# Partnership Offering for Demand-Side Partnerships As Cortensor prepares to expand its decentralized AI inference network, we are actively inviting potential demand-side partners to join us in testing and exploring our AI inference API endpoints. With the **closed alpha phase for mining and router nodes** underway, we plan to roll out the **closed alpha/private AI inference API endpoints** during **Q1-Q2 2025**. \ \ These endpoints will provide access to AI inference capabilities, and we aim to collaborate with partners who are willing to test, experiment, and provide valuable feedback on our decentralized platform. Eventually, these partners can seamlessly transition to using Cortensor’s infrastructure in their production systems when we launch the testnet and mainnet. *** ## **Partnership Structure and Benefits** ### **Collaboration Framework** * **Testing & Experimentation:**\ Partners will gain early access to our AI inference APIs, enabling them to explore decentralized AI inference in their workflows. This phase offers opportunities to experiment with our infrastructure and contribute to its refinement. * **Transition to Production:**\ Once Cortensor enters the testnet/mainnet phase, partners will be able to integrate our APIs into their production systems, enjoying all the benefits of decentralized AI. ### **Marketing Collaboration** * **Cross-Marketing Campaigns:**\ We offer partners cross-marketing opportunities to jointly promote the benefits of decentralized AI inference. * Partners should mention in their marketing and social media content that they are exploring and utilizing Cortensor’s decentralized AI inference APIs as an alternative to centralized solutions, such as OpenAI’s API. * Highlighting the transition from centralized AI to decentralized solutions will demonstrate a commitment to innovation and transparency. ### **Benefits of Using Cortensor’s AI APIs** * **Decentralized and Uncensored:**\ Unlike centralized AI platforms, Cortensor’s decentralized network ensures no single point of control or censorship, providing partners with greater autonomy and trust in their AI solutions. * **Choice and Flexibility:**\ The network supports various AI models, offering a range of choices to suit diverse needs over time. This flexibility is unmatched in centralized alternatives. * **Cost-Efficiency:**\ Powered by community-driven nodes, Cortensor’s inference services are more cost-effective compared to centralized providers. * **Proof of Inference (PoI) and Proof of Useful Work (PoUW):** * **PoI Validation:** Ensures output reliability and consistency across nodes. * **PoUW Verification:** Guarantees task relevance and quality through decentralized validation. These mechanisms enhance trust in AI outputs, a critical advantage for production use cases. *** ## **Partner Eligibility** 1. Companies or projects currently using centralized AI inference APIs, such as OpenAI or similar platforms. 2. Organizations interested in exploring decentralized alternatives for greater flexibility, cost-efficiency, and transparency. 3. Partners willing to collaborate on marketing efforts, promoting Cortensor as a decentralized solution for AI inference. *** ## **Why Partner with Cortensor?** By joining as a demand-side partner, you will: * Access early-stage innovation in decentralized AI inference. * Reduce dependency on centralized providers and associated risks. * Gain competitive advantages in cost, flexibility, and choice of models. * Be part of a groundbreaking shift toward decentralized AI, showcasing your commitment to innovation. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.cortensor.network/community-and-ecosystem/partnerships/partnership-offering-for-demand-side-partnerships.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.