Projects & Case Studies
Projects & Case Studies
Production AI systems for insurance, public data, underwriting, and pricing.
Each card links to a full case study or project page with architecture detail, metrics, and methodology notes.
MCP Server
Eesti Data MCP Server
A live bridge between AI assistants and Estonian public data — weather, companies, parliament, electricity, transport, and more. No account or API key needed.
Live in production · open source · v0.3.0 · 77 toolsExplore the project →Case Study
Insly AI: Underwriting Automation Pipeline
As Head of AI Strategy at Insly, Ando Kivilaid designed and deployed an intelligent document processing pipeline that extracts commercial policy data from unstructured PDFs with 99.4% validated accuracy. The system automates 90% of manual submission triage, cutting average review time from 45 minutes to 90 seconds and saving over €500,000 in annual processing costs across the platform.
99.4% accuracy · 45 min → 90 s · €500k+ saved/yrRead the case study →Case Study
Insly AI: Dynamic Pricing Engine
Ando Kivilaid built Insly's dynamic pricing engine — a sub-100ms microservice layer that combines machine-learning loss predictions with classical actuarial rating grids. The system increased auto-binding rates from 22% to 68% while keeping loss ratios bounded, and let insurers deploy new risk-adjusted algorithms in days instead of months.
Auto-binding 22% → 68% · sub-100ms pricingRead the case study →