Nous Research Project Profile

Nous Research is a decentralized AI research institute dedicated to integrating open-source AI models with blockchain technology. Its work involves developing high-performance language models, AI orchestration platforms, and a Solana-based decentralized AI protocol. By leveraging smart contracts, it enables on-chain autonomy for model training, inference, and incentives. The technical stack includes large language model optimization, multi-agent simulation, and distributed computing networks, aiming to build a transparent and open AI ecosystem where developers, data contributors, and computing power providers can all participate and benefit. All projects are open-sourced and combine token economies with DAO governance to explore the democratization of AI.

Nous Research Team

• Emozilla: Co-founder and CEO, an AI researcher leading the company’s strategy and core technology development, driving cutting-edge AI exploration and commercialization.

• Jai: Founder and core contributor to the technical architecture, responsible for early system development and engineering implementation, establishing the team’s technical foundation.

• Shivani: Co-founder and Managing Director of Shiro San Fund, with a dual degree in art and biology, her interdisciplinary background fuels innovation. She leads fund operations and resource integration.

• Mephisto: Co-founder and head of behavior, focusing on AI ethics and user behavior research, building the team’s culture and value system.

• Teknium: Co-founder and head of job training, formerly from Stability AI, leads the technical talent training system design, deepening experience in generative AI.

Nous Research Funding

In January 2024, Nous Research secured $5.2M in seed funding, led by Distributed Global and Open Source Software Capital, with participation from Balaji Srinivasan, Alex Atallah, Yonatan Ben Shimon, Thibaud Elziere, and others.

On April 25, 2025, it completed a $50M Series A round led by Paradigm, valuing the project at $1B.

Core Features of Nous Research

• Open Collaboration: All models and tools are fully open-sourced, encouraging community contributions and promoting AI democratization through transparent development, avoiding technology monopolies.

• High-Performance Models: Focuses on optimizing long contexts and complex inferences, supporting processing of 32K+ tokens, matching the performance of commercial closed-source models.

• On-Chain Integration: Built on Solana, it enables on-chain autonomy and value distribution for AI training, inference, and incentives.

• Modular Platform: Offers scalable toolchains like Nous-Forge, supporting rapid deployment of customized AI agents and distributed workflows.

Future Outlook for Nous Research

Nous Research will continue to advance the decentralized AI ecosystem by integrating open-source models, blockchain technology, and community governance. It aims to create more transparent and efficient next-generation AI infrastructure. Future plans include deepening high-performance language model development, expanding cross-chain AI collaboration networks, and building a sustainable incentive system. This will allow global developers, researchers, and contributors to collectively shape an open AI future.

Nous Research Project Profile

Nous Research is a decentralized AI research institute dedicated to integrating open-source AI models with blockchain technology. Its work involves developing high-performance language models, AI orchestration platforms, and a Solana-based decentralized AI protocol. By leveraging smart contracts, it enables on-chain autonomy for model training, inference, and incentives. The technical stack includes large language model optimization, multi-agent simulation, and distributed computing networks, aiming to build a transparent and open AI ecosystem where developers, data contributors, and computing power providers can all participate and benefit. All projects are open-sourced and combine token economies with DAO governance to explore the democratization of AI.

Nous Research Team

• Emozilla: Co-founder and CEO, an AI researcher leading the company’s strategy and core technology development, driving cutting-edge AI exploration and commercialization.

• Jai: Founder and core contributor to the technical architecture, responsible for early system development and engineering implementation, establishing the team’s technical foundation.

• Shivani: Co-founder and Managing Director of Shiro San Fund, with a dual degree in art and biology, her interdisciplinary background fuels innovation. She leads fund operations and resource integration.

• Mephisto: Co-founder and head of behavior, focusing on AI ethics and user behavior research, building the team’s culture and value system.

• Teknium: Co-founder and head of job training, formerly from Stability AI, leads the technical talent training system design, deepening experience in generative AI.

Nous Research Funding

In January 2024, Nous Research secured $5.2M in seed funding, led by Distributed Global and Open Source Software Capital, with participation from Balaji Srinivasan, Alex Atallah, Yonatan Ben Shimon, Thibaud Elziere, and others.

On April 25, 2025, it completed a $50M Series A round led by Paradigm, valuing the project at $1B.

Core Features of Nous Research

• Open Collaboration: All models and tools are fully open-sourced, encouraging community contributions and promoting AI democratization through transparent development, avoiding technology monopolies.

• High-Performance Models: Focuses on optimizing long contexts and complex inferences, supporting processing of 32K+ tokens, matching the performance of commercial closed-source models.

• On-Chain Integration: Built on Solana, it enables on-chain autonomy and value distribution for AI training, inference, and incentives.

• Modular Platform: Offers scalable toolchains like Nous-Forge, supporting rapid deployment of customized AI agents and distributed workflows.

Future Outlook for Nous Research

Nous Research will continue to advance the decentralized AI ecosystem by integrating open-source models, blockchain technology, and community governance. It aims to create more transparent and efficient next-generation AI infrastructure. Future plans include deepening high-performance language model development, expanding cross-chain AI collaboration networks, and building a sustainable incentive system. This will allow global developers, researchers, and contributors to collectively shape an open AI future.