Embedded insurance platform connecting fintechs and insurers through data and APIs
Trellis embeds insurance into fintech and banking apps via APIs and data integration, using a GCP-native stack (BigQuery, Dataflow, Vertex AI, Pub/Sub) layered with DataRobot for predictive models and dbt for data transformation. Active projects around ML-based user-path prediction, real-time bidding integration, and conversational AI reveal a shift from static insurance marketplace features toward dynamic, personalized recommendation engines—supported by hiring across engineering, sales, and support roles.
Trellis builds embedded insurance infrastructure for financial institutions, fintechs, and insurers. The platform connects consumer financial apps (where users already spend time) with a network of 150+ insurers, enabling real-time quote comparison, online binding, and account linking via API. Trellis operates as a remote team of 11–50 based in San Francisco, founded in 2019. Revenue scales through white-label distribution (insurers pay for customer acquisition) and partner commissions (fintechs earn on embedded insurance sales).
Core: GCP (BigQuery, Dataflow, Pub/Sub, Vertex AI, Cloud SQL), Python, FastAPI, Kubernetes. Analytics: dbt, Looker. ML: DataRobot. Caching: Redis.
ML-based user-path prediction, DataRobot retention forecasting, real-time bidding infrastructure, conversational AI roadmap, data quality alerting, and API integrations with affiliate partners.
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