Last-mile logistics platform optimizing delivery costs for e-commerce retailers
Relay operates a delivery infrastructure platform targeting e-commerce friction—specifically, the cost-per-parcel economics that constrain what retailers can profitably sell online. The tech stack reveals a data-forward organization: Python + Rust + TypeScript for core services, GCP + BigQuery + dbt for analytics, and Dagster + Airflow for orchestration. Hiring velocity is accelerating across data (12 open roles) and ops (10), with active projects around forecasting engines, unit economics modeling, and dynamic pricing—indicating Relay is actively building toward margin improvement and network optimization rather than just volume growth.
Notable leadership hires: Chief of Staff, Business Operations Lead
Relay is a UK-based logistics platform founded in 2022, backed by a €35M Series A led by Plural (a deep-tech investor syndicate). The company serves retailers of all sizes, focusing on reducing delivery costs as a barrier to online commerce participation. Operations span forecasting, network simulation, client-specific dashboards, and geographic expansion—all fed by deep data integration with key customers. With 51–200 employees based primarily in London and Bulgaria, Relay is structured around a data and operations core, supported by smaller engineering, sales, and logistics teams.
Backend: Python, Rust, TypeScript. Infrastructure: GCP, Cloud Run, PostgreSQL. Analytics: BigQuery, dbt, Cube.js, Dagster, Apache Airflow, Tableau, Looker. Tools: Deel, Ashby, Vanta, Slack, Notion.
Active projects include forecasting engines, dynamic pricing models, unit economics upgrades, network simulation, client-specific dashboards, geographic expansion analytics, and deeper data integration for client growth and retention.
Relay Technologies's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.