Funding · Enterprise Software & IT

Fire AI raises seed funding for SME analytics

By Startup Enthusiast · 10 January 2026

What they do

Fire AI builds AI-powered reporting and analytics tools for small and medium enterprises

It raised an undisclosed seed round led by Inflection Point Ventures, Venture Catalyst, and SucSeed Indovation

The founder previously worked at Bharat Pe and Zomato, where he saw SMEs struggle with data insights

Fire AI founder Vipul Prakash discussed his entrepreneurial journey and the company's mission.
The company makes AI-driven reporting and analytics accessible to small and medium enterprises (SMEs).
Fire AI raised a seed funding round led by Inflection Point Ventures, Venture Catalyst, and SucSeed Indovation.
The inspiration came from Prakash's experience at Bharat Pe and Zomato, where he saw SMEs struggle to extract insights from data.
Customer feedback plays a critical role in shaping Fire AI's product roadmap.
Prakash noted that raising capital requires alignment between growth objectives and investor expectations.
Fire AI sees actionable data insights as a major growth opportunity, especially in enterprise analytics.

Fire AI aims to bridge the gap for SMEs lacking data-driven decision-making tools.
It provides simple, user-friendly AI insights to turn raw data into strategic decisions.
Prakash advises entrepreneurs to use AI as a foundational tool focused on solving concrete customer problems.

Fire AI develops AI-powered reporting and analytics tools for small and medium-sized enterprises (SMEs).
The company aims to make data-driven decision-making accessible to SMEs that currently lack such tools.
It provides simple, user-friendly AI insights that turn raw data into strategic insights.
Customer feedback is critical in shaping the product roadmap, with iteration based on real-world usage.
Fire AI sees actionable data insights as a major growth opportunity, especially in enterprise analytics.

Fire AI sees actionable data insights as a major growth opportunity, especially in enterprise analytics.
Global expansion is a potential future step, but challenges include regulatory differences, business culture, and customer behavior.