Your AI Race Engineer for Every Session, Driver, and Car
RaceAI Studio is a purpose-built motorsports intelligence platform that helps drivers, coaches, engineers, and teams solve problems faster, learn across sessions, and turn racing data into better decisions.
Race Data Becomes Useful When the Full Story Is Connected
A lap time never exists in isolation. Driver execution, car behavior, setup, weather, track conditions, video, radio, notes, and prior decisions all shape the result.
Studio organizes that wider context into a structured intelligence environment so the AI can reason over the evidence instead of guessing from a single file or conversation.
Studio can connect:
- Telemetry exports and lap analytics
- Driver profiles, experience, and progression
- Car configuration and setup history
- Track maps, weather, and track conditions
- Video, radio, notes, and driver feedback
- Tasks, inventory, and component context
- AI investigations, reports, and evidence
Work With the AI—or Put AI Agents to Work for You
Studio supports both interactive analysis and deeper autonomous investigation. The same platform, tools, caching, and normalized data model power both workflows.
Interactive Coaching and Problem Solving
Work directly with Studio on one lap, one corner, one setup change, or one question at a time.
- Ask where time was gained or lost
- Compare driver execution and consistency
- Review braking, throttle, and corner approach
- Explore setup changes and vehicle behavior
- Use Driver Coach, Race Engineer, Crew Chief, or General mode
Investigate With AI Agents
Assign Studio a complex question that requires searching, calculating, comparing, testing hypotheses, and assembling evidence across a large body of data.
- Why were we slower across the last six events?
- Which setup changes consistently improved performance?
- How do multiple drivers differ across the same corners?
- What reliability patterns appear across the season?
- Generate evidence-backed findings and reports
More Than AI Chat
Studio does not simply upload a CSV and ask a generic chatbot for an opinion. It uses RaceAI's own AI Agent technology, specialized tools, normalized motorsports data, local caching, parallel execution, and structured evidence.
That architecture is what makes large-scale LLM reasoning practical, fast, and useful for real motorsports work.
Before producing an answer, Studio can:
- Select the right motorsports tools
- Retrieve relevant laps, channels, sessions, and context
- Execute tools in parallel
- Use local cache for speed
- Assemble structured evidence
- Reason with the LLM chosen by the customer
Studio supports OpenAI, Claude, Gemini, and Grok and is not locked to one LLM provider.
The LLM Is Not the Product
The product is RaceAI's motorsports intelligence platform: the tools, orchestration, normalized data, caching, context, evidence, and agent workflows that make AI reasoning useful.
From One Lap to an Entire Racing Program
Studio was designed to work across far more than one lap or one session. It can support large collections of sessions, many laps, multiple cars, multiple drivers, long-term history, and team-wide analysis.
Focused coaching and evidence
Cars, drivers, sessions, and seasons
Aggregated knowledge from participating teams
The Same Session, Viewed Through the Right Perspective
Driver Coach
Focuses on driver execution, confidence, consistency, braking, corner approach, throttle application, and learning progression.
Race Engineer
Focuses on vehicle behavior, setup correlation, data evidence, performance trends, and changes between sessions.
Crew Chief
Focuses on preparation, reliability, task execution, communication, operations, and race-weekend decisions.
General Mode
A balanced perspective for broader session review when the user wants overall understanding rather than one specific role.
Learn From More Than One Team
Participating teams can choose whether to contribute anonymized session information to the RaceAI community. Driver names and personal information are removed.
As participation grows, Studio can develop broader insights from aggregated motorsports experience while preserving the privacy of individual teams and drivers.
Two scopes of intelligence
- Team Intelligence: your cars, drivers, setups, notes, sessions, and history
- Collective Intelligence: aggregated insights learned from participating teams
- Participation can be enabled or disabled by the team
- Other teams do not receive direct access to your private session data
Keep the Tools You Already Trust
Studio does not replace professional telemetry systems. Your raw data remains in the vendor software. Studio works with exported data and adds the broader intelligence layer.
The goal is not to duplicate what MoTeC, AiM, and other systems already do well. The goal is to connect that data with the rest of the racing program.
Data-system support
- Supported today: MoTeC
- Supported today: AiM
- Planned: GEMS
- Planned: Marelli
Support may vary by export format and the fields available in the source data.
Start With the Data You Already Have
1. Export
Export session and lap data from MoTeC or AiM using your existing workflow.
2. Build Context
Add driver, car, setup, track, weather, notes, video, radio, tasks, and other relevant evidence.
3. Solve Problems
Work interactively with the AI or launch deeper investigations across laps, sessions, drivers, and cars.
Every Session Should Make Your Program Smarter
Studio preserves the lessons, setups, investigations, coaching, evidence, and decisions that usually disappear between race weekends. Over time, your racing program builds a permanent intelligence advantage.
Turn Racing Data Into Better Decisions
Start with one driver and one car, scale to an entire team, and add LIVE or Radio whenever your program needs real-time video and communication.