This post is part of a series covering the performance focused SportTech companies. You can view the full interactive map with more than 50 startups here.
This landscape highlights how software, hardware and AI are reshaping the way athletes train, how coaches work, and how clubs operate.
Sports Data Infrastructure and Integrations
What this category is about:
This category gathers enabling technologies that power solutions in the ecosystem. Includes athlete data platforms, data aggregation layers, integration APIs and AI engines used by other sport tech companies.
Trends shaping this category:
- The ecosystem is moving from siloed tools toward unified data layers. Teams and vendors want a single place where performance data, video, medical information and training logs can flow together, which drives demand for aggregation platforms and integration APIs.
- As more devices and software produce data, interoperability becomes key. Startups differentiate by offering clean APIs, automated syncing and data models that let clubs connect hardware, coaching tools and analytics engines without manual work.
- AI models need structured and high quality inputs. This pushes companies to invest in pipelines that clean, label and standardise data so that downstream products, like video analysis or injury prediction tools, can operate reliably.
- Leagues and federations start to understand the strategic value of owning their data infrastructure. They explore centralised platforms to manage broadcast data, officiating, fan engagement and team analytics, creating new opportunities for vendors.7 Startups Providing Sports Data Infrastructure and Integrations
7 Startups Providing Sports Data Infrastructure and Integrations
⚽️ Football – 🇪🇺 Europe – 🇮🇹 Ita – Computer Vision – Data Provider – Performance Analytics
What they do:
- The platform centralises football club operations by bringing data, video analysis, scouting and training management into one environment.
- AI tools process match and training footage to generate reports, automated highlights and tactical insights for teams and individual players.
- A scouting module helps clubs evaluate players, structure recruitment workflows and compare talent across leagues.
- Medical tracking, rehab follow up and training planning can all be managed within the same system which streamlines staff coordination.
- The product serves professional, semi professional and youth clubs that want a single place to run their sporting and operational activities.
Company specificities:
- An all in one architecture reduces tool fragmentation and replaces multiple separate systems with a unified workflow.
- Strong customisation allows clubs to define their own analytical models, training structures and performance metrics.
- AI driven video analysis increases efficiency by reducing manual tagging and speeding up post match review.
- Support for clubs of many sizes helps democratise access to high level analysis and football operations infrastructure.
🇬🇧 UK – 🏀 Basketball – Data Provider
What they do:
- They build analytics tools for professional sports that use artificial intelligence and large datasets to turn raw information into practical insights.
- The platform supports data collection, tracking and visualisation for sports such as basketball and helps coaches monitor performance and trends.
- Their tools aim to close the gap between abundant data and useful knowledge so teams can make decisions based on evidence rather than intuition.
- The service offers accessible and user friendly interfaces so both teams and individual athletes can work with advanced analytics.
Company specificities:
- The platform focuses on transforming data into stories and clear guidance which gives coaches and analysts a more intuitive understanding of performance.
- Sport specific workflows support tasks such as comparing players, tracking progress and visualising key moments in a simple manner.
- Their use of artificial intelligence and spatial or positional analysis brings deeper insight than traditional statistics and helps evaluate tactics and movement patterns.
🇺🇸 US – 🏀 Basketball – 💵 Seed – Computer Vision – Performance Analytics
What they do:
- They deliver advanced basketball analytics that use computer vision and AI to transform video into detailed player tracking and shot evaluation.
- The platform assigns a shot quality score by considering elements such as shooter tendencies, defender positioning, shot type and court location.
- Their metrics focus on expected value so coaches, analysts and bettors can work with predictive insight instead of relying only on made or missed shots.
- Coverage spans NBA, WNBA and NCAA with both historical datasets and live analytics for pre game, in game and post game decisions.
Company specificities:
- The product evaluates shots based on context which gives a clearer picture of offensive quality than traditional box score numbers.
- Shot models include many variables per attempt which creates a strong predictive layer for both teams and analysts.
- Their data is used across coaching, media, fantasy sports and betting which places them at the intersection of performance analysis and fan engagement.
- They support large volumes of games with automated processing which creates a scalable and data rich analytics environment.
🇨🇦 Can – Computer Vision – Performance Analytics
What they do:
- They provide an AI platform that turns sports video into structured data such as player tracking, events, performance indicators and tactical insights.
- The service supports football, tennis, padel and other ball or racket sports and offers analytics for coaches, teams and players.
- Media and broadcasters can generate highlights and contextual sequences directly from match footage which improves storytelling and engagement.
- Equipment brands can use technique and movement data to offer personalised gear recommendations.
Company specificities:
- The system works from standard video which removes the need for wearables or specialised sensors.
- Technique evaluation includes biomechanical and positional insight which helps players compare their performance with benchmarks or professional standards.
- The product fits a wide range of users from professional teams to amateur players and media partners which creates flexibility across levels of sport.
- Integration is designed to work with existing camera setups and streaming pipelines which makes deployment simple and scalable.
🇺🇸 US – Computer Vision – Data Provider – Performance Analytics – Public
What they do:
- The company gathers, processes and distributes sports data and live statistics for leagues, media outlets, sportsbooks and other partners.
- It provides real time data feeds, odds services, analytics and video streams to betting operators through its betting technology products.
- Media organisations use its data APIs, visual tools and content services to enhance coverage and create richer storytelling for fans.
- Sports federations rely on its integrity services which monitor betting patterns and detect suspicious activity to protect competitions.
- Its coverage spans many sports and regions which creates a broad and scalable ecosystem for data and content delivery.
Company specificities:
- The portfolio blends sports data, media content and betting solutions in one integrated platform which gives customers a full service environment.
- Official partnerships with major leagues and competitions provide strong credibility and high quality live data.
- Integrity and anti fraud capabilities stand out due to specialised monitoring systems that help protect the fairness of sports events.
- Global scale and automation allow the company to deliver fast and reliable data for thousands of events which reduces the need for clients to build their own infrastructure.
🇪🇺 Europe – 🇬🇧 UK – 🏦 PE Owned – Data Provider – Performance Analytics
What they do:
- They collect and distribute real time and historical sports data and statistics for leagues, teams, media, broadcasters and betting operators.
- Coverage includes many sports and thousands of competitions with detailed event data, player metrics and tracking information.
- Clients access the data through feeds and APIs that deliver everything from simple scores to advanced analytics and predictive models.
- Media partners use the data to enrich broadcasts and digital content with visuals, context and deeper storytelling.
- Professional teams use the insights for performance analysis, tactical preparation, scouting and long term planning.
Company specificities:
- Their dataset is vast with global coverage and highly granular information collected across many sports.
- They blend human expertise with AI and computer vision which creates detailed event data and precise tracking metrics.
- The platform is modular so clients can adopt basic data packages or advanced analytics depending on their needs.
- Their data is trusted by top leagues, broadcasters and sportsbooks which makes them a core provider in the sports data ecosystem.
🇺🇸 US – Data Provider
What they do:
- They provide real time and historical sports data including results, schedules, standings, team information and detailed play by play events.
- Media companies, broadcasters and digital platforms use their data feeds and APIs to power live coverage, sports guides and engaging viewer experiences.
- Their tools support integration across web, mobile, smart TV and in car systems which helps platforms deliver consistent sports content everywhere.
- Analytics capabilities allow partners to track trends, build predictive insights and analyse athlete or team performance over time.
Company specificities:
- Their coverage spans many sports and competitions worldwide which makes the dataset broad and reliable for global platforms.
- A unified data structure covers all sports which simplifies integration and reduces complexity for clients operating across regions.
- Rich metadata such as images, team logos and descriptive elements enhances how sports content is presented to fans.
- The offering is modular so clients can adopt simple score feeds or advanced analytics layers depending on the product they want to build.