With the amount of new subnets being added it can be hard to get up to date information across all subnets, so data may be slightly out of date from time to time
With the amount of new subnets being added it can be hard to get up to date information across all subnets, so data may be slightly out of date from time to time
Tiger Alpha (Bittensor Subnet 107) is a decentralized AI-powered data subnet that continuously gathers, verifies, and publishes live crypto market and treasury data on-chain. In practice, Tiger Alpha’s AI “miner” agents generate financial data queries (e.g. asset prices, corporate holdings) and retrieve answers, which are then validated and anchored on the Bittensor blockchain. As documented, the subnet is designed as a company intelligence network: its validator node issues queries to miners for company financials and crypto holdings, then checks their responses against authoritative sources. The result is a real-time, verifiable on-chain data feed for analysts, treasury managers, and developers. In short, Tiger Alpha supplies real-time crypto market feeds and corporate treasury data via decentralized AI, ensuring all published data is verifiable on-chain.
Live price & holdings feeds: Agents continuously source and validate live crypto price and holdings information, then publish it on-chain. For example, the subnet can track Bitcoin holdings of major companies and report totals (as in the sample dashboard below).
Data anchoring: All data is anchored to the TAO blockchain, so end-users (e.g. analysts or protocols) can trust that the reported figures reflect on-chain consensus. The system uses a two-tier validation process (structural schema checks and external API checks) to ensure accuracy.
Decentralized AI research: Tiger Alpha functions as a “research subnet” on Bittensor. AI agents compete to answer queries (earning TAO rewards), and the network’s combined work produces a trustworthy data product. By decentralizing data collection, it avoids single points of failure or manipulation.
In summary, Tiger Alpha produces verified financial intelligence on-chain. It delivers curated, real-time market data (prices, capitalizations) and company treasury data via an open, AI-driven Bittensor subnet
Tiger Alpha (Bittensor Subnet 107) is a decentralized AI-powered data subnet that continuously gathers, verifies, and publishes live crypto market and treasury data on-chain. In practice, Tiger Alpha’s AI “miner” agents generate financial data queries (e.g. asset prices, corporate holdings) and retrieve answers, which are then validated and anchored on the Bittensor blockchain. As documented, the subnet is designed as a company intelligence network: its validator node issues queries to miners for company financials and crypto holdings, then checks their responses against authoritative sources. The result is a real-time, verifiable on-chain data feed for analysts, treasury managers, and developers. In short, Tiger Alpha supplies real-time crypto market feeds and corporate treasury data via decentralized AI, ensuring all published data is verifiable on-chain.
Live price & holdings feeds: Agents continuously source and validate live crypto price and holdings information, then publish it on-chain. For example, the subnet can track Bitcoin holdings of major companies and report totals (as in the sample dashboard below).
Data anchoring: All data is anchored to the TAO blockchain, so end-users (e.g. analysts or protocols) can trust that the reported figures reflect on-chain consensus. The system uses a two-tier validation process (structural schema checks and external API checks) to ensure accuracy.
Decentralized AI research: Tiger Alpha functions as a “research subnet” on Bittensor. AI agents compete to answer queries (earning TAO rewards), and the network’s combined work produces a trustworthy data product. By decentralizing data collection, it avoids single points of failure or manipulation.
In summary, Tiger Alpha produces verified financial intelligence on-chain. It delivers curated, real-time market data (prices, capitalizations) and company treasury data via an open, AI-driven Bittensor subnet
Tiger Alpha’s product is essentially the complete software infrastructure (validator node, AI agents, APIs, and dashboard interface) that powers the data subnet. It is delivered as an open-source codebase (on GitHub) with Docker support, and includes:
Validator & Miner Network: The core is a Bittensor validator node running Tiger Alpha’s logic, plus a set of AI “miners” (nodes) that answer its queries. Together they form a self-contained incentivized ecosystem on the TAO blockchain.
Data Engine Components: The code implements components like a Company Database (maintaining lists of tracked companies), a Query Generator (smart strategies for which data to fetch), and a Response Validator (two-tier checks of each miner’s answer).
HTTP API & Interface: A built-in HTTP API server exposes the subnet’s capabilities (so external clients can fetch data or ask queries). The GitHub repo also indicates plans for a web dashboard and user interface.
Key features: As documented, Tiger Alpha’s software offers intelligent query generation, dual (schema + API) validation of results, dynamic company data management, comprehensive monitoring, and the RESTful API interface noted above. In effect, the “build” is a fully integrated decentralized data pipeline – from generating questions to AI agents, validating their answers, and providing the results on-chain and via API.
The product is not a single device but this entire Bittensor-based data system. All code is publicly maintained (GitHub: tigerinvests-com/sn107-alpha) and packaged (Dockerfile, etc.), and it is anchored to its own TAO-denominated token economy (the Tiger Alpha “ALPHA” token) built into Bittensor. In use, the end result is a live data feed and web UI for users to query crypto and financial metrics derived by decentralized AI
Tiger Alpha’s product is essentially the complete software infrastructure (validator node, AI agents, APIs, and dashboard interface) that powers the data subnet. It is delivered as an open-source codebase (on GitHub) with Docker support, and includes:
Validator & Miner Network: The core is a Bittensor validator node running Tiger Alpha’s logic, plus a set of AI “miners” (nodes) that answer its queries. Together they form a self-contained incentivized ecosystem on the TAO blockchain.
Data Engine Components: The code implements components like a Company Database (maintaining lists of tracked companies), a Query Generator (smart strategies for which data to fetch), and a Response Validator (two-tier checks of each miner’s answer).
HTTP API & Interface: A built-in HTTP API server exposes the subnet’s capabilities (so external clients can fetch data or ask queries). The GitHub repo also indicates plans for a web dashboard and user interface.
Key features: As documented, Tiger Alpha’s software offers intelligent query generation, dual (schema + API) validation of results, dynamic company data management, comprehensive monitoring, and the RESTful API interface noted above. In effect, the “build” is a fully integrated decentralized data pipeline – from generating questions to AI agents, validating their answers, and providing the results on-chain and via API.
The product is not a single device but this entire Bittensor-based data system. All code is publicly maintained (GitHub: tigerinvests-com/sn107-alpha) and packaged (Dockerfile, etc.), and it is anchored to its own TAO-denominated token economy (the Tiger Alpha “ALPHA” token) built into Bittensor. In use, the end result is a live data feed and web UI for users to query crypto and financial metrics derived by decentralized AI
Tiger Alpha is built and owned by Tiger Royalties & Investments PLC (an AIM-listed investment company) in partnership with the Bittensor developers (TAO Alpha PLC/Tao Strategies). Key team members include:
Jonathan Bixby – CEO, Tiger Royalties & Investments: Bixby is the Chief Executive of Tiger Royalties, the investor backing Tiger Alpha. He has publicly commented on the subnet’s progress and performance. As CEO of Tiger Royalties, he leads the incubation of this AI/data project.
Matthew Lodge – CEO, TAO Alpha PLC: TAO Alpha (London-based tech firm behind the Bittensor network) is contracted to develop and operate Tiger Alpha. Lodge (TAO Alpha’s CEO) brings the Bittensor and blockchain expertise. (Under a strategic agreement, TAO Alpha handles Tiger Alpha’s development/operations in exchange for a share of the revenues.)
TAO Strategies (Singapore) – Technical Partner: TAO Strategies is the Singapore-based subsidiary of TAO Alpha that actually manages the subnet’s on-chain operations. This team maintains the validator, miner network, and node infrastructure under the Tiger Alpha project.
Development Team: The subnet’s software is developed by Tiger/TAO engineers (open-source on GitHub). The commit history shows contributions from Tiger’s development team (e.g. lead AI/developer Léo Mercier). Collectively the team includes blockchain engineers and AI researchers who implement the query and validation logic (see GitHub repo).
Together, the Tiger Royalties board and TAO Alpha/Tao Strategies staff collaborate on this project. Tiger Royalties provides funding and strategic direction, while TAO Alpha’s tech team provides the core network infrastructure and software development.
Tiger Alpha is built and owned by Tiger Royalties & Investments PLC (an AIM-listed investment company) in partnership with the Bittensor developers (TAO Alpha PLC/Tao Strategies). Key team members include:
Jonathan Bixby – CEO, Tiger Royalties & Investments: Bixby is the Chief Executive of Tiger Royalties, the investor backing Tiger Alpha. He has publicly commented on the subnet’s progress and performance. As CEO of Tiger Royalties, he leads the incubation of this AI/data project.
Matthew Lodge – CEO, TAO Alpha PLC: TAO Alpha (London-based tech firm behind the Bittensor network) is contracted to develop and operate Tiger Alpha. Lodge (TAO Alpha’s CEO) brings the Bittensor and blockchain expertise. (Under a strategic agreement, TAO Alpha handles Tiger Alpha’s development/operations in exchange for a share of the revenues.)
TAO Strategies (Singapore) – Technical Partner: TAO Strategies is the Singapore-based subsidiary of TAO Alpha that actually manages the subnet’s on-chain operations. This team maintains the validator, miner network, and node infrastructure under the Tiger Alpha project.
Development Team: The subnet’s software is developed by Tiger/TAO engineers (open-source on GitHub). The commit history shows contributions from Tiger’s development team (e.g. lead AI/developer Léo Mercier). Collectively the team includes blockchain engineers and AI researchers who implement the query and validation logic (see GitHub repo).
Together, the Tiger Royalties board and TAO Alpha/Tao Strategies staff collaborate on this project. Tiger Royalties provides funding and strategic direction, while TAO Alpha’s tech team provides the core network infrastructure and software development.
Tiger Royalties has outlined the following near-term plans for Tiger Alpha:
Scale Up Emissions: Tiger Alpha has been ramping up its data output and TAO rewards. As of late June 2025 it was averaging 20.75 TAO/day (~$7,000/day). The company will continue optimizing the subnet to maintain or grow that rate.
Launch Tiger Beta: The next major milestone is Tiger Beta (a second subnet). Tiger Royalties announced that Beta goes live on 30 June 2025. Beta is built on the lessons from Alpha and is expected to expand protocol fee capture and TAO emissions beyond Alpha’s levels.
Leverage Scarcity: With Bittensor closing registration for new subnets, existing ones like Alpha (and upcoming Beta) become scarce assets. Tiger Royalties plans to capitalize on this “closed registry” environment to enhance the value of its subnets.
Product Enhancements: In parallel, the team is developing user-facing tools (e.g. the dashboard and APIs) to make the data accessible. The GitHub roadmap shows a video demo and “dashboard – coming soon”. We can expect iterative software upgrades (e.g. adding new data sources or analytics features) following Alpha’s launch.
Long-term Vision: Tiger Royalties’ strategy is to reinvest subnet earnings into staking/expansion and to incubate additional AI subnets (Beta is one example). The company has signaled it will continue building decentralized AI infrastructure (their CEO called the subnets “income-generating assets at the heart of Bittensor’s data economy”).
In summary, the immediate roadmap focuses on launching and scaling Tiger Beta and enhancing Tiger Alpha’s system, while using the fixed subnet supply to create value. Future updates will depend on Bittensor network developments (e.g. halving events) and on how the AI market evolves. All announced milestones (Alpha’s growth and Beta’s launch) come from official RNS filings, ensuring the roadmap reflects concrete plans rather than speculation.
Tiger Royalties has outlined the following near-term plans for Tiger Alpha:
Scale Up Emissions: Tiger Alpha has been ramping up its data output and TAO rewards. As of late June 2025 it was averaging 20.75 TAO/day (~$7,000/day). The company will continue optimizing the subnet to maintain or grow that rate.
Launch Tiger Beta: The next major milestone is Tiger Beta (a second subnet). Tiger Royalties announced that Beta goes live on 30 June 2025. Beta is built on the lessons from Alpha and is expected to expand protocol fee capture and TAO emissions beyond Alpha’s levels.
Leverage Scarcity: With Bittensor closing registration for new subnets, existing ones like Alpha (and upcoming Beta) become scarce assets. Tiger Royalties plans to capitalize on this “closed registry” environment to enhance the value of its subnets.
Product Enhancements: In parallel, the team is developing user-facing tools (e.g. the dashboard and APIs) to make the data accessible. The GitHub roadmap shows a video demo and “dashboard – coming soon”. We can expect iterative software upgrades (e.g. adding new data sources or analytics features) following Alpha’s launch.
Long-term Vision: Tiger Royalties’ strategy is to reinvest subnet earnings into staking/expansion and to incubate additional AI subnets (Beta is one example). The company has signaled it will continue building decentralized AI infrastructure (their CEO called the subnets “income-generating assets at the heart of Bittensor’s data economy”).
In summary, the immediate roadmap focuses on launching and scaling Tiger Beta and enhancing Tiger Alpha’s system, while using the fixed subnet supply to create value. Future updates will depend on Bittensor network developments (e.g. halving events) and on how the AI market evolves. All announced milestones (Alpha’s growth and Beta’s launch) come from official RNS filings, ensuring the roadmap reflects concrete plans rather than speculation.
🚨 Investment Update
We’ve invested £250,000 in Standard Strategies Inc. (CSE: SBTC), acquiring a 26.39% stake.
They’re the first public company globally to focus on a Bitcoin treasury portfolio strategy – with exposure to MicroStrategy, Metaplanet & more.
Full release:…
After successful incubation, we’ve invested £250k into http://AROK.VC - an innovative AI Agent in crypto investment - making Tiger http://AROK.VC’s first institutional investor.
https://www.londonstockexchange.com/news-article/TIR/ps250k-strategic-investment-into-arok-vc/17058738
ANNOUNCEMENT: We've acquired our own dedicated Subnet on the Bittensor network, advancing our decentralized-AI crypto strategy.
This provides our unique incentive mechanism and token: Tiger Alpha!
"Buying a Bittensor subnet today is like purchasing a building on Fifth Avenue…
COMPLETED: £250,000 strategic investment in Tao Strategies Singapore.
This investment will scale operations, strengthen AI infrastructure, and enhance their AI model.
Firmly establishing our position as a growing leader in the decentralized AI space.
Read more:…
Amid growing skepticism that #memecoins are just celebrity pump & dumps, how can the industry demonstrate real utility?
Tiger's exec director Jonathan Bixby argues developers must integrate AI agents into their projects.
Read more:
AI agents hold the keys to the memecoin renaissance | Opinion
The next phase of memecoins shouldn’t be defined by celebrity-manufactured momentum—it should be driven by AI, argues Jonathan Bixby
Tiger’s executive director, Jonathan Bixby, comments that despite an immediate drop in share price, GameStop’s shareholder base will remain strong. In the long term, this move will drive growth, and GameStop’s strategy will pay off. 📈
Read the article by @OsatoNomayo
#Bitcoin…
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https://www.dlnews.com/articles/markets/gamestop-plans-15b-usd-bitcoin-stockpile-just-like-saylor/?utm_source=twitter&utm_medium=organic_social&utm_campaign=
