The Challenge
In motorsports, winning margins often come down to fractions of a second. To truly improve, drivers and teams must uncover the why behind those times: what happened on a specific corner, in changing conditions, or against particular competitors. Racing teams faced a clear need—a way to turn overwhelming streams of raw data into insights they could actually use to win. This included solving challenges for:
- Limited Visibility into Performance Patterns: Standard timing systems provided lap times, but they didn’t reveal deeper insights like consistency, cornering efficiency, or speed variations across sectors.
- Difficulty Comparing Across Races & Tracks: Each race generated mountains of data, yet there was no simple way to evaluate how a driver performed from one track to another, or against rivals on the same course.
- Overwhelming Data Without Context: Raw numbers were hard to interpret in real time. Teams lacked a clear, visual method to connect data points to on-track actions, making it difficult to coach drivers effectively.
- Lost Opportunities for Strategy Refinement: Without actionable analysis, small mistakes and inefficiencies went unnoticed—costing precious tenths of a second that often determine race outcomes.
Our Solution
VGV partnered with Valkyrie.ai to transform racing data into an intelligent, driver-first analytics platform. Rather than focusing on raw metrics, the solution delivered meaningful insights that drivers and teams could act on—bringing clarity to every lap and every turn. Together, we:
- Designed a Driver-Centric Application: Our team built a platform tailored to the real-world needs of drivers and race engineers, ensuring usability in high-pressure, trackside environments.
- Enabled Powerful Lap-by-Lap Comparisons: We created tools to easily evaluate performance across laps, races, and competitors—allowing drivers to pinpoint where they gained or lost time.
- Made Complex Analytics Intuitive: The team translated advanced data science outputs into simple, digestible visualizations that highlighted actionable insights instead of overwhelming users.
- Delivered a Scalable Foundation: We established a platform that could evolve alongside the team, supporting future data integrations and expanding beyond a single racing series.
How We Did It
The solution came to life through a deep collaboration between VGV’s product and engineering teams and Valkyrie.ai’s machine learning experts. As a united team, we married advanced analytics with elegant design to deliver a product that drivers could trust and understand in real time.
- Applied Advanced AI & ML Modeling: We processed raw telemetry and lap timing data with machine learning algorithms to identify patterns invisible to human analysis.
- Engineered with Flutter for Versatility: The team built the application in Flutter, ensuring cross-platform consistency and high performance both on mobile devices and trackside systems.
- Integrated Intuitive Data Visualizations: We created visual dashboards that surfaced trends in lap performance, speed variation, and consistency—turning abstract data into immediate insights.
- Collaborated Closely With Race Teams: Together, we worked side by side with drivers and engineers, iterating quickly to ensure the product matched the unique demands of a racing environment.
The Result
- Unlocked Actionable Performance Insights: Provided drivers with clear, visual feedback that revealed where time was lost or gained on the track.
- Enhanced Cross-race & Competitor Benchmarking: Enabled side-by-side comparisons across circuits, weather conditions, and rivals to identify strengths and weaknesses.
- Improved In-Race & Training Decision-Making: Gave coaches and drivers the ability to make smarter adjustments in real time and more targeted training plans off the track.
- Created a Repeatable & Scalable Solution: Built a platform that can be adopted by additional teams and racing organizations, extending impact beyond a single team’s success.
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