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Former OpenAI Research Chief Bob McGrew's Arda Raises $230M at $1.5B Valuation

🔄 Updated 17d ago
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Key points

  • Arda raised $230 million at a $1.5 billion valuation.
  • The company develops AI software for manufacturing automation.
  • Arda's AI models are deployed with military tech company Anduril.
  • Bob McGrew previously worked at OpenAI and Palantir.

Arda Secures Significant Funding

Arda, a new company founded by former OpenAI research chief Bob McGrew, has announced a $230 million funding round, valuing the company at $1.5 billion. The investment was led by Altimeter Capital, Accel, and Khosla Ventures. This funding will support Arda's mission to apply AI in manufacturing processes.

AI for Manufacturing Automation

Arda specializes in creating AI software designed to automate manufacturing operations. McGrew stated that Arda's AI models are already in use with military technology company Anduril. The software functions as a user interface and agent, assisting manufacturing engineers in building assembly lines more rapidly.

Addressing Production Bottlenecks

McGrew highlighted the challenge of adapting production to new designs, noting that while a human can be retrained in a day, changing automation for a new design can take three to six months. Arda's software aims to reduce this timeframe, allowing for quicker adjustments in manufacturing processes, particularly for items like weapons or drones.

Leadership and Background

Bob McGrew served as OpenAI's research chief and was previously the product and engineering lead at Palantir for over a decade. He joined OpenAI in 2017, working on reasoning capabilities before ChatGPT's launch, and left in 2024. Arda's co-founders include Augustus Odena, formerly of Google and Meta, and Palantir engineers Alex Mark and Jakob Frick.

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Reporting from

Bob McGrew, former OpenAI research chief, launched Arda, an AI software company focused on automating manufacturing, raising $230 million at a $1.5 billion valuation. Arda's technology aims to accelerate assembly line changes, addressing the time-intensive nature of adapting production to new designs in manufacturing.