Generative AI platform for commercial insurance risk workflows
Cytora applies LLMs and agentic AI to automate risk assessment and underwriting in commercial insurance. The stack is modern full-stack (TypeScript/React, Python/FastAPI, PostgreSQL, AWS) with heavy investment in domain-specific LLM tasks and risk digitization — projects show the core product is now in active deployment across insurers. Hiring has decelerated but remains concentrated in engineering (5 open roles), signaling product-market fit validation over growth-at-all-costs.
Cytora builds an LLM-powered platform that digitizes risk workflows for commercial insurers and brokers. The product automates manual risk intake, assessment, and underwriting processes using domain-specific language models and agentic AI. Customers are mid-market and enterprise commercial insurance carriers in the US, UK, and Ireland. The company operates a deployment-led sales motion, with active projects focused on expanding adoption across existing insurers and extending the platform's configurability for different underwriting processes.
Frontend: TypeScript, React, Redux. Backend: Python, FastAPI, Pydantic, SQLAlchemy. Data: PostgreSQL, AWS RDS. Infrastructure: AWS Lambda, API Gateway, SQS, SNS, Docker. Monitoring: Datadog. Version control: GitHub.
London, United Kingdom. The company also hires actively in the US and Ireland.
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