The Intelligence OS
for modern enterprises.
Rubicr connects your operational and financial data, reasons with industry-specific AI, and triggers decisions inside the systems you already run. Not a dashboard — an operating system for enterprise decisions.
Lost annually due to poor data and fragmented systems
IDC, 2025
Enterprise data used for decisions
IBM, 2025
Disconnected Systems
ERP, IoT, SCADA, and financial systems were built to store transactions — not to share intelligence. Data exists everywhere; insight exists nowhere.
Enterprise AI projects fail
due to poor industry context
Generic AI Fails
A generic model cannot reason about the relationship between a refinery's asset degradation, its energy costs, and its credit exposure. Context is not optional.
Enterprise data systems connected
to a single intelligence point
Costly Blind Spots
The data relationships are fundamentally different from a bank to an auto manufacturer. This context must be encoded from operational ground truth — not guessed.
Cannot link operations to financial outcomes — growth bottlenecks and risks remain invisible until they hit the P&L.
Cannot price non-financial, physical, and transitional risk into portfolios.
Cannot connect performance to strategy — fragmented systems leave decision-making reactive and blind.
Not a dashboard. Not a data platform.
An operating system for enterprise decisions.
Three stages. One continuous intelligence loop.
Your Data
Every data source your enterprise already has
- PDF & OCR documents
- Excel & databases
- ERP & SCADA systems
- Voice, Vision & Video
- GeoSpatial & Web data
Domain Intelligence
Not a generic AI wrapper — built for your industry
- Industry-specific reasoning engine
- Automated data completion models
- Domain prediction models
- Regulatory constraint engine
- Financial risk logic
Action Triggers
Decisions inside your systems — not reports on a screen
- API triggers to ERP & CRM
- Automated workflow execution
- Real-time alert routing
- Compliance action generation
- Performance optimization signals
Why this cannot be replicated by adding a plugin to ChatGPT.
- Generic — no industry context
- Starts from zero for every client
- Trained on public data only
- Produces reports, not actions
- No regulatory or operational constraints
- Hallucination risk in critical decisions
Industry context takes years to encode
Rubicr's reasoning engine encodes the financial, operational, and regulatory logic specific to each industry. Built from operational ground truth, one sector at a time.
Data network effects compound with scale
Every enterprise deployment adds benchmarks, anomaly patterns, and performance norms. The more industries Rubicr serves, the more precisely it reasons for each one.
Workflow integration creates switching costs
Rubicr triggers actions inside ERP, CRM, and operational systems — not reports on a screen. Once enterprise workflows depend on Rubicr decisions, the platform becomes infrastructure.
Capability Comparison
Rubicr is the first productised enterprise intelligence architectureReal revenue. Real pipeline. Real ask.
Seed round accelerates what already has traction.
Revenue Forecast
200+ Enterprise Relationships
$2.4M Seed Round — SAFE
Series-A expected within 18–24 months for global expansion into financial intelligence.
Discount Tiers
Fund Utilization
Why we will win
"We thought we were solving sustainability. We were actually learning how broken enterprise data is at its core."
— Rajashri Sai, Founder & CEO
Exit Comparables
The Team
Rajashri Sai
Founder & CEO
13 years building data platforms across GE, HSBC, UNICEF & the Gates Foundation.
- IIM Kozhikode
- Co-Founder Zuppa Drones (Series B)
- Top 50 Women Innovators — WEF
Vivek Shankaranarayanan
Co-Founder & CPO
15 years as Head of Site Technology at Reliance Industries — industrial context powering the domain reasoning engine.
- London Business School MBA
- ASQ Six Sigma Black Belt
- Reliance Industries — Head of Site Technology
Ramki Ramakrishnan
Co-Founder & CRO
25 years of banking and enterprise experience. Board advisor to multiple fintech companies across Europe & Asia.
- London Business School MBA
- Temenos MD Asia Pacific (24 years)
- Deep relationships across India, MENA & SE Asia
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