Engineers lost hours checking dependencies. Now, AI models handle architecture and reviews, letting them focus on code.
A software development platform designed to eliminate engineering bottlenecks by integrating coding, planning, and knowledge retrieval into a single command center.
Engineers spent significant time manually researching dependencies and verifying system accuracy instead of writing code. Legacy tools created...
“The flexibility of offering o1 and o3‑mini for a range of reasoning tasks has helped us win business from customers seeking a software development tool that allows seamless switching between models with varying reasoning capabilities.”
AI software development agents for automating engineering workflows.
AI research and deployment company developing generative models and tools.
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Ambiguity slowed development cycles. Agents now reason through code reviews and refactors, saving 2,300 hours per client.
Previous models wrote unusable partial code. Now, specialized agents with VM access build and deploy 5,000-line apps in two hours.
Closed models lagged and broke flow. Self-hosting Llama cut latency 3x, letting a single GPU power 1,000 engineers.
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.