Causal decision intelligence platform FireAI has raised Rs 2.5 crore from SucSEED Indovation Fund. Prior to this, the Mumbai-based startup had raised a total of Rs 6.2 crore (around $800K) from several venture capital firms, including Inflection Point Ventures, Venture Catalysts, and SucSEED Indovation Fund in January this year. The fresh funds will be used to expand its enterprise sales team, support regional expansion, strengthen research and development, and meet administrative expenses, FireAI said in a press release. Founded in 2024 by Vipul Prakash, FireAI is a causal decision intelligence platform that helps enterprises move beyond descriptive dashboards to real-time, explainable insights. Built for enterprise-scale deployments, the platform supports more than 90 languages and integrates with existing enterprise systems to deliver traceable insights to decision-makers. According to the company, FireAI helps businesses derive actionable insights from data for strategic decision-making. Its clients include IRCTC, Plum, Dana Choga, Living Liquidz, Government e-Marketplace, and Noise. The platform uses anomaly detection, causal chain analysis, and a natural language interface to enable business leaders to access explainable insights through conversational analytics. By integrating with existing enterprise systems, it aims to provide traceable and actionable decision intelligence. FireAI said it recorded82% quarter-on-quarter growth in realized revenueand a520% quarter-on-quarter increase in total contract valueover recent quarters. According to the company, this growth was driven by an expanding client base across the logistics, banking, government, and consumer brands sectors. Bareback Media has recently raised funding from a group of investors. Some of the investors may directly or indirectly be involved in a competing business or might be associated with other companies we might write about. This shall, however, not influence our reporting or coverage in any manner whatsoever. You may find a list of our investorshere.
