Deploy Intelligent Risk Assessment Models That Deliver Speed, Accuracy, and Portfolio Resilience.
Traditional underwriting can’t handle today’s dynamic data—leaving insurers with inaccurate, slow, and unscalable risk decisions.
of insurers say outdated risk models slow their underwriting cycles
of early-stage claims could have been predicted with better upfront risk modeling
Today’s risk intelligence must be granular, real-time, adaptable, and explainable across products and channels.
Leverage telematics, health app data, credit history, lifestyle inputs, and purchase patterns to score dynamic risk
Use demographic, financial, behavioral, and historical inputs — weighted by ML-based calibration
Risk scoring frameworks for life, motor, health, travel, home, and group insurance
Detect synthetic profiles, overlapping policies, or conflicting declarations using pattern recognition
Improve accuracy with feedback from claims, renewals, and customer servicing outcomes
Clearly show why a risk score was assigned — with audit-ready logic
Forecast portfolio-level risk under policy, geography, or behavioral variable changes
Pull external data (bureau, medical records, vehicle history, wearables, IIB, government sources) to enrich model depth
Modern insurance needs models that not only assess — but adapt, defend, and deliver.
We combine actuarial science, machine learning, and regulatory-grade transparency to build scoring models that balance speed, depth, and accountability.
Empower business teams to design, test, and deploy risk rules and scoring logic — without IT bottlenecks
One platform for rule-based, ML-based, and blended scoring models — configurable by product and segment
Train models using your claims, application, and servicing data — for performance that reflects your book
Compare models based on approval rate, claim incidence, NPA levels, or premium yield
Embed models across POS apps, agent portals, D2C journeys, and third-party quote engines
Store model decisions, audit trails, overrides, and inputs for IRDAI, internal audit, and reinsurance validation
INT. delivers risk modeling that scales underwriting precision — not operational burden.
Let’s evaluate the health, coverage, and efficiency of your current risk engines — and identify where ML, XAI, or data enrichment can elevate impact.
You’ll receive:
We go beyond maintaining operations—we empower businesses with data, insights, and best practices to stay ahead in an ever-evolving digital landscape.
