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Chronicles

The story behind the story

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Adept, which is building an AI model that can turn text commands into computer actions, raised $350M in a Series B, sources say at a $1B+ post-money valuation

Forbes

Context & Ripple Effects

Adept came out of stealth less than a year ago with a $65M round led by Greylock and Addition built around one thesis: an AI model that doesn't just answer questions but executes any software process a user describes in text. The new $350M Series B at a reported $1B+ post-money valuation is investors pricing that thesis as a category rather than a research bet.

The raise lands amid a broader funding surge for founder-led AI labs and agents — Inflection AI's $1.3B round followed months later, and agent-focused startups like Cognition's Devin and 11x.ai have since drawn comparable or larger valuations — making Adept an early marker of how quickly capital consolidated around 'AI that acts' after the chatbot wave.

First-order effects

  • Adept gains the balance sheet to fund the compute-heavy training its text-to-action models require, extending runway well beyond what the $65M stealth round supported.
  • Greylock and Addition's early stakes are now marked against a $1B+ post-money valuation, roughly an order of magnitude above the seed, giving the firm a flagship agentic-AI position.

Second-order effects

  • Competing labs with marquee-founder pedigrees — Inflection under Mustafa Suleyman most visibly — face a funding benchmark set at nine figures per round, pressuring every frontier-adjacent startup to scale raises or concede the field.
  • Application-layer agent builders such as 11x.ai, which sells AI sales reps, now have both a potential foundation-model supplier in Adept and a signal that the platform layer beneath them is being capitalized fast enough to become a dependency risk.

Third-order effects

  • If text-to-action agents work as described, software consumption shifts from users clicking through applications to models operating them, positioning whoever owns the action layer — not the app vendors — as the new intermediary across enterprise workflows.
  • That same layer automates routine screen-based knowledge work directly, feeding the documented pressure on formulaic and entry-level professional tasks rather than displacing whole job categories at once.

The trend: Venture capital is rotating from conversational AI toward agentic systems that execute software tasks on a user's behalf, with Adept's Series B an early, outsized data point in that rotation.

Discussion

  • @alexrkonrad Alex Konrad on x
    Adept AI has raised $350M at a $1B valuation just one year after launch. The AI startup is in talks with strategics for more at an even higher price tag. (The core funding was committed in the fall, pre ChatGPT.) From @kenrickcai and me for @forbes: https://www.forbes.com/...
  • @kenrickcai Kenrick Cai on x
    In January, Sam Altman told us he's looking forward to AI that goes far beyond ChatGPT. “What do we do that is totally different and way cooler?” Adept wants to build AI like that. It's now raised $415M since launch a year ago. From @alexrkonrad and me: https://www.forbes.com/...
  • @greylockvc @greylockvc on x
    Congrats @AdeptAILabs on your Series B! We-@GreylockVC- are proud partners to @jluan & team since we co-led the Series A. “We're just trying to build the best AI teammate possible for everybody.” Great read from @kenrickcai & @alexrkonrad in @Forbes 👇 https://www.forbes.com/...