Cloud migration meant years of manual coding. AI agents now refactor legacy apps autonomously, cutting costs by 50% for a €2B fintech.
An applied AI lab sought to deliver an autonomous software engineer to enterprise clients, including a €2 billion fintech with massive cloud migration requirements.
Enterprise customers faced prohibitive costs and multi-year timelines when migrating legacy .NET and PHP applications to the cloud. These complex...
“At Cognition we love working with partners like Visma and Microsoft who provide the expertise and tools to accelerate value from Devin. Devin only gets better when combined with great humans and access to tools like Copilot and Azure.”
Applied AI lab developing Devin, an autonomous AI software engineer.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Previous models wrote unusable partial code. Now, specialized agents with VM access build and deploy 5,000-line apps in two hours.
Ambiguity slowed development cycles. Agents now reason through code reviews and refactors, saving 2,300 hours per client.
Simple routers lost context on complex code. A modular state machine design enabled the system to autonomously fix 243 real-world bugs.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.