AI-powered underwriting platform for Lloyd's of London brokers
Ki builds an underwriting decision engine for Lloyd's brokers using proprietary algorithms paired with machine learning on Google Cloud. The tech stack is hybrid (GCP + AWS, Kotlin/Python/Java backends, React frontend, PostgreSQL + BigQuery data layer) and reflects a full-stack product organization. Hiring velocity is accelerating with a 16:10 engineering-to-data ratio, while active projects span broker platform APIs, data governance, and internal reporting automation — all targeting the core pain: scaling underwriting decisions at the placement-market level.
Notable leadership hires: Head of Product, Head of Property
Ki is an insurance technology company founded in 2020 and based in London. The platform automates underwriting decisions for commercial brokers placing risk at Lloyd's, combining proprietary underwriting algorithms with machine learning to reduce friction and decision time. The product is built in partnership with Google Cloud and backed by Fairfax Financial and Blackstone. The company operates across 201–500 employees, with concentrated hiring in the UK and a technical foundation spanning GCP, Kotlin, Python, Java, and PostgreSQL. Core operational focus areas include broker-facing APIs, data governance frameworks, casualty treaty strategy, and model validation — all anchored to the challenge of scaling instant underwriting decisions across the Lloyd's market.
Ki uses Google Cloud, AWS, Kotlin, Python, Java, React, TypeScript, PostgreSQL, BigQuery, GCP, Terraform, and FastAPI. Backend is polyglot (Java, Kotlin, Python); frontend is React/TypeScript; data stack runs on PostgreSQL and BigQuery.
Active projects include a broker platform, API integrations, data governance frameworks, underwriting strategy for casualty treaties, data models for growth, and automation of internal and external reporting.
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