Owl.co builds claims intelligence software for large insurers, with a tech stack centered on AWS (RDS, Lambda, VPC) and Python for real-time decisioning. The company is actively scaling deployment automation and infrastructure-as-code practices while contending with typical insuretech friction: unstructured claim data, multi-stakeholder approval cycles, and the need to audit AI fairness in high-stakes decisions. Hiring velocity is accelerating across senior engineering, product, and design roles.
Owl.co provides claims intelligence and fraud detection technology for enterprise insurance carriers. The platform ingests and enriches claims data through external sources, then applies AI-guided decisioning to help adjusters prioritize work and surface patterns. Founded in 2019 and based in Vancouver, the company operates with 51–200 employees across North America. The active project list—real-time decisioning infrastructure, deployment pipeline automation, and production conversion workflows—reflects a maturing platform transitioning from pilot to scale. Core pain points center on handling large, messy claims datasets and simplifying the complexity of insurance workflows for adoption.
Owl.co runs on AWS (RDS, Lambda, VPC) with Terraform and CloudFormation for infrastructure-as-code, Python and Java for application logic, and integrates Salesforce and LinkedIn for enterprise workflows.
Active projects include real-time decisioning infrastructure, deployment pipeline automation, infrastructure-as-code implementation, and production conversion workflows for insurance claims processing.
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