Elastic becomes Official Search and Observability Supplier to Audi Revolut F1 Team

Elastic has announced a multi-year partnership with Audi Revolut F1® Team. The company will be the team's Official Race Partner for the 2026 United States Grand Prix and its Official Search and Observability Supplier from 2027.
- Elastic and Audi Revolut F1® Team announce a multi-year partnership.
- Elastic is Official Race Partner for the 2026 United States Grand Prix in Austin and Official Search and Observability Supplier from 2027.
- The team already uses Logstash, Elasticsearch and Kibana to investigate issues across its engineering software.
- Elastic branding will appear on the Audi R26 halo and headrest in Austin.
- New use cases will be shared once developed and validated with the team.
What the partnership covers
According to Elastic, the deal builds on a technical relationship that already exists: the team uses Elastic to support investigations across its engineering software. The new agreement formalizes that link and extends it over several years.
The first visible step comes at the 2026 United States Grand Prix in Austin, which Elastic says is building October 23 to 25. There, Elastic branding will appear on the Audi R26 halo and headrest. Elastic says it will share approved car imagery once the team reveals it. From 2027, the company takes on the title of Official Search and Observability Supplier.
How the team uses Elastic today
Elastic describes the team's environment as one built on a network of connected engineering applications, with operational data spread across multiple systems. Reliability is critical, as the company puts it, when there is "no room for a second attempt".
Elastic says its platform brings logs, metrics and other telemetry together into one unified operational view from factory to track. Engineers can search that data in milliseconds and investigate what is happening across critical systems under race-day pressure. The setup uses three parts of the Elastic stack:
- Logstash collects and processes application logs.
- Elasticsearch makes those logs searchable.
- Kibana provides dashboards and analysis.
According to Elastic, engineers can use this to investigate errors and trace issues across connected software applications, primarily in the factory environment.
Data as context for AI
Elastic also points to a growing role for the same data in AI. The company says it can bring together telemetry, past incidents, runbooks and operational knowledge. That gives AI the context it needs to help identify root causes and support remediation, while engineers remain in control of decisions.
The company frames the Formula 1 setting as an extreme example of a common problem: when critical operations depend on complex, distributed data, teams need to understand what is happening and act quickly.
What comes next
Elastic says Formula 1 is an environment of continuous development, where every race creates new information and teams look for ways to operate faster and more reliably. From 2027, the company plans to work with the team to explore how Search and Observability can support more of its engineering environment.
No specific new use cases have been announced. Elastic says it will share them as they are developed and validated together with the team. For now, the announcement confirms the partnership structure, the Austin branding and the 2027 supplier title, with details of any expanded deployment still to come.

