Influencer
Cognition
Cognition operates Devin, an autonomous AI software engineer that plans, writes, tests, and ships production code within a team's existing codebase and tools. The company also developed FrontierCode, a benchmark that evaluates whether AI-generated code would actually be merged by a human maintainer, checking for correctness, test quality, and codebase standards. Devin is deployed at some of the largest and most complex institutions in the world.
- AI Agents
- Artificial Intelligence
- Developer Tools
- Software Only
Updated 6 days ago
Funding
Raised to date
$3.6BRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 5 rounds
+41$2B · Series E
Announced Sep 2026 · from article date
Disclosed cumulative: $3.6B
5/5
RoundDateAmountValuationInvestors
Founders
Product
Problem
Software development teams face challenges in meeting project deadlines and managing resource constraints due to the increasing complexity of coding tasks. Limited availability of skilled engineers and the time-consuming nature of software development processes can hinder productivity and innovation.
Solution
Cognition provides Devin, an AI-powered autonomous software engineer that plans, writes, tests, and ships production code on its own. Devin works inside a team's codebase and the tools they already use, handling repetitive engineering work so human engineers can focus on strategizing, designing systems, and problem-solving. The AI agent is deployed at some of the largest and most complex institutions in the world, augmenting engineering teams to accelerate project timelines and reduce development costs. Cognition also developed FrontierCode, a benchmark that measures whether a model writes code a human maintainer would actually merge, using custom rubrics, novel verifiers, and tests for correctness, test quality, scope discipline, style, and codebase standards.
Target Audience
The primary target audience includes software development teams, engineering managers, and technology companies seeking to improve productivity and accelerate time-to-market, including the world's leading enterprises and technology companies.
Features
- Autonomous code generation, debugging, and deployment capabilities
- Integration with existing development environments and tools used by the team
- Natural language interface for task specification and progress monitoring
- Intelligent task decomposition and planning based on project requirements
- FrontierCode benchmark evaluating mergeability with custom rubrics, novel verifiers, and tests for correctness, test quality, scope discipline, style, and codebase standards
- Real-time collaboration features for seamless teamwork between AI and human engineers