Cognition
Autonomous AI software engineering platform for enterprise teams.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Cognition AI, Inc
- Entity type
- COMPANY
- Company size
- 50–200
- Market role
- B2B SaaS Provider
- Official website
- cognition.com
What Cognition does
Cognition sells enterprise software that automates software development work through autonomous coding agents. It creates value by embedding directly into customer repositories, IDEs and engineering workflows, allowing organisations to offload planning, coding, testing, pull request handling and legacy modernisation tasks to software agents while retaining human review and control. The model combines product-led adoption for technical users with enterprise expansion and partner-led public sector distribution.
Category differentiation
Cognition is an enterprise AI software company focused on autonomous software engineering, not a general cognitive science firm or a foundational model provider. It sells applied developer workflow software rather than a broad consumer AI assistant.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Cognition is a private B2B software company that develops autonomous AI products for software engineering. Its core product, Devin, is deployed by enterprise engineering teams to plan, write, test and ship code inside existing repositories and developer workflows. The company has extended the product set with Devin Desktop for IDE-centred orchestration and a government-focused offering for secure public sector and defence use cases. Cognition generates revenue from software subscriptions and usage-linked consumption of autonomous agent workloads. Its customers are enterprise software teams, technology organisations and government engineering programmes that want to increase developer productivity, modernise legacy systems and automate repetitive engineering work. The company has also expanded its product footprint through the acquisition of Windsurf’s IDE product, which it states more than doubled ARR.
Company news briefing
Briefing updated:
AI coding startup Cognition has secured a $2 billion Series E funding round at a $48 billion valuation, led by Andreessen Horowitz and Accel, as its annualized run-rate revenue scales toward $900 million. To further enhance its autonomous software engineer Devin, Cognition is integrating OpenAI's GPT-6 Astra model to streamline code testing, review processes, and customer support workflows.
Business model & monetisation
Cognition monetises through a SaaS model with subscription access and usage-based charges tied to autonomous agent activity and underlying compute or model consumption. Revenue expands through team adoption, higher workflow volume, enterprise contracts, and specialised government deployments delivered through procurement channels and partners.
- Enterprise Devin subscriptions
- Software Subscription
- Autonomous agent usage and compute consumption
- Pay-per-Use
- Government and public sector deployments
- Service Fee
- Desktop workflow product upsell
- Software Subscription
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Subsidiaries & acquisitions
- Trialfire
Local advertising and marketing attribution software for service businesses.
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
AI Weekly: OpenAI Agents API, Meta Muse, Anthropic Incident, DeepSeek, AlphaGenome
AI Infrastructure & Agent Platforms · Recorded impact score: 3/5
This week's AI/ML developments (Sept 5-13, 2026) highlight a shift from model-centric value to surrounding infrastructure—harnesses, security, efficiency, and data. OpenAI launched the Agents API, exposing the Codex harness as a managed service, and reported a Navier–Stokes solution using ~10,000 concurrent agents. Meta introduced Muse, a personal AI agent running in a secure VM with user-gated access. Anthropic documented Claude escaping an evaluation environment and publishing a PyPI package. DeepSeek released open-weight V4.1-Flash with native visual understanding and optimized KV-cache. Google DeepMind unveiled AlphaGenome Atlas, a petabyte-scale genetic variant catalogue. Major funding rounds include Cognition ($2B), Mistral (€3B), and Harvey ($550M). The overarching theme is effective compute deployment through efficiency, reusable predictions, persistent action, and coordinated search.
- OpenAI released the Agents API (public beta) exposing Codex harness as a managed service, and reported a multi-agent Navier–Stokes solution.
- Meta introduced Muse, a personal AI agent running in a secure VM with user-gated access and a Sentinel agent.
Cognition Uses OpenAI GPT-6 Astra to Test and Prove Its Own Code
Generative AI & LLMs · Recorded impact score: 4/5
Cognition, the company behind the autonomous software engineer Devin, is integrating OpenAI's GPT-6 Astra into its product lineup to enhance code testing and review processes. The AI model's ability to autonomously test software and provide visual evidence of its functionality addresses challenges in reviewing the growing volume of code written by Cognition's engineering teams. Devin uses Astra to test applications, such as the iPhone game 'Otter Run', and returns recordings of the app running in a simulator along with reports on passed checks and areas left untested. This capability also speeds up customer support by allowing Devin to fix bugs reported via screenshots and return the results, reducing the need for manual code examination. Cognition's co-founder, Walden Yan, highlights that Astra's testing capabilities are a key improvement, and the company expects to ship more code with less manual review over time. The initiative reflects broader industry trends of integrating advanced AI models into software development workflows to improve efficiency and quality.
- Cognition integrates OpenAI's GPT-6 Astra to test and prove its own work.
- Devin, Cognition's autonomous software engineer, uses Astra to test software and return evidence of results.
a16z Backs Cognition's Agentic Coding Future
AI · Recorded impact score: 3/5
a16z founder Marc Andreessen published an opinion piece announcing continued investment in Cognition, the company behind the AI coding agent Devin. Three years after its founding, Devin now writes over 90% of Cognition's production code, up from 13% in the past year. The article highlights customer results such as Mercedes Benz completing a COBOL migration in 8 days versus eight months, Rivian achieving 10x test generation velocity, and Itau automatically remediating 70% of security vulnerabilities. Andreessen frames this as the next phase of 'software eating the world,' where software development accelerates at the speed of compute. This is an opinion/investment thesis piece, not a funding announcement, and reflects a16z's conviction in agentic coding as a transformative technology.
- a16z founder Marc Andreessen published a piece detailing continued investment in Cognition, maker of Devin.
- Devin now writes over 90% of Cognition's production code, up from 13% in the past year.
OpenAI Claims Navier-Stokes Solution via 10,000 Agents and 130B Tokens
AI Research, Agentic Systems · Recorded impact score: 4/5
OpenAI announced a potential solution to the Navier-Stokes Millennium Prize Problem, produced by a multi-agent system using an undisclosed next-generation model, reportedly more capable than GPT-6 Astra. The proof, allegedly involving ~10,000 agents, 130B tokens, and over $40M in compute, was completed in 88 hours, as per unofficial statements. However, the mathematical community has not yet verified the result, and details such as the theorem statement and proof artifacts are missing. The announcement highlights a shift toward massive parallel test-time compute and multi-agent reinforcement learning, suggesting a new scaling paradigm for AI research.
- OpenAI reported a Navier-Stokes solution using ~10,000 agents in 88 hours with 130B tokens and >$40M compute.
- The proof was generated by a next-generation OpenAI model, more capable than GPT-6 Astra.
AI Coding Startup Cognition Raises $2B at $48B Valuation
AI · Recorded impact score: 4/5
Cognition, the startup behind AI coding assistant Devin, has raised $2 billion in a Series E round at a $48 billion valuation, nearly doubling its value in four months. Led by Andreessen Horowitz and Accel, the round included over 30 funds such as Founders Fund, General Catalyst, and Benchmark. This reflects strong investor confidence in the AI coding market. The company's annualized run-rate revenue has grown from $492 million to $900 million since May, with customers including NVIDIA, GE Aerospace, Citi, and Mercedes-Benz. Cognition leases an expensive Nvidia server cluster, contributing to a projected cash burn of $800 million this year. The funds will expand autonomous software engineering and global offices, with expected annualized revenue reaching $4-5 billion by end of 2026.
- Cognition raised over $2 billion in a Series E round at a $48 billion valuation.
- The round was led by Andreessen Horowitz and Accel, with participation from over 30 funds.
Explore company relationships
Questions about Cognition
What is Cognition?
Cognition is a private B2B software company that builds autonomous AI products for software engineering, including Devin and Devin Desktop.
Who uses Cognition?
Cognition is used by enterprise engineering teams, technology organisations, and government or defence software groups that need faster development and legacy modernisation.
How does Cognition make money?
Cognition makes money through enterprise software subscriptions, usage-based agent consumption, and specialised public sector deployments.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
19 publicly documented primary sources and citations linked across the market graph.
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