Scattered providers drove up costs during traffic spikes. A unified cloud pipeline now cuts bills 10x while serving 2M users.
A Paris-based AI startup serving over two million creators with a platform that repurposes long-form content into vertical short videos.
Video transcoding is extremely compute-intensive, causing infrastructure costs to skyrocket overnight during viral traffic spikes. The small...
“A few years ago, as repurposed short form content became more and more widespread, increasingly powerful large language models and advanced transcription tools started to emerge. We realized we could use them to automate the most tedious aspects of the editing process.”
Venture studio and software lab for AI-powered SaaS and developer tools.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Cloud negotiations took weeks while usage tripled. Migrating to optimized H100s cut costs 60% and sped up inference 3x.
Complexity kept AI prototypes in the lab. Now, teams launch compliant apps in under one hour using a managed platform.
Memory limits blocked pro-grade video. Using A100 GPUs and Gemini, Mago cut render times by 40% and boosted resolution by 60%.
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.