FloBook AI
FloBook AI
“Every Dashboard Is Now a Conversation”
FloBook AI is the AI-native operating system for enterprise analytics — unifying data querying, analysis, visualization, and workflow automation in one collaborative workspace powered by natural language. By bringing SQL, Python, R, and no-code blocks into reactive notebooks that compile directly into interactive dashboards and apps, FloBook AI turns analytics from a tool into a conversation.
Enterprise leaders validating the need for AI-native, self-serve analytics
Across Enterprise Data Sources and Warehouses
The opportunity
Compounding annual growth · 5-year forecast
Worldwide market opportunity
Enterprise analytics is a $50B+ global market with 32% CAGR undergoing a shift from static dashboards to AI-native, conversational workflows. Yet 70%+ of business users still rely on analysts for routine decisions because existing BI tools are too technical and generic AI copilots fail on real enterprise data. The bottleneck is no longer data infrastructure, but trusted access to intelligence. As LLMs become reliable enough for production use, the opportunity is to build the AI-native analytics layer enterprises can deploy in days, not through months of consulting and dashboard engineering.
The brief
FloBook AI is the AI-native operating system for enterprise analytics, built to replace fragmented BI tools, static dashboards, and unreliable text-to-SQL copilots. Today, business teams struggle to access trustworthy insights because data lives across warehouses, notebooks, scripts, and dashboards that require technical expertise to navigate. Existing AI tools lack enterprise context, leading to hallucinated queries and unreliable outputs. FloBook AI unifies SQL, Python, R, and no-code workflows inside reactive notebooks that compile into interactive dashboards and internal apps. Powered by semantic context and natural language, FloBook enables every team member to query data, automate workflows, and generate trusted insights turning analytics from a bottleneck into a conversation.
The edge
Unlike traditional BI tools that stop at dashboards or generic AI copilots that hallucinate on enterprise data, FloBook AI combines governed analytics, reactive notebooks, and AI-native workflows in one collaborative surface.
Why now
Three structural shifts make this the right moment for FloBook AI. First, LLMs have finally crossed the reliability threshold required for production-grade analytics on enterprise data. Second, mid-market companies are rejecting expensive, consulting-heavy BI stacks in favor of self-serve AI-native workflows. Third, conversational interfaces are becoming the default user behavior. Business users now expect ChatGPT-like interaction, not static dashboards. Every prior wave of natural-language analytics failed because the models were not reliable enough. That constraint has now fundamentally changed.
The builder
Srijan Rastogi
Previously built and scaled a B2B product to ₹12L ARR within 4 months. Worked closely with data-heavy operational workflows through Planway Distributors, gaining first-hand insight into fragmented enterprise analytics and decision-making bottlenecks. Incubated at IIT Delhi Emergence eDC.