300M+ records powering insurance intelligence globally. Real-data dashboards, market forecasting, competitor analysis, and geographic intelligence — built for insurers, carriers, and data enterprises worldwide.
Enlyt ingests, normalizes, and enriches data from multiple sources to create actionable intelligence layers. Built for India today, architected to ingest any global dataset.
300M+ vehicle records — make, model, variant, fuel type, registration zone, insurance status, and claims history. Ingest US NHTSA data, EU vehicle registrations, Middle East fleet records, telematics, and IoT sensor feeds for any market.
Population density, urbanization indices, demographic distributions, and geographic boundaries mapped across 35 states and 1300+ zones. Extensible to any national census or geographic dataset globally.
Household income distributions, spending patterns, financial product penetration, and credit bureau overlays. Enables affordability-based product mapping and premium capacity estimation across regions.
Historical weather patterns, flood zone mapping, natural disaster frequency, and parametric trigger data. Critical for property, crop, and climate-linked insurance products in any geography.
Zone-by-zone insurance penetration rates, premium density, product mix, carrier market share, and whitespace analysis. Identifies under-served markets and expansion opportunities with granular precision.
Architected to ingest ANY dataset — US NHTSA crash data, EU Solvency II reporting, Middle East market stats, telematics streams, IoT device feeds, and third-party enrichment APIs. No data silo left behind.
Five-stage pipeline that transforms disparate data sources into forecasts, competitive signals, and operational decisions — powered by ARIMA, SARIMA, Random Forest, and Linear Regression models at 89% confidence.
Autoregressive Integrated Moving Average for time-series trend detection
Seasonal patterns in premium cycles, renewals, and claims frequency
Ensemble classification for risk scoring and segment prediction
Baseline pricing models and demand elasticity analysis
From real-time dashboards to predictive models — every capability is built on production data, not synthetic benchmarks.
Live dashboards powered by 300M+ records — not sample data. Vehicle registrations, insurance penetration, market share, claims trends, and demographic overlays updated in real time. Drill down from national to zone-level granularity.
Predict demand, premium volumes, and market growth using ARIMA, SARIMA, Random Forest, and Linear Regression models at 89% confidence. Forecast by product line, geography, segment, and time horizon.
Carrier market share by zone, product mix benchmarking, pricing position analysis, and growth trend comparisons. Identify where competitors are gaining or losing ground — at the zone and product level.
Mapbox-powered spatial analytics with heat maps, cluster analysis, and territory optimization. Visualize insurance density, risk corridors, distribution reach, and expansion opportunities across 1300+ zones.
Multi-factor risk models combining vehicle data, geographic risk, demographic signals, claims history, and weather patterns. Generate risk scores at individual, fleet, zone, and portfolio levels for precise underwriting.
Data-driven pricing recommendations based on risk scores, competitor positioning, demand elasticity, and loss ratio targets. Optimize premiums by segment, geography, and product line to maximize GWP while maintaining profitability.
Enlyt is not a standalone analytics tool. It is the intelligence layer that powers distribution, embedding, and autonomous operations across the platform.
Enlyt provides ICE with market demand signals, zone-level opportunity maps, and carrier performance data — enabling smarter product placement, territory assignment, and channel optimization across 4000+ branches.
Enlyt's income, demographic, and behavioral data powers Enbed's 12+ persona models — matching the right insurance product to the right customer at the right moment during embedded checkout flows.
AI Agents consume Enlyt's risk scores, pricing models, and market signals to make autonomous underwriting, distribution matching, and engagement decisions — grounded in real data, not generic LLM outputs.
Enlyt powers intelligence products for some of the world's most demanding data and analytics enterprises.
Enlyt powers Ola Electric's market intelligence — vehicle registration trends, geographic demand mapping, competitive analysis, and insurance penetration data driving product and distribution strategy across India's EV ecosystem.
Enlyt provides S&P Global's Auto Division with India-specific vehicle intelligence — registration volumes, make/model analytics, segment trends, and market share data powering their global automotive data products.
Enlyt supplies CRISIL with insurance market intelligence — penetration analytics, premium density mapping, carrier performance benchmarks, and zone-level risk data used in their insurance sector research and ratings.
300M+ records. 89% model confidence. 6+ forecasting models. Trusted by Ola Electric, S&P Global, and CRISIL.
See what Enlyt can do with your data.