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Cybersecurity startup Satark AI raises Pre-seed funding at $4 M valuation

Through convertible notes from angel investors, cybersecurity startup Satark AI has raised an undisclosed sum in a pre-seed funding round with a $4 million valuation cap.

In October of last year, the Ahmedabad-based startup had previously raised an undisclosed sum through convertible notes at a $3 million valuation cap from Infynno Solutions in the same round.

According to a press release from Satark AI, the money raised will be utilized to conduct structured pilots with enterprise-grade and growth-stage businesses, confirming the platform’s influence on security operations and executive decision-making.

Satark AI, an intelligent decision layer for enterprise cyber risk, was founded in June 2025 by Rutvij Vora, Hitaishu Vora, and Kaivashin Sethna. By integrating with current security tools, the platform can remove up to 70% of alert noise and transform fragmented signals into context-driven business risk decisions, providing leadership teams, developers, analysts, and CISOs with the clarity to take action.

According to the company, it reduces up to 70% of security noise and condenses over 10,000 fragmented alerts into five to ten context-driven business risk decisions by integrating with an organization’s current security stack, which includes SIEM, XDR, EDR, IAM, WAF, SOAR, CSPM, and more. The platform seeks to give clarity and useful insights to all parties involved, including the board and developers.

“The market is not short of security tools. What enterprises lack is intelligence that connects the dots and speaks directly to business risk. That is what Satark AI does and we are building it from India for the world,” said Rutvij Vora, co-founder and CEO of Satark AI.

Satark AI provides specialized value for a variety of roles, such as clear prioritization for analysts, real-time risk visibility for CISOs, actionable advice for developers, and business impact insights for leadership to support budgeting and security decisions.

 

 

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