Core System Integration
Pipelines pull policy, claims, and billing data from Guidewire, Duck Creek, or legacy platforms into Snowflake, Databricks, or Azure Synapse with consistent definitions and full lineage.
Industries
Insurance Analytics Services
Sharper Pricing, Faster Claims, Cleaner Regulatory Reporting
Property and casualty, life, and health carriers work with us to connect policy, claims, and billing data and put it to work. We build the data platforms, models, and reporting that underwriters, claims teams, and actuaries rely on every day.
What We Deliver
Where We Make the Difference
Carriers hold decades of policy and claims history, often split across core systems, spreadsheets, and third-party feeds. Pricing, reserving, and reporting all suffer when those sources disagree. We bring them into one governed platform, then build the analytics each team needs on top of it.
Claims Severity and Fraud
Models score incoming claims for likely severity and suspicious patterns, so adjusters see which files need senior attention and which can move through a faster path.
Underwriting Risk Insight
Third-party property, vehicle, and geospatial data joined to your own loss history gives underwriters a fuller view of each risk at the point of quote.
Traceable Actuarial Reporting
Loss triangles, reserve analysis, and statutory reporting built on versioned, auditable data give actuaries and examiners a clear path from every figure back to its source.
Our Approach
How We Deliver Insurance
Step 1: Inventory Policy and Claims Data
We catalog your core systems, third-party feeds, and reporting obligations, then document where definitions conflict and which data quality issues affect pricing or reserves.
Step 2: Build the Governed Data Layer
A lineage-tracked insurance data model brings policy, claims, billing, and external data together, with access controls suited to sensitive policyholder information.
Step 3: Develop Models With Your Actuaries
Claims, fraud, and pricing models are built alongside your actuarial and analytics teams, who review assumptions and validate results against historical outcomes before release.
Step 4: Release Under Model Governance
Models go live with documentation, monitoring, and review cycles that fit your model risk policy, so your team can explain every score to regulators and auditors.
Do we have to replace our policy administration system?
No. We integrate with the core systems you already run, whether Guidewire, Duck Creek, or an older platform, and build the analytics layer alongside them.
How do you handle regulatory reporting requirements?
We design the data platform with lineage, version control, and audit trails so NAIC statutory reporting and state filings can be traced back to source records. Your compliance and actuarial teams stay in control of the filings themselves.
Can fraud models be explained to adjusters and regulators?
Yes. We favor models whose drivers can be shown for each score, and we document features, training data, and validation results so reviewers can see why a claim was flagged.
Where should a carrier start?
Usually with one line of business and one question, such as claim severity in auto or loss trends in a specific property book. A focused start builds the data foundation the next use case will reuse.
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