Cytora is a risk digitization platform that utilizes large language models to streamline the intake and processing of commercial insurance risks, including new business, claims, and renewals. By automating workflows and integrating data sources, the platform enhances underwriting efficiency, resulting in over 100% productivity improvements for insurers.
Funding
$32.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Commercial insurance companies face challenges in efficiently processing diverse and unstructured risk data from multiple intake channels. This often leads to slower turnaround times, increased operational costs, and inconsistent risk assessment, hindering profitable growth and optimal broker service.
Solution
Cytora offers a risk digitization platform powered by large language models (LLMs) that streamlines the ingestion, processing, and decision-making related to commercial insurance risks across new business, claims, renewals, and mid-term adjustments. The platform digitizes unstructured data from various submission channels, transforming it into decision-ready insights. By integrating internal and external data sources, Cytora enables insurers to automate workflows, improve risk selection, enhance underwriting efficiency, and accelerate competitive differentiation. The LLM-powered platform requires zero training and supports over 140 languages, facilitating rapid and scalable deployments across multiple lines of business and geographies.
Target Audience
The primary target audience includes commercial insurers, wholesale brokers, and MGAs seeking to digitize risk processing, improve underwriting efficiency, and enhance broker and customer service.
Features
- LLM-powered platform pre-trained on commercial insurance data for fast and scalable deployments
- Configurable line of business schemas in natural language for tailored risk assessment
- Unified intake channels for digitizing submissions from various sources
- Pre-integrated data sources for clearance, client accumulation, and risk evaluation
- Automated risk workflows for multi-step processing based on configurable rules
- AI-driven routing to auto-adjudicate low-complexity claims and route complex cases for review
- Portfolio enhancement tools to reveal risk flow shapes, detect changes, and optimize frontline actions
- Integration with external data providers and internal systems of record