How FireAI is bringing real-time conversational intelligence to enterprise operations
Mumbai-based FireAI converts operational data from ERPs, CRMs, and POS systems into real-time, conversational insights for 157 customers globally.
When Vipul Prakash observed a large enterprise struggling to produce a simple weekly performance report, the inefficiency struck him immediately. Teams were exporting data from multiple systems, reconciling spreadsheets, correcting inconsistencies, and re-verifying figures, only to deliver the report late.
“That moment revealed a deeper truth,” Vipul recalls. “It wasn’t the absence of technology that slowed decisions; it was the delay in insight. Information loses its value the moment it becomes historical. You can have all the data in the world, but if clarity doesn’t reach the people who need it, decisions slow down, accountability suffers, and organisations operate behind reality rather than ahead of it,” Prakash tells YourStory.
This realisation became the foundation for FireAI.
Founded in 2023 by Vipul Prakash, the Mumbai-based startup is focused on solving a critical challenge facing modern businesses—the growing gap between data availability and real-time decision-making.
The problem it solves
Across India, businesses increasingly rely on Enterprise Resource Planning (ERP) systems, Customer Relationship Management (CRM) platforms, Point of Sale (POS) systems, warehouse tools, and spreadsheets. These systems hold vast amounts of operational data, yet in many organisations, people closest to day-to-day operations often receive information too late to act effectively.
FireAI bridges this gap by integrating with existing systems. The platform transforms fragmented operational data into clear, conversational answers, allowing users to ask questions such as “What happened yesterday?”, “Why did margins drop?”, or “Which region underperformed?”, and receive immediate, actionable insights in natural language.
To ensure widespread adoption across India’s diverse workforce, the platform supports English, Hindi, and multiple regional languages.
“The traditional approach assumes that intelligence has to be structured, formatted, and interpreted. We flipped that assumption: intelligence should meet people where they are, in the language and context they understand, at the exact moment a decision needs to be made,” Prakash explains.
The journey and perspective
Prakash, an Electrical and Electronics Engineering graduate from SRM University, began his career in polymer manufacturing before moving into distribution and operational roles. He later led major product launches at Zomato, drove hyperlocal expansion at Delhivery, and held leadership positions across fintech, pharmaceuticals, and Software-as-a-Service (SaaS) ventures, including as Vice President of Growth at a Reliance-backed platform.
Being a part of his family’s pharmaceutical business exposed him to recurring operational blind spots. “Across industries, I saw the same pattern: teams had access to data but could not translate it into timely action. That gap was universal, from logistics and manufacturing to retail and distribution. FireAI is built to ensure that intelligence reaches the point of action, not just the boardroom,” he says.
Team, research, and early insights
FireAI’s 34-member team spent extensive time embedded in manufacturing units, retail networks, distribution hubs, and control rooms to observe how information actually flows in organisations.
Two insights stood out during FireAI’s research: teams closest to day-to-day operations often received visibility last, and reporting consumed far more effort than necessary, not because data was unavailable, but because organisational structures and existing tools were not designed to deliver information with immediacy.
“In many organisations, visibility is treated as a privilege, reserved for senior management. Micro, Small, and Medium Enterprises (MSMEs) face this challenge even more sharply. The tools available are either too complex or inaccessible. Intelligence has to be conversational, immediate, and intuitive,” Prakash elaborates.
Turning data into instant answers
FireAI combines natural-language analytics, automated Structured Query Language (SQL) parsing, anomaly detection, causal reasoning, and real-time deviation alerts to provide actionable insights. For organisations with strict privacy requirements, the system can operate fully on-premise.
“At Rs 0.12 per query, our goal is to make enterprise-grade intelligence affordable and accessible. Every person in the organisation, regardless of role, should be able to ask a question and receive clarity instantly,” he says.
Recognising that decisions rarely happen at a desk, FireAI launched the Mobile Decision Intelligence application. The Android version is live, with iOS following soon, supported by a Rs 16 crore investment in mobile optimisation, security, and global rollout.
“Operational decisions rarely wait for scheduled reports or dashboards. If clarity doesn’t arrive at the moment a problem emerges, it loses its relevance. Mobile-first intelligence is not optional, it is essential,” he notes.
FireAI is also developing a predictive intelligence layer capable of computing backwards from forward-looking questions.
“Forecasts cannot be static. They must adapt to the moment, leveraging real-time operational context. Our predictive layer will let teams ask forward-looking questions and receive actionable answers instantly,” he says.
Growth, customers, and market reach
FireAI began commercial operations in May 2025 and now serves 157 customers across India, the United Arab Emirates (UAE), and Africa. The platform has an Average Contract Value (ACV) of Rs 5 crore, targeting Rs 15 crore by the next fiscal year.
The startup forecasts revenue of approximately Rs 12 crore from India and Rs 20 crore from international markets over the next few years, with expansion plans in Canada. FireAI is also preparing a self-serve onboarding model to scale adoption.
Funding to date includes Rs 6.2 crore in pre-seed and seed rounds, alongside an initial Rs 1 crore founder investment. The startup is in discussions with global investors, including G42 in Dubai and funds in Egypt.
Competition and way ahead
The global Business Intelligence market, valued at $33.3 billion in 2024, is expected to grow steadily over the next decade. FireAI’s long-term vision is to eliminate operational blind spots entirely.
“Insight should not be delayed, scheduled, or reserved for a specific role. When clarity becomes immediate and natural, organisations operate differently. Decisions are faster, accountability improves, and strategy aligns with reality. That is the future FireAI is building toward,” he explains.
FireAI competes with traditional BI platforms such as Tableau, Power BI, and Looker, as well as emerging AI-driven analytics tools like Zyte, Humata AI, and ClearBrain.
“Traditional BI tools are often designed for dashboards, technical users, or scheduled reporting. FireAI delivers intelligence conversationally, in real time, at the point of decision, and in languages people actually speak. That is a fundamental shift in how organisations interact with data,” Prakash concludes.