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OpenMind AI

A leading research lab focused on developing safe and beneficial artificial general intelligence.

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AGI
Safety
Research
Machine Learning
Ethics

Founded

2018

Headquarters

San Francisco, CA

Employees

100-500

Total Funding

$1.2B

About OpenMind AI

OpenMind AI was founded in 2018 with a mission to ensure that artificial general intelligence (AGI) benefits all of humanity. The company brings together researchers from diverse backgrounds including machine learning, neuroscience, philosophy, and economics to tackle the complex challenges of creating safe and beneficial AI systems.

The company's research spans multiple areas, including reinforcement learning, natural language processing, computer vision, and AI alignment. Their work has been published in top academic journals and conferences, and they maintain an open research policy, sharing many of their findings with the broader scientific community.

In addition to their research efforts, OpenMind AI has developed a suite of tools and frameworks for AI safety research, which are used by organizations around the world. They also run educational programs and workshops to help train the next generation of AI researchers with a strong focus on safety and ethics.

The company has attracted significant investment from technology leaders and venture capital firms who share their vision of developing AGI that is aligned with human values and beneficial to society. Their approach emphasizes caution and thoroughness over speed, with a strong commitment to not deploying systems that could have harmful consequences.

Investors
  • Horizon Ventures
  • Future Fund
  • Tech Pioneers
  • Innovation Capital
Key Achievements
  • Breakthrough in AI Alignment

    Developed a novel approach to AI alignment that demonstrably improves safety.

    2023

  • Best Paper Award at NeurIPS

    Received recognition for groundbreaking research on interpretable neural networks.

    2022

  • Partnership with Leading Universities

    Established research collaborations with MIT, Stanford, and Oxford.

    2021