Overview
Source material collected from public Tensorplex domains and docs. Summary: Tensorplex Labs builds open-source, decentralized AI infrastructure that combines AI model development with blockchain/DeFi primitives (staking, bridges, tokenized incentives) to support decentralized model training, human feedback pipelines and developer rails. Site/docs emphasize integrations with Bittensor, liquid staking for TAO (stTAO), cross-chain bridging (TAO ↔ tTAO), the Dojo subnet for crowdsourced human intelligence and validation pipelines, and research work on PEFT, checkpoint merging, and specialized LLMs. Notable research and product notes from the collected pages: blog post DOJO-INTERFACE-CODER-7B (2025-07-03) describing a 7B LLM specialized for frontend generation; references to Sumo-T9-7B as a high-performing model; Dojo subnet docs (including modular pipelines, roles, and validation mechanisms); TAO Bridge docs describing bridging TAO from Bittensor Finney to Ethereum (tTAO); and a live stake product at stake.tensorplex.ai supporting wrapping TAO to tTAO and issuing stTAO (liquid staking token). Findings about availability and gaps: the public pricing page (https://www.tensorplex.ai/pricing) returned 404 and no public pricing plans or free-trial information were found; no clear site-disclosed contact or support email was located (primary visible channels are social and GitHub); some public pages returned 404 while official docs and the stake site were more complete. Dates and provenance in collected content span 2024–2025 (examples: Dojo docs update noted 2025-09-17 in the collected docs; DOJO-INTERFACE-CODER-7B blog dated 2025-07-03). Recommendations extracted from the collected material: contact via LinkedIn/X or open an issue on the GitHub repo to request commercial/pricing terms; review stake.tensorplex.ai FAQ and transparency pages and verify smart contract addresses and audits on-chain before depositing funds; clone/fork the Dojo GitHub and follow docs for validator/miner instructions for developer integration; reference blog posts and open issues for research/model collaboration. Security note from docs: verify all links and on-chain addresses; docs include an explicit security/disclaimer urging verification. This detailed description is based only on publicly-available pages and links collected and does not add or invent claims beyond those pages.
Key Features
Decentralized AI infrastructure
Combines AI model development with blockchain/DeFi primitives to enable decentralized model training and incentive structures (as described in site/docs).
Bittensor integrations
References to Bittensor and Finney subnet usage, including Dojo subnet integration and TAO token flows.
Liquid staking (stTAO) and bridge (tTAO)
Stake site (stake.tensorplex.ai) enables wrapping TAO to tTAO and issuing stTAO; includes FAQ, bridge UI, farm and transparency pages.
Dojo subnet (crowdsourced human intelligence)
Dojo Subnet docs describe modular pipelines, validation mechanisms, and participant roles (validators/miners/contributors) for collecting high-quality human feedback for model training/validation.
Research on PEFT and model adaptation
Docs and blog posts reference PEFT, checkpoint merging, Sumo-T9-7B model mentions, and model-specialization efforts (e.g., frontend-specialized LLMs).
Open-source repositories
GitHub repository (tensorplex-labs/dojo) is referenced by docs as the central Dojo codebase.
Who Can Use This Tool?
- Developers:Use Dojo subnet docs and GitHub to run validators/miners, integrate with decentralized model training and pipelines.
- Researchers:Reference blog posts and docs (PEFT, checkpoint merging, model experiments) for collaboration and replication.
- Crypto users / stakers:Use stake.tensorplex.ai to wrap TAO to tTAO and obtain stTAO; review FAQ/transparency and verify contracts/audits before depositing.
Pricing Plans
Pricing information is not available yet.
Pros & Cons
✓ Pros
- ✓Open-source code and docs referenced (GitHub dojo repo).
- ✓Live staking/bridge product available at stake.tensorplex.ai with FAQ and transparency pages.
- ✓Clear focus on integrating decentralized incentives with AI model development and human feedback pipelines.
- ✓Dojo subnet docs layout modular pipelines and participant roles for validation and data collection.
- ✓Research and model mentions (PEFT, Sumo-T9-7B, DOJO-INTERFACE-CODER-7B) with dated blog/docs entries (2024–2025).
✗ Cons
- ✗Public pricing page returned 404; no publicly-available pricing plans or free trial information was found.
- ✗No clear contact/support email discovered on the main site; social links and GitHub are primary visible channels.
- ✗Some site pages (features, pricing) returned 404; completeness varies across the site.
- ✗Security guidance advises verification of links and on-chain addresses, indicating extra diligence required before financial interactions.
Compare with Alternatives
| Feature | Tensorplex Labs | PublicAI | Prime Intellect |
|---|---|---|---|
| Pricing | N/A | N/A | N/A |
| Rating | 8.3/10 | 8.0/10 | 8.3/10 |
| Decentralization Model | Yes | Yes | Yes |
| Compute Marketplace | No | No | Yes |
| Staking & Tokenomics | Yes | Yes | No |
| Human-in-Loop | Yes | Yes | No |
| Model Adaptation | Yes | Partial | Yes |
| Cross-Chain Interop | Yes | No | No |
| Open Research | Yes | No | Yes |
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