A bug sat for years because the fix meant a month of digging. AI traced the fragmented code to draft a solution in three days.
A global revenue platform manages a decade of engineering investment across fragmented codebases built in Java, Ruby, TypeScript, Python, and Scala.
Technical context was scattered across outdated documentation and senior staff, meaning onboarding to new codebases took weeks of manual research....
“Factory has nearly doubled my productivity. It helps me deliver higher-quality code faster, onboard to new codebases more smoothly, review PRs more efficiently, and even brainstorm ideas more effectively.”
AI-powered revenue platform for sales forecasting and pipeline management.
AI software development agents for automating engineering workflows.
Related implementations across industries and use cases
Manual code conversion bottlenecked upgrades. AI now automates the migration, saving 2 months of engineering time.
Engineers lost hours checking dependencies. Now, AI models handle architecture and reviews, letting them focus on code.
Ambiguity slowed development cycles. Agents now reason through code reviews and refactors, saving 2,300 hours per client.
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.