Cognition AI raises $2 billion at $48 billion valuation

Cognition AI has raised $2 billion in a Series E funding round at a valuation of $48 billion. The company's flagship product, Devin, works from high-level requirements to plan, write, test, and deploy code. Cognition has drawn criticism in the past, but its valuation signals investors believe in its potential. The company has added six offices globally and counts Nvidia, Mercedes-Benz, and Goldman Sachs among its customers.

Cognition's soaring valuation signals that VCs still see room for multiple major players to capture meaningful market share in AI coding. The startup's annualized run-rate revenue has grown from $492 million to $900 million. Cognition is training its own model based on open-source alternatives, which could help cut costs and bring the company closer to breakeven.

In other AI news, GitHub has introduced a research preview built into GitHub Copilot that handles routing automatically. The system, called HydraFusion, evaluates the request and builds the workflow itself. This approach could change how model management is handled, with implications for cost governance, security review, and more.

Nvidia is implementing several security layers for future AI agents, including isolated coding environments, rate and spend limits, and task-scoped access controls. These measures aim to prevent AI agents from accessing sensitive information and minimize the potential blast radius of any security compromise.

The AI boom is driving demand for semiconductor equipment higher, with Applied Materials expecting its revenue to grow 15% year-over-year. Meanwhile, a Fortune 500 customer found 18,000 AI agents active on its endpoints, but had only approved 300, highlighting the need for better agent discovery and management.

Key Takeaways

• Cognition AI raises $2 billion at $48 billion valuation for its AI coding platform. • Cognition's annualized run-rate revenue grows from $492 million to $900 million. • GitHub introduces Copilot feature with HydraFusion for automated model management. • Nvidia implements four security layers for future AI agents. • Applied Materials sees 15% revenue growth driven by AI boom. • A Fortune 500 customer finds 17,700 unapproved AI agents. • HTEC and Modular demonstrate AI software stack on Google's TPU architecture. • OFA Group launches PlanAId for AI-assisted building code intelligence. • Pinterest builds a trusted AI engine with transparent features. • Fabrinet's AI optical growth accelerates in the data-center market.

Cognition AI raises $2 billion at $48 billion valuation

AI coding startup Cognition AI has raised $2 billion in a Series E funding round at a valuation of $48 billion. The company's flagship product, Devin, works from high-level requirements to plan, write, test, and deploy code. Cognition has drawn criticism in the past, but its valuation signals investors believe in its potential. The company has added six offices globally and counts Nvidia, Mercedes-Benz, and Goldman Sachs among its customers.

Cognition hits $48B valuation, signaling investors believe AI coding is far from a winner-take-all market

Cognition's soaring valuation signals that VCs still see room for multiple major players to capture meaningful market share in AI coding. The startup's annualized run-rate revenue has grown from $492 million to $900 million. Cognition is training its own model based on open-source alternatives, which could help cut costs and bring the company closer to breakeven.

HTEC and Modular Extend MAX and Mojo to Google TPU

HTEC and Modular have demonstrated Modular's AI software stack running on Google's TPU architecture. The project shows that support for a new silicon target can be delivered by extending an existing software foundation rather than rebuilding it for each accelerator.

GitHub's New Copilot Feature Takes the Guesswork Out of Picking AI Models

GitHub has introduced a research preview built into GitHub Copilot that handles routing automatically. The system, called HydraFusion, evaluates the request and builds the workflow itself. This approach could change how model management is handled, with implications for cost governance, security review, and more.

AI is not yet driving US job losses

The latest US employment figures have failed to show an AI-driven surge in job losses. Theories of a 'jobpocalypse' are premature, but AI will eventually make some occupations obsolete.

NVIDIA Details 4 Security Layers For Future AI Agents

NVIDIA is implementing several security layers for future AI agents, including isolated coding environments, rate and spend limits, and task-scoped access controls. These measures aim to prevent AI agents from accessing sensitive information and minimize the potential blast radius of any security compromise.

OFA Group Launches PlanAId, Bringing AI-Assisted Building Code Intelligence Earlier Into the Design Process

OFA Group has launched PlanAId, an AI-assisted blueprint review platform designed to help architects, engineers, and construction professionals identify potential building code issues earlier in the design process.

Applied Materials Says AI Boom Is Driving Semiconductor Equipment Demand Higher

Applied Materials, a leading provider of semiconductor equipment, says the boom in artificial intelligence is driving demand for its products higher. The company's revenue is expected to grow 15% year-over-year.

Falcon Guardian finds 17,700 unapproved agents

A Fortune 500 customer found 18,000 AI agents active on its endpoints, but had only approved 300. This gap highlights the need for better agent discovery and management.

How Pinterest Built an AI Engine Users Actually Trust

Pinterest has built an AI engine that users trust, with features like AI-generated backgrounds and visual search tools. The approach prioritizes transparency and user trust, which has led to revenue growth and increased user engagement.

FN's AI Optical Growth Accelerates: Can It Challenge LITE & AAOI?

Fabrinet's AI optical growth has accelerated, driven by increasing demand for AI and data-center technologies. The company is well-positioned to challenge established players in the optical market.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

AI Cognition AI Devin Series E funding Valuation Investors Nvidia Mercedes-Benz Goldman Sachs AI coding Machine learning Model training Open-source alternatives Google TPU HTEC Modular MAX Mojo GitHub Copilot HydraFusion AI models Job losses US employment NVIDIA Security layers AI agents OFA Group PlanAId Building code intelligence Applied Materials Semiconductor equipment AI boom Falcon Guardian AI agents discovery Management Pinterest AI engine User trust Revenue growth Fabrinet AI optical growth LITE AAOI

Comments

Loading...