AI Development for
Insurance / Insurtech.
Insurance UX has been bad for so long that even modest improvements compound into market share. Vedwix builds ai development for Insurance / Insurtech companies — with the compliance posture, KPI awareness, and operational shape your category demands.
Brief us on AI workWhat we know about Insurance / Insurtech.
- SOC 2
- PCI DSS
- GDPR
- NAIC / local insurance regulators
- Loss ratio
- Claim cycle time
- Quote-to-bind conversion
- Legacy core systems
- Slow claims experiences
- Long, expensive sales cycles
Three use cases we ship.
Claims automation with vision AI
We build AI features that ship to real users — not demos. For insurance, that means designing for SOC 2, measuring against Loss ratio, and avoiding the legacy core systems that plague the category.
Underwriting copilots
We build AI features that ship to real users — not demos. For insurance, that means designing for SOC 2, measuring against Loss ratio, and avoiding the legacy core systems that plague the category.
Customer-service deflection
We build AI features that ship to real users — not demos. For insurance, that means designing for SOC 2, measuring against Loss ratio, and avoiding the legacy core systems that plague the category.
AI Development,
insurance-aware.
We don't pretend every project is the same. Insurance / Insurtech has its own compliance, KPIs, and unwritten rules. We bring those in from day one.
Start a projectWhat you get.
- RAG system with hybrid search
- Eval harness + observability
- Agent orchestration
- Fine-tuning + serving
- Internal AI tooling
We build AI features that ship to real users — not demos. RAG systems with hybrid retrieval, agents with structured outputs, fine-tuned small models, and eval harnesses that measure quality before and after every change.
Examples of Insurance / Insurtech companies in this space: Lemonade, Hippo, At-Bay.