Analysis · Enterprise Software & IT
FireAI builds decision intelligence for enterprises
By Startup Enthusiast ·
- 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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