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Adept AI
Artificial Intelligence
Adept AI was an AI research company building foundation models and agents designed to take actions directly inside software applications on a user's behalf.
$516M
+$1.27
79.20%
30 days ago
$1.61
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Adept AI was founded in 2022 by David Luan, Niki Parmar, and Ashish Vaswani, researchers with backgrounds at Google Brain, OpenAI, and DeepMind, including co-authorship of the original Attention Is All You Need transformer paper. The company's thesis was that the next major leap in AI usefulness would come not from models that simply generate text, but from agentic models that can observe a computer screen, understand the state of an application, and take actions such as clicking, typing, and navigating menus to attempt to execute multi-step tasks, similar to how a human employee would operate business software like a CRM or spreadsheet. Adept's flagship research effort was ACT-1, a model demonstrated performing tasks inside real software interfaces such as Salesforce and web browsers based on natural-language instructions, an early example of what the industry later broadly termed computer-use agents. The company raised significant venture funding, including rounds backed by investors such as General Catalyst, Spark Capital, and Greylock, reaching a valuation in the billions of dollars, and built out an enterprise-facing product alongside its research work. In 2024, in an arrangement that echoed similar moves by other AI labs, Amazon struck a deal to license Adept's technology and hire much of its leadership team, including CEO David Luan, while Adept continued on with a smaller team and existing customers; the episode was widely discussed as part of a broader pattern of large technology companies absorbing talent and IP from independent AI startups without formal acquisitions.
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