Urgent.News

What's breaking now, across thousands of outlets.

AI

Cognition AI raises $2 billion at $48 billion valuation

The round was led by new investors Andreessen Horowitz and Accel, alongside existing backers Founders Fund, General Catalyst, and Avenir.

Cognition AI raises $2 billion at $48 billion valuation

Cognition AI Inc., an artificial intelligence coding startup, has raised over $2 billion in late-stage funding to reach a $48 billion valuation, more than doubling its previous round's valuation. The Series E funding round came after the company's May 2024 Series D round, in which it raised more than $1 billion at a $26 billion valuation.

CEO Scott Wu founded Cognition in 2024, which develops AI agents to handle software engineering tasks end-to-end. Their flagship product, Devin, uses high-level requirements instead of line-by-line prompts to plan, write, test, debug, and deploy code in a sandboxed environment. Cognition's platform has been adopted by various industries, including Nvidia for chip design, GE Aerospace for aviation work, Citigroup for financial services, Mercedes-Benz Group AG for automotive engineering, and Modal Labs Inc. for AI infrastructure.

The company has also introduced new features like Devin Auto-Triage, Devin Security Swarm, and Devin Automations. Despite its success, Cognition has faced criticism regarding the accuracy of its launch demos and benchmark claims. The company expanded its offices to include hubs in Washington, Tokyo, Singapore, London, São Paulo, and Madrid.

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

This story

This is one outlet's version. Read the fullest account.

Read the original at economictimes.indiatimes.com →

More in AI

OpenAI says it cracked 90-year-old maths problem in 88 hours

OpenAI says it has found a solution to a decades-old advanced maths problem in a matter of hours using a new artificial intelligence (AI) model and thousands of AI bots.

  • OpenAI solved 90-year-old Navier-Stokes equations in 88 hours
  • AI agents tackled fluid movement problem with 10,000 agents
  • Solution pending verification and $1M prize acceptance

Giving an AI agent memory is easy. Keeping it true is the hard part.

Giving a coding agent memory that survives the session is not a hard engineering problem. A directory of markdown files outside any repo, one fact per file, an index that gets loaded at the start of…

  • Memory in AI agents is easy to implement but hard to maintain accuracy.
  • Four out of forty memory entries were confidently wrong, steering decisions for weeks.
  • Adding a re-check command to each entry can make claims falsifiable and catch errors quickly.

More from Wednesday 9 September →