As Formula 1 becomes increasingly driven by data velocity and precision, traditional digital and data infrastructures struggle to keep pace with the scale, complexity, and real-time demands of modern racing operations. For Atlassian Williams F1 Team, the growing scale and complexity of operational, cost, and telemetry data highlighted the need for greater visibility and faster decision-making across car delivery and performance engineering.
Brillio helped strengthen the team’s digital backbone through a unified, AI-ready data platform that ingests data from ERP, PLM, and production scheduling systems, with automated pipelines running every 15 minutes to enable near real-time visibility. By introducing a common data model for telemetry analysis, enhancing high-speed data pipelines, and building secure, cloud-native CI/CD infrastructure with governed deployments, the platform reinforces a single source of truth. The result? Enabling faster planning and procurement decisions, improved financial visibility, deeper performance insights, and a strong foundation for AI-driven innovation.
Read the full case study to see how a modern data backbone is enabling near real-time intelligence, smarter performance optimization, and continuous innovation at race pace.
