Data platforms
A governed single source of truth for claims, policies, members and risk
We design and build modern data platforms on Snowflake or Databricks — warehousing, lakehouse architecture, real-time and batch pipelines, and the governance that makes the data safe to use. The result is analytics, fraud detection, and ML foundations your actuaries and analysts can trust.
Outcomes
What changes for your team
Policyholder and member 360
One reconciled view across core systems instead of competing extracts.
Reporting that closes faster
Automated pipelines replace the manual month-end scramble.
Risk and pricing signal
Curated, documented datasets that risk, actuarial, and pricing teams can build on.
Fraud detection foundations
Feature-ready claims data with lineage, so models are explainable to auditors.
Governance you can evidence
Access controls, PII/PHI handling, cataloguing, and lineage as first-class deliverables.
Predictable platform cost
Warehouse sizing, workload isolation, and cost monitoring built into the design.
Capabilities
What we deliver
- Snowflake platform design and build
- Databricks lakehouse architecture
- Batch and real-time (streaming) pipelines
- Dimensional and data-vault modelling
- Claims, policy and member data integration
- Data quality, testing and observability
- Data governance, catalog and lineage
- PII / PHI classification and masking
- Analytics enablement and semantic layers
- ML and feature-engineering foundations
How we work
A delivery path built for regulated environments
- 01
Map
Source systems, data owners, and the decisions the platform must serve.
- 02
Architect
Platform, zones, modelling standards, and the governance model, agreed up front.
- 03
Build
Pipelines and models shipped incrementally, tested and monitored from the first release.
- 04
Operate
Runbooks, cost controls, and hand-over so your team runs the platform confidently.