Cytora Tech Stack

Generative AI for commercial insurance underwriting and risk workflows

Software Development London 51–200 employees Founded 2014 Privately Held

Cytora applies large language models and agentic AI to commercial insurance underwriting — a domain historically dependent on manual review and judgment calls. The tech stack is modern Python + TypeScript with FastAPI, PostgreSQL, and AWS infrastructure, suggesting a data-intensive, API-first architecture built to handle complex risk assessment tasks at scale. Active hiring across engineering, marketing, and customer success, combined with documented pain points around customer implementation and platform adoption, indicates they're scaling both product maturity and go-to-market motion.

Tech Stack 48 technologies

Core StackSalesforce Python FastAPI PostgreSQL Docker AWS Lambda AWS AWS RDS Kubernetes CircleCI Datadog Auth0 Terraform TypeScript httpx Pydantic SQLAlchemy Alembic Jinja2 pytest Ruff mypy OpenAPI Docker Compose AWS API Gateway AWS SQS AWS SNS AWS SES Pusher LocalStack+18 more

What Cytora Is Building

◆Challenges

Manual workflows
Risk processing in commercial insurance
Customer implementation challenges
Integration complexity
Go-live readiness
Legacy thinking
Automating risk intake
Low platform adoption
Attrition risk
Site speed and seo issues

▲Active Projects

Full-stack typescript production-grade web applications
Core llm service development
Domain-specific llm tasks for risk assessment
Main product offering in insurtech
Marketing and gtm initiatives via website
Go-to-market materials development
Customer implementation of cytora platform
Design api integration patterns
Create miro workflow playbooks
Ai-driven workflows

Hiring Activity

Accelerating20 roles · 9 in 30d

Department

Engineering

Marketing

Support

Data

Customer-Success

Sales

Seniority

Mid

Senior

Junior

Manager

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About Cytora

Cytora develops AI-driven workflow automation for commercial insurers, focusing on risk underwriting, premium optimization, and broker-client service. The platform sits between legacy insurance systems and underwriters, automating risk intake and assessment using generative AI. Founded in 2014 and based in London, the company operates as a privately held insurtech vendor. Current hiring spans engineering, marketing, customer success, and data roles across the UK, Ireland, and the US — a mix that reflects simultaneous product development and effort to reduce implementation friction and improve customer adoption.

HeadquartersLondon

Company Size51–200 employees

Founded2014

Hiring MarketsUnited States, Ireland, United Kingdom

Frequently Asked Questions

What tech stack does Cytora use?

Python, FastAPI, PostgreSQL, Pydantic, SQLAlchemy on the backend; TypeScript for frontend web applications. Infrastructure is AWS (Lambda, RDS, SQS, SNS, API Gateway), Kubernetes, Docker, and Terraform for infrastructure-as-code. Salesforce for CRM, Auth0 for identity, Datadog for observability, CircleCI for CI/CD.

What is Cytora working on?

Core development includes LLM service infrastructure, domain-specific AI models for risk assessment, full-stack TypeScript web applications, and API integration patterns. Go-to-market work includes website GTM materials and customer implementation playbooks. Internal focus areas: automating risk intake, improving platform adoption, and addressing implementation complexity.

How this profile is built

Cytora's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.