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The only platform that fuses internal policy systems, public government data, and third-party commercial feeds with AI to surface insights that don't exist in any insurance platform today.
InsightPulse provides the core AI engine, data fusion layer, and 360-degree intelligence framework. Insurance 360 extends this foundation with deep P&C domain models, insurance-specific ML pipelines, and 130+ curated data sources to deliver insights impossible with traditional insurance analytics.
The secret sauce: no single data source tells the full story. Insurance 360 fuses four categories of data in real-time to surface insights invisible to siloed systems.
38 sources from your core operational systems
28 government and regulatory open datasets
26 licensed commercial data providers
25+ models generating predictive intelligence
Every insurance entity gets a fully denormalized, AI-enriched single pane of glass. Each view fuses data from dozens of sources into one actionable record.
Core Insurance Entities
Full account view with financials, risk profile, policies, claims
Book of business, performance, loyalty metrics, submissions
Coverage details, endorsements, billing, reinsurance
Full lifecycle, reserves, payments, litigation, ML scores
Geospatial risk, CAT exposure, neighborhood drift
Fleet, telematics, driver risk, claims history
Contract, Product & Risk Transfer
Multi-policy programs
Product performance
Line of business analytics
Treaty cessions, recoveries
Panel, credit risk, capacity
Layer structure visualization
Personnel, Parties & Assets
Book, hit ratio, authority
Caseload, closure rates
Relationships, retention
Claimants, drivers, contacts
Equipment, machinery, inventory
Construction, development
These insights are only possible when you fuse internal + external + third-party data with LLMs and ML. No insurance platform delivers them.
Detects cash flow decline from SEC 10-Q + D&B score drop + news layoff articles. Alerts underwriters 90 days before renewal with full exposure impact.
D&B corporate linkage reveals ABC Corp has 14 subsidiaries but you only insure 6. Estimated uninsured premium opportunity: $1.2M across WC, Property, Auto.
This manufacturer has no Cyber coverage but 78% of similar-sized peers carry cyber limits of $5M+. Industry cyber claims up 340% in 3 years. Premium opportunity: $45K.
87% probability of attorney involvement within 30 days based on injury type, claimant zip (high litigation area), and 14-day treatment gap pattern. Early intervention saves est. $45K.
Medical provider Dr. Smith appears in 23 claims across your portfolio and is NICB-flagged. Claims from this provider have 3.2x higher cost and 2.8x longer duration than peers.
NOAA projections + FEMA flood map updates show this location's flood risk will increase from Zone X to Zone AE within 5 years. 340 of your 12,000 locations are in similar transition zones.
Submission volume dropped 34% QoQ. New competitor appointment detected. Hit ratio declined from 45% to 22%. 3 top accounts renewing in 60 days. Retention risk: HIGH.
Top 10 insureds share 4 common suppliers. Disruption to Supplier X would simultaneously impact 23% of property portfolio ($340M TIV) through business interruption chains.
Reinsurer ABC's A.M. Best rating on negative watch today. Their 15% share of your Cat XOL treaty = $12M limit. Estimated recovery risk if downgraded: $3.2M.
From actuarial development to fraud detection, every model is integrated directly into entity 360 views with transparent confidence scores and source attribution.
XGBoost ensemble, 142 features
Bankruptcy probability
Chain Ladder + BF methods
Fraud ring detection
Attorney involvement probability
Peer-based gap detection
PML, AAL, EP curves
BERT-based transformer
Propensity scoring v3.0
Cohort clustering + z-score
5/10-year scenario models
Reinsurance portfolio optimization
Four-layer medallion architecture with support for Databricks, Snowflake, and Redshift. Real-time streaming, incremental processing, and pre-computed KPIs for sub-second dashboards.
Raw CDC Ingestion
Append-only, schema-on-read
Cleansed & Validated
SCD Type 2, Great Expectations
Denormalized 360 Models
Star schema, ML features
Pre-computed KPIs
Sub-second dashboards
Account profile + pre-aggregated KPIs (premium, TIV, retention) + nested policies, claims, locations + AI fields: churn_risk_score, cross_sell_opportunities
Full coverage details + location schedule with CAT zones + endorsement history + reinsurance treaties + AI fields: pricing_adequacy_score
Full lifecycle + reserve history + payment history + litigation struct + AI fields: predicted_ultimate, reserve_adequacy_score, fraud_risk_score
Geo-coordinates + property details + replacement values + CAT zones (flood, earthquake, wind, wildfire) + risk score + claims history
Natural language access to every insight across 22 entities. Ask questions, run simulations, and get actionable intelligence in seconds.
Every 360 view has an embedded AI assistant aware of the current entity, its data, and its relationships. Ask questions in plain English.
Dual-mode interface: type-ahead entity search + natural language query. Find any entity, then dive into AI-powered guided insights.
Same data, different lens. Executives see portfolio impact. Underwriters see risk details. Claims handlers see severity predictions. Brokers see relationship signals.
Run stress tests, growth scenarios, climate projections, competitive simulations, and cession optimizations directly from insight cards.
Interactive D3.js force-directed graph with 22 entity types. Click any node to navigate. Configurable traversal depth for relationship discovery.
Role-based dashboards with AI-powered analytics, suggested topics, and natural language drill-down for every function in the organization.
Portfolio performance, AI insights panel, 20+ configurable widgets
Risk selection, appetite alignment, rate adequacy
Reserve trends, severity/frequency, litigation tracking
Production analytics, share of wallet, loyalty risk
Underwriter, handler, and manager benchmarking
Treaty optimization, cession analysis, reinsurer credit
Concentration, diversification, market cycle positioning
CAT exposure, emerging risks, climate projections
Cross-sell opportunities, market gaps, expansion analysis
Full coverage across primary commercial, specialty, and industry-specific lines
Primary Commercial
General Liability Commercial Property Workers' Compensation Commercial Auto Umbrella / Excess Inland MarineSpecialty & Professional
Cyber Liability Directors & Officers Employment Practices Professional Liability Medical Malpractice Fiduciary LiabilityIndustry Verticals
Construction Environmental Marine Aviation Energy Healthcare Financial Institutions Technology Life Sciences Real EstateThe shift from backward-looking dashboards to forward-looking, AI-driven intelligence
| Traditional Insurance Analytics | Insurance 360 with AI |
|---|---|
| Backward-looking dashboards | Forward-looking predictions |
| Single data source per view | Fused multi-source intelligence (130+ sources) |
| Manual periodic review | Real-time continuous monitoring |
| Aggregate portfolio metrics | Entity-level actionable alerts |
| "What happened" | "What will happen and what to do" |
| Available to analysts only | Available to every role via natural language |
| Static reports | Dynamic, context-aware recommendations |
Discover how AI-powered multi-source intelligence transforms underwriting, claims, and portfolio management
P&C Carriers • MGAs • Program Administrators • Reinsurers