First-to-market AI agent platform for the ₹26 Lakh Cr MSME credit gap

Built to Prevent ₹50,000 Cr in MSME Loan Defaults Before They Happen

ChakraIQ uses autonomous AI agents to monitor 50+ data sources, predict defaults 3 weeks early, and engage borrowers before delinquency — reducing NPAs by 30%.

Validated on 50K+ Historical MSME Records • 94% Prediction Accuracy • 8+ Institutions in Pilot Discussions • ₹5,000+ Cr Pipeline

Why Now?

The Perfect Storm for MSME Credit Intelligence

Three converging forces create an unprecedented opportunity for Credit Chakra to capture the ₹26 Lakh Cr MSME lending market.

Market Timing

₹25.8 Lakh Crore ($310B) MSME Credit Gap

Traditional credit scoring fails 60% of MSMEs despite viable businesses. Banks lose ₹50,000 Cr annually to preventable defaults.

  • 60% of MSMEs rejected despite creditworthiness
  • ₹50,000 Cr annual NPA losses (preventable)
  • 4.0% industry NPA ratio vs 2.8% achievable
  • Manual processes miss 70% of early warning signals

Regulatory Catalyst

RBI Mandates Early Warning Systems by Dec 2025

Account Aggregator framework + SMA monitoring requirements create urgent compliance need for 1,500+ lenders.

  • RBI Early Warning System mandate (Dec 2025)
  • Account Aggregator framework live (50M+ consents)
  • SMA-0/1/2 classification requirements
  • ₹5,000+ Cr penalties for non-compliance

Technology Shift

First-to-Market with Autonomous AI Agents

ChakraIQ combines multi-rail data (GST, AA, UPI) with agentic AI for real-time risk scoring—validated at 94% accuracy.

  • ChakraIQ: Autonomous AI agent platform
  • 50+ data sources (GST, AA, UPI, behavioral)
  • 94% prediction accuracy (3-week early warning)
  • 2-week implementation vs 6-month traditional
Proprietary Technology

The ChakraIQ Advantage

Proprietary AI agent architecture that compounds competitive advantage over time— creating defensible moats through data, technology, and network effects.

01

Multi-Rail Data Integration

Proprietary connectors to 50+ data sources (GST, Account Aggregator, UPI, banking, behavioral) with custom normalization models built over 18 months.

18-month data integration moat
Competitors need 12-18 months to replicate connector network
50+ proprietary API connectors
Custom data normalization models
Real-time streaming architecture
Enterprise-grade security (SOC 2, ISO 27001)
02

Agentic AI Engine

Patent-pending autonomous AI agents that continuously monitor 50+ risk parameters, predict defaults 3 weeks early, and trigger interventions—no human oversight required.

12-month engineering lead
Agentic AI architecture requires specialized ML talent (6-12 months to build)
Autonomous agent architecture (patent-pending)
50+ risk parameters monitored 24/7
3-week early warning capability
Self-healing error correction
03

Self-Improving Intelligence

Data flywheel: Every MSME monitored improves model accuracy. Network effects compound as more lenders join, creating an insurmountable accuracy advantage.

Compounding accuracy advantage
First-mover data advantage creates 5-10% accuracy gap vs competitors
Data flywheel (accuracy improves with scale)
Network effects across lender ecosystem
95% accuracy target (currently 94%)
Continuous model retraining pipeline

ChakraIQ Technology Stack

Enterprise-grade architecture built for scale, security, and continuous improvement

🔌
Data Layer
50+ API Connectors
Processing
Real-time Streaming
🤖
AI Engine
Agentic Architecture
🧠
Intelligence
Self-Learning Models
🔒
Security
SOC 2 / ISO 27001
50+
Data Sources
50+
Risk Parameters
94%
Prediction Accuracy
3 weeks
Early Warning

Lending Impact DashboardEarly indicators from pilot institutions

Experience our intuitive dashboard that transforms complex financial data into actionable insights for smarter lending decisions. Validating multi-rail data integration and NPA reduction strategies across 3 pilot institutions.

Lending Impact Dashboard

Real-time business impact metrics

Live Data

Portfolio Health

72%
Improved
20%
Stable
8%
Declined
Portfolio Health Score
87/100
Target: >85
Early Intervention Success
82.0%
vs Baseline: 52%
Recovery Rate
68.0%
vs Industry Avg: 45%

Actionable Insights

High Priority127accounts

Prioritize high-risk accounts for immediate review

Medium Priority1,032accounts

Deploy nudges to accounts showing early warning signals

Portfolio Impact Metrics

Pilot results across 3 institutions

30%
NPA
20%
Risk
40%
Cost
90%
Processing
↓ 30%
2.8%
NPA Ratio
Pilot results vs Industry Avg 4.0% (RBI, Mar 2024)
↑ 20%
3 weeks
Risk Detection Speed
Identify potential defaults 3 weeks earlier
↑ 10x
900%
Processing Speed
Faster automated risk assessment
↓ 40%
40%
Cost Savings
Early indicators: Improved collection efficiency, reduced fraud detection
Competitive Moats

Why Credit Chakra Will Win

Four defensible moats that compound over time, creating insurmountable barriers to competition in the ₹26 Lakh Cr MSME lending market.

18 months to replicate

Proprietary Data Models

18-Month Data Integration Advantage

Custom-built connectors to 50+ data sources (GST, Account Aggregator, UPI, banking, behavioral) with proprietary normalization models. Competitors need 12-18 months to replicate this infrastructure.

12 months engineering lead

AI Agent Architecture

Patent-Pending Autonomous Intelligence

First-to-market agentic AI that monitors 50+ risk parameters 24/7, predicts defaults 3 weeks early, and triggers interventions autonomously. Requires specialized ML talent (6-12 months to build).

Compounding advantage

Network Effects

Data Flywheel Creates Winner-Take-Most Dynamics

Every MSME monitored improves model accuracy. More lenders → more data → better models → more lenders. First-mover data advantage creates 5-10% accuracy gap vs competitors.

Regulatory head start

Regulatory Compliance Moat

RBI-Ready Infrastructure (Dec 2025 Mandate)

Pre-built compliance with RBI Early Warning System mandate, Account Aggregator framework, and SMA monitoring requirements. Competitors face ₹5,000+ Cr penalties for non-compliance.

Prevent MSME Defaults. Capture the Market. Power India's Lending Revolution.

Credit Chakra delivers measurable impact from day one. RBI compliance drives nationwide adoption: first to market, first to win.