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- # NEAR AI is a research and product lab building user-owned AI. Founded by Illia Polosukhin, co-author of *Attention Is All You Need*, NEAR AI develops private, verifiable infrastructure for models and secure agents.
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- ## NEAR AI Cloud provides OpenAI-compatible inference for leading open-weight models running inside confidential hardware, with cryptographic attestation and independently verifiable execution.
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- [Models](https://cloud.near.ai/models) [Documentation](https://docs.near.ai/) [Verification](https://docs.near.ai/cloud/verification) [Status](https://status.near.ai/)
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- ## IronClaw is an open-source, security-first platform for building private and extensible AI agents.
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- [GitHub](https://github.com/nearai/ironclaw)
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- ## Research
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- [Proof of Response](https://arxiv.org/abs/2502.10637)
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- [Decentralized Confidential Machine Learning](https://raw.githubusercontent.com/nearai/por/refs/heads/main/DecentralizedConfidentialMachineLearning.pdf)
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  ## Benchmarks
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- [View benchmark results](https://nearai.github.io/benchmarks/)
 
 
 
 
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  ## Open Source
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- [NEAR AI GitHub](https://github.com/nearai)
 
 
 
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+ ## Research
 
 
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+ NEAR AI research explores how confidential computing, cryptographic verification, and decentralized infrastructure can support private, user-owned AI.
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+ ### [Proof of Response](https://arxiv.org/abs/2502.10637)
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+ A framework for proving that decentralized systems and agents produced a specific response within a verifiable execution window.
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+ ### [Decentralized Confidential Machine Learning](https://raw.githubusercontent.com/nearai/por/refs/heads/main/DecentralizedConfidentialMachineLearning.pdf)
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+ A technical vision for training and running AI across distributed infrastructure while preserving confidentiality and verifiability.
 
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  ## Benchmarks
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+ NEAR AI publishes reproducible evaluations of models and agents across real-world tasks, including coding, tool use, document workflows, and multi-step execution.
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+ ### [Explore NEAR AI Benchmark Results](https://nearai.github.io/benchmarks/)
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+ Compare model and agent performance across public benchmarks, inspect individual runs, and see how implementations perform on practical tasks.
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  ## Open Source
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+ ### [Explore NEAR AI on GitHub](https://github.com/nearai)
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+ Browse the open-source infrastructure, agent systems, verification tools, and research projects behind NEAR AI.