of sensitive data remains invisible to them – creating blind spots and leaving organisations exposed. Matters.AI seeks to fill that gap.
  • With broader AI adoption, cloud migration, SaaS proliferation and hybrid infrastructure becoming standard, legacy data-security tools (DLP, DSPM, insider-risk systems) are increasingly unable to keep pace. A unified, intelligent layer is therefore timely.

Founders & Investor Insights

  • Keshava Murthy, CEO & Co-Founder: “India has built rockets, payments, and software for the world; now we’re building to protect it. The world doesn’t need another dashboard screaming alerts; it needs a system that can think.”
  • Harsh Sahu, CTO & Co-Founder: “Our system ‘reasons’ like a human engineer, learning from how people and data interact, predicting misuse, and responding autonomously.”
  • Dhiraj Khare, Chief Revenue Officer: “CISOs want clarity, not chaos. Matters.AI connects every data layer – endpoint, cloud, SaaS, Gen AI, on-prem – into one control plane where visibility meets action.”
  • Investor Commentary:
    • From Endiya Partners: “Security teams tell us their biggest gap is between visibility and enforcement. Matters unifies discovery, lineage and intent-aware controls into a single policy plane… while cutting alert noise.”
    • From Kalaari Capital: “As privacy regulations tighten worldwide and AI adoption accelerates, enterprises face an urgent need for intelligent, autonomous data protection… Matters.AI is building the control layer for this new reality.”

What’s Next for Matters.AI

With the new funding, Matters.AI plans to:

  • Accelerate R&D, especially in predictive detection and behaviour-based models.
  • Expand go-to-market operations and customer success for regulated industries (financial services, healthcare, government) in India and the U.S.
  • Scale up engineering, product and customer-engagement teams to support growth in regulated sectors and global customers.

Final Word:

Matters.AI’s ₹55 crore raise signals a strong vote of confidence in India’s indigenous cybersecurity innovation and the growing demand for AI-native, autonomous data-security systems. In a world where data breaches, AI misuse and regulatory scrutiny are rising simultaneously, having a system that thinks, adapts and acts could give enterprises a much‐needed edge.

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