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Analysis · Enterprise Software & IT

FireAI builds decision intelligence for enterprises

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Date
Company
FireAI
What it does
Decision intelligence platform
Kind
Analysis
Founded
2024
Sector
Enterprise Software & IT

What they do

FireAI is a decision intelligence platform that explains why events happen and suggests actions

What happened

Founded in 2024, it started commercial sales in November 2025

Why it matters

It connects 700+ data sources without moving customer data, using a multi-agent AI architecture

The details

  • FireAI is a decision intelligence platform that explains why events happen and suggests actions.
  • The platform connects data across 700+ sources like ERPs, accounting software, CRMs, and cloud databases.
  • It creates a unified semantic layer without moving customer data outside the customer's infrastructure.
  • FireAI reads only schemas and table structures, then generates SQL queries directly against customer databases.
  • Its multi-agent architecture identifies tables, interprets ontology, maps schema relationships, and defines formulas before an LLM generates SQL.
  • The platform uses fine-tuned Llama 3.3 for text-to-SQL and is model-agnostic, allowing enterprises to integrate their own models.
  • Pricing is subscription-based (not usage-based token billing) plus an upfront integration fee.

The bigger picture

  • Customer examples show measurable impact: Plum improved net revenue realisation by ~12% and cut reporting time from >8 hours to <2 minutes.

About the business

  • FireAI is a decision intelligence platform that explains why events happen and suggests actions.
  • It connects data across 700+ sources including ERPs, accounting software, CRMs, cloud databases, and marketing platforms.
  • The platform creates a unified semantic layer without moving customer data outside the customer's infrastructure.
  • It reads only schemas and table structures, then generates SQL queries directly against customer databases for real-time analysis.
  • FireAI uses a multi-agent architecture: agents identify tables, interpret ontology, map schema relationships, define formulas, and assemble context before an LLM generates SQL.
  • It uses fine-tuned Llama 3.3 for text-to-SQL and is model-agnostic, allowing enterprises to integrate their own models.
  • Pricing is subscription-based (not usage-based token billing) plus an upfront integration fee.
  • Gross margins are ~80-85%.
  • It has 200 clients including MSMEs, Bata, IRCTC, and Central Warehousing Corporation (CWC).
  • Enterprises contribute ~60% of revenue, MSMEs ~40%.
  • Annual recurring revenue (ARR) is ₹9 Cr.

Founders

  • Vipul Prakash, Founder

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