Score PriceSN44

What is Score (SN44)?

Score (SN44), also known as Score Vision, is a decentralized computer vision framework built on the Bittensor network, where it operates as Subnet 44. Its initial application is Game State Recognition (GSR) for soccer and football video analysis, a strategic entry point into the massive football industry. The project aims to drastically reduce the cost and time required for complex video analysis by leveraging lightweight validation techniques and aligned incentives, making advanced computer vision accessible and scalable. Score Vision uses "tiny specialist" vision models under 30 MB, designed to process video frames for object detection and tracking in real time. The framework is intended to extend beyond sports into broader computer vision applications. SN44 functions as an alpha token on Bittensor, with a reported total supply of approximately 4.31 million tokens and a maximum supply of 21 million. The project has reached several milestones, including the release of Score Vision Whitepaper 1.2 and an alliance with PwC France for enterprise physical AI.

Key Specifications & Tokenomics

• Name: Score
• Ticker / Symbol: SN44
• Alternative names: Score Vision, Subnet 44, sn44
• Chain / Network: Bittensor (Subnet 44)
• Contract identifier: 44 (Bittensor)
• Category: AI & Big Data, Bittensor Ecosystem, Bittensor Subnets
• Token type: Alpha token
• Total supply: Approximately 4.31M SN44
• Max supply: 21,000,000 SN44
• Circulating supply: Approximately 4.31M SN44
• Official website: https://www.scorevision.io/
• Source code: https://github.com/score-technologies/score-vision
• Official X (Twitter): https://twitter.com/webuildscore
• Block explorer: taostats.io

Who created Score (SN44)?

Score (SN44) was founded by Max Sebti, Tim Kalic, and Nigel Grant, who serve as co-founders. Max Sebti is referenced as the founder behind Score, while Tim Kalic and Nigel Grant are named as co-founders in coverage of SN44's partnership with SN13's Data Universe. The project's team includes Peter Cotton as Chief Technology Officer, Nick Compton in business development and strategy, Matthew Cyzer as a Strategic Advisor at Manako Labs, and Arnaud Deffuant. Mateusz Poreda is referenced as co-founder and Rumi President. Score Technologies is described as the system architect, transforming structured match data from Subnet 44 into applied intelligence. Manako is the enterprise vision AI layer built on Score's Subnet 44.

How does Score (SN44) work?

Score Vision operates through a decentralized architecture involving three key roles. Miners receive video streams, and each frame undergoes processing for object detection and tracking, producing standardized outputs in real time. Validators then verify miners' outputs through filtered frame selection and hybrid scoring. Keypoints are assessed globally for stability and plausibility, while object detections undergo semantic verification, ensuring real-time, quality-aware feedback for network integrity. The Subnet Owner maintains system health, oversees dynamic adjustment of incentives based on performance, and optimizes system parameters for maximum efficiency. The core innovation is a lightweight validation approach that ensures accuracy while minimizing computational overhead, enabling rapid and cost-effective processing of complex visual data at scale. The validation mechanism is described as now 4x cheaper and more efficient following the latest upgrades detailed in Whitepaper 1.2.

What makes Score (SN44) unique and valuable?

Score Vision addresses a significant market challenge: traditional sports video analysis is prohibitively expensive, with manual annotation costing between $10 and $55 per minute and complex scenarios demanding up to four hours of human labeling per minute of footage. Score Vision aims to reduce these costs by 10x to 100x while dramatically improving speed and accuracy. The project's lightweight validation technique sets it apart by enabling real-time, cost-effective processing without sacrificing quality. Its initial focus on football analytics targets a $600 billion industry, including $50 billion in betting and $30 billion in data services. The framework's design allows it to extend beyond sports into broader computer vision applications, positioning it as a versatile solution for industries dependent on real-time video analysis. The technology has allowed Score to gather data far quicker than manual or traditional methods, providing real-time analytics and enhancing accuracy.

What is Score (SN44) used for?

SN44 serves as the native alpha token of Subnet 44 on Bittensor, used within the network's incentive mechanism to reward miners and validators for their contributions to video analysis tasks. The token facilitates the decentralized computer vision framework's operations, including the processing of video streams, object detection, tracking, and validation. Beyond network incentives, SN44 is traded on various platforms, with reported trading pairs including SN44/USD and SN44/TAO. The project's technology is applied to Game State Recognition in football, providing real-time analytics for professional clubs, broadcasters, betting operators, and analytics providers. Score Technologies transforms structured match data from Subnet 44 into applied intelligence, while Manako, the enterprise vision AI layer built on SN44, delivers physical AI solutions to enterprise clients.

How Is the Score (SN44) ecosystem developing?

The Score ecosystem is expanding through strategic partnerships and recognitions. Manako, powered by SN44 Score, won first place at Paris Blockchain Week's Start in Block 2026 competition. Score (SN44) and Manako formed an alliance with PwC France to bring physical AI to enterprise clients using Bittensor. SN44 has also partnered with SN13's Data Universe, with coverage referencing SN44's accuracy rate over time. Score co-founders shared their vision on how the computer vision Subnet SN44 works in collaboration with OpenTensor's Novelty Search. The project maintains an active presence across social channels, including X, GitHub, Medium, and LinkedIn, and has been featured in various media appearances and articles. The Score Vision Whitepaper 1.2 is live, detailing the latest upgrades to the subnet.

How to mine Score (SN44)?

Mining Score (SN44) involves participating as a miner on Bittensor Subnet 44. Miners receive video streams and process each frame for object detection and tracking, generating standardized outputs in real time. To get started, miners can refer to the Miner Setup section in the project's GitHub repository, which provides base code and configuration files. Validators play a complementary role by verifying miners' outputs through filtered frame selection and hybrid scoring, assessing keypoints for stability and plausibility and performing semantic verification of object detections. The Subnet Owner dynamically adjusts incentives based on performance to optimize system efficiency. Detailed setup instructions, including Docker configurations and environment examples, are available in the repository to assist participants in joining the network.

How to keep your Score (SN44) Coin safe?

Keeping your Score (SN44) tokens safe requires following standard cryptocurrency security practices. Use a reputable wallet that supports Bittensor-based assets and always verify transaction details before confirming. Store private keys and seed phrases securely offline, never sharing them with anyone. Be cautious of phishing attempts and only interact with official channels, including the project's verified website and social media accounts. Since SN44 is traded on various platforms, ensure you use trusted exchanges and enable two-factor authentication where available. Remember that cryptocurrency investments carry significant market risk, including extreme volatility and potential loss of capital. Always conduct thorough research and consider consulting professional advisors before making investment decisions.