Adept AI is a technology company.
Adept AI is a technology company.
Adept AI has raised $415.0M across 2 funding rounds.
Adept AI has raised $415.0M in total across 2 funding rounds.
Adept AI has raised $415.0M in total across 2 funding rounds.
Adept AI's investors include Ahren Innovation Capital, ENIAC Ventures, General Catalyst, Insight Partners, Nina Capital, Social Starts, Yes VC, Acrobator Ventures, Altaclub VC, Altair Capital Management, Andreessen Horowitz, BITKRAFT Ventures.
Adept AI is a machine learning research and product lab developing AI systems that act as universal collaborators, understanding natural language instructions to automate tasks across software environments like Excel, Tableau, Photoshop, and Airtable.[1][2][3] It builds products such as the Action Transformer (ACT-1), a large language model that converts commands into actions, targeting knowledge workers to boost productivity without replacing humans.[2][3][6] The company serves enterprises and individuals facing repetitive software tasks, solving the gap where AI generates text but cannot execute actions in existing apps lacking APIs.[1][3] Initially pursuing general AI agents, Adept pivoted to enterprise solutions integrating third-party models due to high foundational model costs, following a 2024 acqui-hire where Amazon hired key talent including CEO David Luan.[4]
Adept AI was founded in 2021 by a team of elite AI researchers, including CEO David Luan (ex-Google Brain), CTO Niki Parmar, chief scientist Ashish Vaswani, and others like Maxwell Nye, Augustus Odena, Erich Elsen, Anmol Gulati, Kelsey Szot, and Fred Bertsch.[2][3][6] The idea emerged from their expertise in advancing AI to mimic human software interactions, creating an "overlay" for natural language commands like "generate a monthly compliance report" using existing tools, far beyond traditional robotic process automation (RPA).[3][6] Early traction included a $350M Series B led by General Catalyst in 2023, signaling investor confidence, but high training costs led to a 2024 pivot and Amazon acqui-hire of much of the research team, leaving a smaller group focused on enterprise AI.[4][6]
Adept rides the agentic AI trend, where models evolve from chatbots to autonomous actors handling real-world software tasks, timed perfectly with multimodal LLMs and rising demand for productivity tools amid labor shortages.[1][3][4] Market forces like exploding AI compute costs favor its pivot to integration over foundational research, aligning with enterprise shifts toward practical automation over hype-driven AGI.[4] It influences the ecosystem by advancing "AI teammates" that augment knowledge workers, challenging RPA giants like UiPath while inspiring human-AI collaboration standards.[3][6]
Post-pivot, Adept will likely deepen enterprise integrations for CX and workflows, leveraging Amazon ties for scale while avoiding foundational model arms races.[4] Trends like cheaper APIs, edge AI, and regulatory pushes for safe automation will propel its growth, potentially evolving it into a key player in hybrid human-AI enterprises. As a pioneer in bridging intention to execution, Adept exemplifies how AI startups adapt to sustain impact in a maturing field.[1][4]
Adept AI has raised $415.0M across 2 funding rounds. Most recently, it raised $350.0M Series B in March 2023.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Mar 1, 2023 | $350.0M Series B | Ahren Innovation Capital, ENIAC Ventures, General Catalyst, Insight Partners, Nina Capital, Social Starts, Yes VC | |
| Apr 1, 2022 | $65.0M Series A | Acrobator Ventures, Altaclub VC, Altair Capital Management, Andreessen Horowitz, BITKRAFT Ventures, Brighter Capital, Electric Capital, Ethereal Ventures, Felix Capital, Greylock, Hartmann Capital, Madrona Ventures, Menlo Ventures, Mercury Fund, MetaProp Ventures, New Age Ventures, Polygon, Sequoia Capital, TCV, Third Prime, Tribe Capital, Alex Kayyal, Bradley Horowitz, Dan Springer, Dylan Field, Fidji Simo, Furqan Rydhan, Gokul Rajaram, Hadi Partovi, Jean-Baptiste Rudelle, Jutta Steiner, Matias Woloski, Maya Zehavi, Mike Vernal, Ron Pragides, Stani Kulechov, Teck Chia |