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Handshake AI Reaches $1 Billion Revenue in One Year

2 reports 1 reporting sources 1 h前 updated

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According to Latent Space, on November 10, 2026, the Latent Space podcast held a 164-minute in-depth conversation with Garrett Lord of Handshake AI and his team on the topic of what kind of training data frontier labs are buying. The conversation revealed that Handshake's AI training data business took roughly one year from launch to reach $1 billion in annualized total revenue. The show also demonstrated RL environments and evaluations in three segments: in a finance task, an agent carried a goodwill figure from a customer email into Python but got the applicability of tax rules wrong; on the biology side, it showcased the VIALS scientific image benchmark, where models still lag behind experts in interpreting vascular necrosis in brain tissue; and on alignment, it tracked agents' tool calls and file-sending behavior in safety simulations. Public reporting so far mainly comes from this podcast conversation; no further specific figures or details were provided, and there are no new developments yet.

AI overview of reporting · Updated 9 min前

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11/10
  1. Latent Space
    What Frontier Labs Buy: A Data Deep Dive with Handshake AI — Garrett Lord & Team

    The Latent Space podcast sits down for a 164-minute deep conversation with Handshake AI's Garrett Lord and team; Handshake's AI training data business went from launch to $1 billion in annualized total revenue in about a year.

  2. Latent Space
    What Frontier Labs Buy: A Data Deep Dive with Handshake AI — Garrett Lord & Team

    In a Latent Space podcast episode, the Handshake AI team discusses how its AI training business grew to $1 billion in annualized revenue within about a year of launch. The episode demonstrates RL environments and evaluations in three parts: in a finance task, an agent carries a goodwill figure from a client email into Python but applies the tax rule in the wrong place; on the biology side, it shows the VIALS scientific imaging benchmark, where model answers still lag experts in interpreting vascular necrosis in brain tissue; for alignment, it tracks agent tool calls and file-sending behavior in safety simulations.

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