M2 Competition
- Races Won in Season
- 6Races Won in Season
- Championship Position
- 1stChampionship Position
- Laps Analysed
- 2k+Laps Analysed
- Sessions
- 40+Sessions
About M2 Competition
M2 Competition is an elite motorsport team operating across New Zealand and Europe, with a 16-year legacy at the highest levels of junior single-seater racing. Best known for its Formula 3 programs and its long-standing presence at the New Zealand Grand Prix, M2 has built a reputation for identifying and developing world-class talent. Alumni in recent seasons include Formula 1 drivers such as Lando Norris, Lance Stroll, Yuki Tsunoda, Liam Lawson, and Arvid Lindblad.
The Challenge
M2 wanted to significantly elevate the way its engineers and drivers accessed and interpreted performance data. However, the environment posed several constraints. Real-time vehicle telemetry and live timing feeds were either unavailable or unreliable, and circuit-level Wi-Fi connectivity was inconsistent at best. Despite these limitations, expectations were exceptionally high. M2’s pedigree attracts some of the most promising drivers in global motorsport, and the tools supporting them needed to match that level of professionalism and precision. Historically, session data was managed through complex spreadsheets, while onboard footage was manually reviewed, clipped, and analysed late into the night a process that was time-intensive, error-prone, and difficult to scale across sessions.
- 01Real-time telemetry and live timing feeds were limited or unreliable
- 02Circuit-level Wi-Fi connectivity was inconsistent
- 03Session data depended heavily on complex spreadsheets
- 04Onboard footage required time-consuming manual review and clipping
- 05Engineers needed faster access to clear, actionable performance insights
Automated Onboard Footage
Using the extracted lap and sector data, the system automatically clipped and aligned onboard video footage by sector. This enabled engineers and drivers to review a perfectly stitched theoretical lap.
AI Sequence
The AI layer analysed lap-by-lap performance data to automatically identify tyre compounds and usage sequences across the entire grid.
AI PDF Reader
Moonward built an AI-powered PDF ingestion system that allowed engineers to upload official session timing PDFs covering the entire grid. The system automatically parsed, structured, and converted raw timing sheets into rich, queryable data sets.
Theoretical Laps
By aggregating sector bests across sessions, the platform automatically generated theoretical best lap times. Engineers could instantly identify where time was being gained or lost.
Extensive Data
The platform centralised a comprehensive set of performance insights, transforming raw timing sheets into actionable intelligence.
Our Approach
Moonward designed and built a fully integrated, end-to-end data analysis platform tailored specifically to M2 Competition's operational reality. The system was engineered to function without live telemetry, instead extracting maximum value from timing data and onboard footage, turning constraints into competitive leverage. At the core was a custom AI-driven PDF reader that ingested full-grid lap and sector data and structured it for deep analysis. From this foundation, the platform automatically surfaced insights including: Driver theoretical best laps, Session theoretical best laps, Gap-to-car-in-front analysis, Onboard footage auto clipping, Lap sequence breakdowns, Lap and sector time comparisons, Lap-versus-lap analysis, Tyre strategy trends across sessions, Lap time performance versus time of day, Relative driver and car rankings and Visual lap heat maps. All insights were delivered through a single, cohesive interface designed for rapid decision-making at the circuit.
Impact
Within a short delivery window, Moonward shipped the complete platform in time for M2’s 2026 campaign, with the system going live in the first week of January. The software was immediately adopted by M2’s engineers, data analysts, and drivers as a core part of their race-weekend workflow. The 2026 CTFROT season proved to be one of the most competitive in recent history, with the top ten cars frequently separated by mere fractions of a second. Despite the razor-thin margins, M2 Competition finished the season in dominant fashion, securing both 1st and 2nd place in the drivers' standings and claiming the Constructors' Championship.
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