Cognition, the AI coding startup behind the agent Devin, is in talks to raise a new funding round at a valuation of at least $40B, according to Bloomberg. The round would land roughly three months after Cognition closed $1B at a $26B valuation in May 2026, a 54% valuation jump in a quarter. The trigger is revenue: the company has crossed a $1B annualized run rate.
That $1B figure roughly doubles the $492M annualized run rate CEO Scott Wu disclosed in May. Wu also told the market at the time that enterprise usage of Devin had been growing 50% month-over-month for six consecutive months. If that pace held, the revenue jump is arithmetic, not narrative.
Cognition's customer list is doing much of the work in justifying the valuation. Mercedes-Benz, NASA, and Goldman Sachs are among the enterprises paying for Devin, according to the company. Those are procurement-heavy buyers with long security reviews, and their presence signals that Devin has cleared the bar large regulated organizations set before letting an autonomous agent touch production code.
Key facts
- 01Cognition is in talks to raise at a $40B valuation, up from $26B in May 2026.
- 02Annualized revenue run rate hit $1B, doubling from $492M three months earlier.
- 03Enterprise usage of Devin has grown 50% month-over-month for six consecutive months.
- 04Customer list includes Mercedes-Benz, NASA, and Goldman Sachs.
- 05The May round raised $1B; the new round would mark a 54% valuation jump in roughly three months.
The product itself is positioned narrowly. Devin is an agentic coding tool designed to take on long, tedious engineering work — upgrading legacy codebases, porting applications between platforms, closing out backlogs of small tickets. It is the kind of work engineering teams routinely defer, and the kind that maps well to an agent that can grind through a task list without needing a human in the loop for every step.
Wu, a competitive programming veteran, has been deliberate about how the company pitches Devin to enterprise buyers.
“Devin is not being sold as a human replacement”— Scott Wu, Cognition CEO
The framing matters for adoption. Selling an AI agent as a replacement for engineers invites internal resistance and slower rollouts. Selling it as the tool that clears the work engineers do not want to do makes it a productivity purchase, not a headcount decision. The 50% month-over-month growth rate suggests customers are expanding seat counts and workloads rather than piloting and stalling.
The fundraising context is also worth noting. Cognition is not alone in the round-a-quarter cadence: Lovable just confirmed a $13.3B valuation on a fresh $400M raise, and General Catalyst led a $1.1B round into River AI, a company two months old. AI coding and agent infrastructure are drawing capital at valuations that assume every leading company will compound revenue at Cognition's rate for years.
The risk in the $40B mark is that it prices in continued 50% monthly growth from an already large base. Enterprise software historically decelerates as it scales — the customers get bigger, the sales cycles get longer, and the easy pilots convert first. Cognition also competes with GitHub Copilot, Cursor, Replit, and a growing set of agent-first coding tools, several of which use Claude or GPT-class models under the hood. Multiple expansion of this speed leaves little margin for a single soft quarter.
Still, the trajectory is the trajectory. A startup going from a $492M run rate to $1B in three months, with named Fortune 500 customers and month-over-month enterprise growth above 50%, is the profile investors have been hunting for since the generative AI cycle began. If Cognition closes at $40B, the read-through is that AI coding agents have moved from the demo stage into the enterprise budget line, and the market is willing to pay for the winner well before anyone knows which company that is.
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