Pixellot
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About
Pixellot provides a comprehensive AI-automated sports production and analytics platform designed to capture and stream live games at scale. By utilizing fixed and portable camera arrays integrated with proprietary software, the system removes the need for traditional camera crews and manual editing. The technology is built to handle the entire lifecycle of a sporting event, from initial capture and production to global distribution via over-the-top (OTT) platforms and detailed data analysis. The platform has been deployed in over 80 countries and has processed millions of games across various athletic levels. The system functions by using artificial intelligence and machine learning algorithms specifically tuned to recognize the patterns and movement of 19 different types of sports. As the action unfolds, the AI automatically tracks players and the ball, zooming and panning to provide a broadcast-quality viewing experience. Beyond simple video capture, the platform includes the VidSwap analytics suite, which generates automated game breakdowns, shot charts, and heatmaps, allowing coaches and players to review performance metrics and strategic insights shortly after a game ends. This enables high-quality video coverage at a fraction of the cost of traditional manual production. This tool is primarily utilized by sports organizations, federations, and educational institutions ranging from local youth leagues to professional bodies like the MLB and various international football associations. It is particularly effective for organizations that manage multiple fields or high volumes of games where manual production would be cost-prohibitive. For US-based high schools, the platform integrates with the NFHS Network to provide a streamlined solution for broadcasting school sports to families, scouts, and alumni without requiring on-site camera operators. What distinguishes Pixellot from traditional broadcasting services is its "Camera-as-a-Service" model and its end-to-end ecosystem. While many competitors offer either hardware or streaming software separately, Pixellot provides a modular solution that encompasses everything from physical AI-camera hardware (such as the portable Pixellot Air or the fixed Show S3) to a fully customizable white-label OTT platform for content monetization. This approach ensures a consistent production quality across diverse environments and lighting conditions while facilitating detailed data breakdown through its integrated VidSwap acquisition.
Pros & Cons
Supports specialized AI tracking for 19 different sports types with high accuracy.
Provides a complete end-to-end solution from automated filming to white-label OTT distribution.
Automated production removes the need for expensive manual camera crews and editing teams.
Integrated VidSwap suite delivers advanced metrics like heatmaps and shot charts for coaches.
Proven reliability with over five million games produced across eighty different countries.
Fixed hardware systems like Pixellot Show S3 require permanent on-site installation.
Broadcast reliability is dependent on the quality of the venue's local network upload speed.
Full access to advanced data and OTT monetization typically requires a custom enterprise quote.
Proprietary hardware requirements may limit users who want to use their own existing camera gear.
Use Cases
High school athletic directors can automate the broadcast of every home game to the NFHS Network without hiring production staff.
Professional coaching staffs can use the VidSwap integration to generate automated shot charts and heatmaps for strategic post-game reviews.
Youth sports leagues can provide a professional OTT streaming experience for parents and fans to watch games live or on-demand.
Media companies can scale their coverage of niche sports by using the automated production model to reduce per-game costs.
Individual athletes can utilize the automatic highlights feature to quickly gather footage for recruitment reels and social media sharing.
Platform
Features
• hd video compression
• portable camera arrays
• white-label distribution
• multi-sport ai tracking
• vidswap game analytics
• automatic highlight service
• live ott streaming
• ai-automated production
FAQs
How many types of sports can Pixellot capture?
The system features AI software and machine learning specifically tuned to produce 19 different types of sports, including soccer, basketball, ice hockey, and baseball.
What is VidSwap and how does it integrate with the system?
VidSwap is an integrated sports analytics company that provides automated game breakdowns, in-depth stats, shot charts, and heatmaps for coaching and player improvement.
Does Pixellot offer a portable camera option?
Yes, the Pixellot Air is a portable camera system designed for clubs and teams that allows for high-level filming at various locations without a fixed installation.
What is included in the end-to-end solution?
The platform offers a complete workflow including automated filming, production, broadcasting via a white-label OTT platform, and detailed data analytics.
Pricing Plans
Camera-as-a-Service
Unknown Price• AI-automated production
• White-label OTT platform
• VidSwap analytics integration
• Automatic highlight generation
• Remote production capabilities
• Support for 19 sports types
NFHS Coaching Platform
Free Plan• Free coaching tools
• Video analysis for teams
• Performance improvement features
• Available for high schools
Job Opportunities
Regional Commercial Partnerships Manager
Stream and analyze every game automatically with AI-powered cameras that capture professional-grade sports footage and highlights for teams of all levels.
Benefits:
Be part of a passionate, global team
Work in a collaborative, innovative culture
Enjoy autonomy to make a difference
Support of top-notch teammates
Shape the way the world watches and learns sports
Experience Requirements:
5+ years of proven success in sales and/or business development
A strong network and deep understanding of the Australia and New Zealand sports ecosystem
A consistent track record of meeting or exceeding goals
Experience working with CRM systems
Other Requirements:
Strategic thinking and the ability to work independently
Excellent presentation and communication skills
A proactive, hands-on attitude
Tech-savvy mindset
Experience selling to the education sector in Australia or New Zealand
Responsibilities:
Identify, develop, and manage strategic partnerships with sports leagues and associations
Build long-term relationships that drive adoption and recurring revenue
Execute commercial agreements and own the full partner lifecycle
Collaborate cross-functionally with global sales, marketing, and product teams
Represent Pixellot’s brand in the Australia and New Zealand market
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Regional Operations Manager
Stream and analyze every game automatically with AI-powered cameras that capture professional-grade sports footage and highlights for teams of all levels.
Benefits:
Be part of a passionate, global team
Work in a collaborative, innovative culture
Enjoy autonomy to make a difference
Support of top-notch teammates
Shape the way the world watches and learns sports
Experience Requirements:
5+ years of proven success in logistics or operations management
A deep understanding of the Australia and New Zealand sports ecosystem
Experience working with CRM systems
Tech-savvy mindset – experience working with tech or SaaS solutions
Other Requirements:
A methodical and strategic mindset to working at scale
Excellent presentation and communication skills
A proactive, hands-on attitude
Background in sports coaching, sports tech, analytics or broadcast
Responsibilities:
Work with partner sporting organizations to plan and lead camera installations
Develop key relationships with qualified installers
Identify, develop, and manage systems and processes for installation goals
Ensure installations are executed in accordance with manuals and agreements
Collaborate cross-functionally to ensure suitable stock levels
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AI Research Scientist (Student Position)
Stream and analyze every game automatically with AI-powered cameras that capture professional-grade sports footage and highlights for teams of all levels.
Benefits:
Be part of a pioneering company
Work on cutting-edge AI research
Opportunity for significant real-world impact
Join a team of top-tier AI researchers
Culture that values curiosity and continuous learning
Education Requirements:
Currently pursuing an M.Sc / PhD with thesis in a relevant STEM field
Experience Requirements:
At least 1 year remaining in your studies
Proven experience in Computer Vision
Strong understanding of deep learning
Excellent programming skills in Python
Hands-on experience with deep learning frameworks such as PyTorch
Other Requirements:
Availability to work 3 days per week on-site
Demonstrated ability for independent research
Hands-on mindset and motivation to work with data
Experience working with video data for tasks such as action recognition
Responsibilities:
Design, implement, and evaluate deep learning models
Contribute to the research lifecycle from review to proof-of-concept
Work hands-on with real-world video data analysis and preprocessing
Collaborate with senior researchers to translate ideas into solutions
Stay up to date with the latest advancements in computer vision
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