Cognition Crosses $1B in Annualized Revenue Run Rate
Cognition, the company behind the AI software engineer Devin, announced on September 25, 2026 that it has crossed $1 billion in annualized revenue run rate. The milestone more than doubles the roughly $492 million run rate the company disclosed in May 2026, and comes less than two years after Devin first became generally available.
Details
- Milestone: Cognition’s annualized revenue run rate has surpassed $1 billion, up from about $492 million in May 2026 and nearly $900 million as of its September 8 Series E announcement
- Company timeline: Cognition was founded in January 2024, and Devin reached general availability less than two years later, making the climb to $1 billion run rate unusually fast
- Named customers: the announcement credits enterprise adoption at companies including GE Aerospace, Rivian, Rohlik, and Exa, alongside previously disclosed customers such as Citi, Mercedes-Benz, Goldman Sachs, Elevance Health, Dell Technologies, Santander, the U.S. Army, and the U.S. Navy
- Framing: Cognition’s post credits the milestone to its customers, stating “The world needs far more software than it can build. Every company is now a software company, and every one of them has more to build than time to build it.”
- Stated vision: the company says it is working toward “a world where software is good by default, delightful, and everywhere”
What happened next
The announcement lands just over two weeks after Cognition disclosed its Series E round of more than $2 billion at a $48 billion valuation on September 8, when run-rate revenue stood at nearly $900 million. Crossing the $1 billion mark this quickly signals that enterprise demand for Devin has continued to accelerate even after the funding round, rather than plateauing. Combined with the steady cadence of model integrations (Claude Opus 5.5, GPT-6 Sol and Luna, Grok 4.7) and new products like Auto-Triage and Security Swarm rolled out through September, Cognition is positioning Devin’s growth as evidence that autonomous coding agents are moving from pilot projects to standard engineering infrastructure at large enterprises.