From a transcoding pipeline handling millions of daily tasks, to a cross-border commerce platform spanning six markets, to AI assistants people use every day — all running in production.
Every case below is live and stable. Client names and some figures are withheld under confidentiality, but the architecture, the hard parts and the reasoning are real. Three of them are AI projects wired into actual business workflows. If your situation resembles one of these, we can reuse the proven architecture and save you a great deal of trial and error.
Rebuilt the transcoding pipeline for a platform ingesting tens of thousands of videos daily: 6× throughput, 58% lower unit cost.
Multi-country, multi-language, multi-currency DTC storefronts and middle office, integrating payments, logistics, ERP and overseas warehouses.
Turned 120,000 documents scattered across systems into a single place to ask: 91% answer accuracy, 70% less time spent hunting for information.
Consolidated three disconnected legacy systems into one multi-tenant platform, cutting new-client onboarding from two weeks to one day.
AI understanding layered onto an existing transcoding pipeline: automatic tagging, chaptering, subtitles and first-pass moderation, cutting manual review 82%.
AI layered onto a live storefront platform: multi-language listing generation, review insight and support copilot — 5× content throughput.
We can reuse proven architecture and cut months off your path to production.