About Valkyrie
Founded in 2017 in Austin, Texas, Valkyrie is a dynamic services company that melds science with data to tackle challenges, drive transformative impact, and create value. The Valkyrie team is made up of scientists and strategists aiming to advance the field of data science and deliver custom machine learning capabilities to solve complex challenges and drive organizational impact. Valkyrie empowers clients to make informed decisions and thrive in a data-driven landscape, shaping the future and ushering in a brighter tomorrow where science and data intersect seamlessly.
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:
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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.
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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.
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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.
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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:
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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.
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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.
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Made Complex Analytics Intuitive: The team translated advanced data science outputs into simple, digestible visualizations that highlighted actionable insights instead of overwhelming users.
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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.
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Applied Advanced AI & ML Modeling: We processed raw telemetry and lap timing data with machine learning algorithms to identify patterns invisible to human analysis.
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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.
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Integrated Intuitive Data Visualizations: We created visual dashboards that surfaced trends in lap performance, speed variation, and consistency—turning abstract data into immediate insights.
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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
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Unlocked Actionable Performance Insights: Provided drivers with clear, visual feedback that revealed where time was lost or gained on the track.
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Enhanced Cross-race & Competitor Benchmarking: Enabled side-by-side comparisons across circuits, weather conditions, and rivals to identify strengths and weaknesses.
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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.
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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.
