Building Insurance AI with Cake

Overview

Insurance operations are complex, highly regulated, and often burdened by legacy systems and manual processes. From claims processing to underwriting to customer service, teams rely on a web of disconnected tools and siloed data. This slows down decision-making, drives up costs, and makes it harder to respond to customer needs or regulatory changes.

Cake helps insurers accelerate transformation by giving teams a secure, compliant AI stack that works with their existing infrastructure. You can ingest structured and unstructured data from policy documents, emails, or third-party systems, then apply best-in-class open-source models to classify, extract, summarize, or route information in real time. Whether you’re building virtual agents, streamlining FNOL intake, or flagging high-risk applications, Cake provides the flexibility to test, iterate, and deploy with confidence.

Every component of Cake is designed for production-grade insurance workloads. Run everything inside your own environment to maintain strict data control. Stay compliant with HIPAA, SOC 2 Type II, and other industry standards without extra configuration. And reduce infrastructure overhead with a modular platform that simplifies orchestration, observability, and scaling so your team can focus on building AI that delivers results across the entire policy lifecycle.

Key benefits

Policy personalization

Use predictive modeling to tailor recommendations and optimize pricing for individual policyholders.

Document processing and intake

Extract structured data from complex forms, including FNOLs, medical records, and policy documents.

Agent enablement and quote assistance

Give agents real-time AI support to surface policy details, generate quotes faster, and answer complex customer questions behind one pane of glass.