Solutions
Purpose-built for every kind of lender.
Whether you’re a bank modernising credit, an NBFC scaling operations or a digital platform launching new products — the platform is being designed to adapt.
Solution 01
Banks
Modernise credit decisioning across retail and SME lending.
Challenges
- •Long approval turnaround times
- •Legacy scorecards limited to bureau data
- •Fragmented risk visibility across products
How we help
- •AI-assisted underwriting on cashflow data
- •Unified risk view across the loan lifecycle
- •Explainable outputs suitable for audit
Expected Benefits
- •Faster decisions with less manual review
- •Better risk-adjusted approvals
- •Consistent, defensible credit rationale
Solution 02
NBFCs
Scale lending confidently without expanding operations linearly.
Challenges
- •Thin-file customers
- •High operational cost per file
- •Portfolio stress hard to detect early
How we help
- •Behaviour-based risk models beyond bureau
- •Automated case summaries for reviewers
- •Early warning signals on borrower stress
Expected Benefits
- •Broader eligible funnel
- •Lower cost-to-decision
- •Reduced default surprises
Solution 03
MSME Lenders
Underwrite small businesses using real financial behaviour.
Challenges
- •Limited formal financial history
- •Manual verification of GST and banking data
- •Difficulty assessing seasonality
How we help
- •Cashflow-first analysis of banking + GST
- •Automated verification workflows
- •Seasonality-aware risk assessment
Expected Benefits
- •Approve more good businesses
- •Cut manual review effort
- •Confidence to lend to newer segments
Solution 04
Digital Lending Platforms
Ship AI-native decisioning without building it in-house.
Challenges
- •Building risk stack is expensive and slow
- •Fraud pressure at scale
- •Need for real-time decisions
How we help
- •Plug-and-play APIs for risk and fraud
- •Real-time scoring and explainability
- •Continuously improving models
Expected Benefits
- •Faster time-to-market
- •Lower fraud losses
- •Better unit economics
Solution 05
Microfinance Institutions
Bring data-driven intelligence to community-scale lending.
Challenges
- •Field-heavy operations
- •Limited digital footprint of borrowers
- •Concentration and cluster risk
How we help
- •Lightweight decision workflows
- •Explainable outputs field officers can trust
- •Portfolio-level concentration insights
Expected Benefits
- •Faster field-to-decision cycles
- •Better mix of borrowers
- •Improved portfolio resilience