Smarter insurance, engineered with AI — for underwriting, claims, and customer service.

Yes. We integrate with core platforms like Guidewire, Duck Creek, Sapiens, and Majesco, plus custom and legacy policy-admin systems, via APIs, message queues, and direct connectors. We sit alongside your core, not rip it out.

Bias testing across protected classes, model documentation, and human oversight, aligned to the EU AI Act, NAIC, and IRDAI AI guidance. Governance is built in from day one, not bolted on, with continuous monitoring for drift after deployment.

Yes. Every AI underwriting decision carries the factors and weights behind it, a full audit trail, and human-in-the-loop overrides — built so you can satisfy regulators and internal governance.

We build to SOC 2, ISO 27001, GDPR/DPDP, and your regional regulator’s requirements (e.g. IRDAI) — data localization, encryption, role-based access, and audit logging by default.

No. Your data stays yours. We use private, zero-retention model deployments (AWS Bedrock, Azure OpenAI, or on-prem open-weight models) and never train shared models on your policy or claims data.

Yes. We layer AI and automation on top of existing core and legacy systems through integration, so you get claims and underwriting wins without a multi-year rip-and-replace. Modernize incrementally.

Insurance builds typically range from $50,000 for a focused build such as a claims copilot or fraud model to $300,000+ for an end-to-end claims or underwriting platform. Drivers are core-system integration, compliance scope, and lines of business. Fixed-scope quote after discovery.

A focused build — a claims copilot, fraud scoring, or a service assistant — ships in 10–14 weeks. A full claims or underwriting platform runs 18–28 weeks, including core integration and compliance. Two-week sprints, working build from week one.