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Cognition Raises $2 Billion At $48B Valuation To Push AI Coding Company

Every company wants to build more software. But there aren’t enough software engineers. Teams leave features unbuilt, delay security fixes, and push upgrades because they run out of engineering time. The post Cognition Raises $2 Billion At $48B Valuation To Push AI Coding Company appeared first on Ventureburn .

Cognition Raises $2 Billion At $48B Valuation To Push AI Coding Company

Cognition, an artificial intelligence coding company, has raised $2 billion in a Series E round to achieve a $48 billion valuation. The startup's mission is to make software engineering more efficient by utilizing AI agents like Devin to handle coding, testing, and deployment tasks. Since its last funding round, Cognition’s annualized run-rate revenue has grown from $492 million to nearly $900 million.

Devin goes beyond simple code completion, focusing on high-level requirements and autonomously writing, testing, fixing, and deploying code. Cognition’s investors include Andreessen Horowitz, Accel, Founders Fund, General Catalyst, and Avenir. The company's customers include major firms such as Nvidia, GE Aerospace, Citi, Mercedes-Benz, and Goldman Sachs.

To reduce expenses, Cognition is planning to train its own model based on open-source alternatives, aiming to decrease their reliance on expensive third-party models and work towards breakeven. The company projects its annualized revenue to reach $4-5 billion by the end of 2026, capitalizing on the growing demand for AI features across industries.

Cognition's CEO, Scott Wu, envisions software engineers as managers of AI agents, directing and approving the work instead of writing every line of code. This approach has the potential to significantly expand the capacity for software development, leading to faster security patches, quicker startup deliveries, and enhanced efficiency across the industry.

Written by urgent.news from Ventureburn's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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