> For the complete documentation index, see [llms.txt](https://hackai.gitbook.io/hackai-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hackai.gitbook.io/hackai-docs/business-model-building-a-safer-ai-future/partnerships-and-ecosystem-expansion.md).

# Partnerships and Ecosystem Expansion

### In the Pipeline

This cohort includes partners with whom we are in active negotiations or have established preliminary collaborations, with formal agreements expected within the next twelve months. They are critical to HackAI’s early growth, product validation, and proof of real-world fit.

<table data-header-hidden><thead><tr><th width="170.649169921875"></th><th></th></tr></thead><tbody><tr><td><strong>ChainOpera AI</strong></td><td>A blockchain and protocol platform for co-owning and co-creating decentralized AI applications and agents.</td></tr><tr><td><strong>MyShell</strong></td><td>The first platform supporting the creation of AI and Web3-driven bots, allowing users to create and customize chatbots.</td></tr><tr><td><strong>KIP Protocol</strong></td><td>A decentralized AI framework founded by AI PhDs and veterans, enabling owners of AI applications, models, and knowledge bases to deploy, connect, and monetize their AI assets in Web3.</td></tr><tr><td><strong>Phala Network</strong></td><td>A next-generation cloud platform providing low-cost, user-friendly, trustless environments, offering zero-trust computing services to a wide range of developers.</td></tr><tr><td><strong>CARV</strong></td><td>Building the largest modular identity and data layer (IDL) for gaming, AI, and other fields, integrating over 900 games.</td></tr><tr><td><strong>Rivalz</strong></td><td>An abstract layer for the world of AI and AI agents, powered by dual-chain infrastructure from Dymension and Arbitrum.</td></tr><tr><td><strong>Inferix GPU</strong></td><td>An innovative platform for 3D rendering and AI inference using globally crowdsourced GPUs.</td></tr><tr><td><strong>IO.Net</strong></td><td>A decentralized GPU network providing unlimited computing power for machine learning applications.</td></tr></tbody></table>

### Future Targets

This cohort comprises strategic partners we intend to engage next or target in the medium term. Their participation will signal network maturity and consolidate HackAI’s path to market leadership.

<table data-header-hidden><thead><tr><th width="138.19305419921875"></th><th></th></tr></thead><tbody><tr><td><strong>BNB Chain</strong><br></td><td>EVM L1 with massive throughput and distribution, ideal for on-chain bounty payouts and reputation.</td></tr><tr><td><strong>Chainlink</strong></td><td>Decentralized oracle and attestation network for verifiable scoring, randomness, and payout triggers.</td></tr><tr><td><strong>Zama</strong></td><td>Open-source fully homomorphic encryption stack (TFHE) enabling privacy-preserving safety evaluation.</td></tr><tr><td><strong>Bittensor</strong></td><td>Decentralized ML network where subnets can specialize in red-teaming and reward high-signal outputs.</td></tr><tr><td><strong>HydroxAI</strong></td><td>AI safety and guardrail provider; prospective buyer of structured adversarial feedback and policy-enforcement datasets.</td></tr><tr><td><strong>Anthropic</strong></td><td>Safety-first frontier lab behind Claude; a natural consumer of high-signal red-team data and verifiable eval traces.</td></tr><tr><td><strong>OpenAI</strong></td><td>Frontier model and platform vendor; APIs and eval pipelines benefit from licensed jailbreak, bias, and hallucination corpora.</td></tr><tr><td><strong>Google</strong></td><td>Gemini and Vertex AI stack; enterprise rails to integrate safety datasets into training, evaluation, and governance.</td></tr><tr><td><strong>Meta</strong></td><td>Llama open-weight ecosystem with Responsible AI tooling; broad channel for standardized adversarial traces and guardrails.</td></tr><tr><td><strong>SSI (Ilya Sutskever)</strong></td><td>Safe Superintelligence Inc.; safety-driven research lab that requires cryptographically auditable “test evidence” and adversarial eval data.</td></tr></tbody></table>

> “HackAI aims to be the indispensable first step in every AI model training and safety certification workflow. Partnerships with industry leaders are essential to realizing this vision.”


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