Lassie operates a pet insurance platform built on TypeScript, Node.js, React, and a PostgreSQL + MongoDB backend, with OpenAI integrated into their stack — likely powering claims automation. Active development spans claims processing optimization, fraud detection, and pricing automation, reflecting a company transitioning from manual underwriting workflows toward algorithmic decisioning. Support hiring (7 roles) outpaces engineering (2), indicating operational scaling outrunning product velocity — typical for insurtech products hitting post-launch volume.
Lassie offers preventive pet insurance to pet owners across Europe, headquartered in Stockholm. The company was founded in 2020 and operates across 51–200 employees. Current product development focuses on automating the claims pipeline, reducing processing friction, and building pricing and fraud detection models. The team is hiring across support, operations, and product roles in Sweden, Germany, and France, with an acceleration in recent hiring velocity. Core technical challenges center on claims processing efficiency, fraud control, regulatory compliance, and scaling customer support.
Lassie's stack is TypeScript and Node.js for backend, React and Next.js for frontend, PostgreSQL and MongoDB for data storage, Python for data pipelines, and AWS for infrastructure. OpenAI is integrated into the platform.
Active projects include claims automation, backend API overhaul for claims processing, pricing tooling, fraud detection policy development, and customer onboarding improvements. The roadmap reflects a focus on automating manual claims workflows and scaling operational efficiency.
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