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Trellis Tech Stack

Embedded insurance platform connecting fintechs and insurers through data and APIs

Software Development San Francisco, CA 11–50 employees Founded 2019 Privately Held

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.

Tech Stack 14 technologies

Core Stackdbt Looker Python FastAPI Kubernetes BigQuery Vertex AI Redis DataRobot SQL GCP Pub/Sub Dataflow Cloud SQL

What Trellis Is Building

Challenges

  • Improving agent performance
  • Optimizing yield through predictive models
  • Maintaining daily call center activities
  • Scalability and performance across the platform
  • Integration with external agencies and insurance carriers
  • Query performance optimization
  • Data modeling complexity
  • Reducing churn
  • Preventing cancellations
  • Improving workflows

Active Projects

  • Integrate models into recommendation engine
  • Ml-based predictions for user paths
  • Datarobot retention forecasting
  • Conversational ai roadmap evolution
  • Data quality & alerting system
  • Fast, reliable analytics
  • Data development workflow
  • Real-time bidding infrastructure integration
  • Api integration with affiliate partners
  • Data pipeline monitoring

Hiring Activity

Steady15 roles · 6 in 30d

Department

Engineering
5
Sales
5
Support
3
Data
1
Product
1

Seniority

Mid
5
Senior
5
Lead
4
Staff
1
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About Trellis

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).

HeadquartersSan Francisco, CA
Company Size11–50 employees
Founded2019
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Trellis use?

Core: GCP (BigQuery, Dataflow, Pub/Sub, Vertex AI, Cloud SQL), Python, FastAPI, Kubernetes. Analytics: dbt, Looker. ML: DataRobot. Caching: Redis.

What is Trellis working on?

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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