Insuretech
Bringing intelligence to underwriting, claims, and policy management.
Insurance generates enormous volumes of structured and unstructured data — policies, claims, loss histories, telematics, and more. We help insuretechs turn that complexity into precise underwriting, faster claims, and proactive risk management.
The hard problems Insuretech faces
Manual Claims Processing
High-volume, paper-heavy claims workflows slow settlement and drive costs. AI document extraction and classification automate straight-through processing for eligible claims.
Underwriting Accuracy
Thin data and legacy models lead to adverse selection. We build feature stores and ML pipelines that surface richer risk signals for more accurate pricing.
Fraud Detection
Sophisticated claims fraud costs the industry billions annually. Graph-based anomaly detection and behavioural models catch coordinated fraud rings that rules alone cannot.
Regulatory Reporting
Solvency II, IFRS 17, and local regulatory requirements demand precise, auditable data. We build the governed data foundations and automated reporting that satisfy regulators.
What we build for you
AI-Powered Claims Automation
LLM agents that read, classify, and triage incoming claims documents — routing simple cases to straight-through settlement and flagging complex cases for human review.
Risk & Pricing Models
ML pipelines that ingest telematics, claims history, geospatial, and external data to produce risk scores that outperform actuarial tables for granular segments.
Governed Data Platform
A centralised, lineage-tracked data environment where every data point can be traced from source to regulatory submission — reducing audit risk and remediation cost.
Ready to transform your Insuretech data strategy?
Let's discuss the specific challenges your business faces and design a solution that delivers real impact.