Building Insurance AI with Cake

Overview

Legacy operations stacks can barely keep up with modern infrastructure, let alone modern data. Logs, metrics, and alerts pour in faster than teams can triage, and manual responses slow everything down. AIOps bridges that gap, bringing intelligence and automation to incident detection, diagnosis, and resolution.

Cake provides a full AIOps stack built on open-source components and designed for real-world infrastructure. Use LLMs to interpret logs, correlate events, and trigger actions. Connect to observability tools like Prometheus and Grafana, orchestrate workflows with Kubeflow Pipelines, and monitor system health using open models like Evidently or NannyML.

With Cake, you can integrate the latest AIOps innovations into your workflows without being locked into an opaque vendor product. And because everything is modular and cloud agnostic, you reduce costs, improve flexibility, and maintain control over critical operational logic.

Key benefits

✓ Accelerated deployment of AI use cases: Teams used Cake to ship new AI-powered workflows up to 70% faster with reusable, modular components.

✓ Improved compliance posture and data control: Run workloads in your own cloud environment and meet HIPAA, SOC 2, and other regulatory standards with confidence.

✓ Lower infrastructure and ops costs: Reduce AI ops overhead by up to $1M/year with managed infrastructure and automatic scaling.

✓ Easy integration with legacy systems: Connect AI workloads to existing claims, policy, and CRM systems without needing to rebuild from scratch.

✓ Built-in support for open source innovation: Stay at the forefront of AI by adopting best-in-class open source models and tools without vendor lock-in.