DATA
Modeling, engineering & analytics. Pipelines, dimensional modeling, lakehouse, ETL/ELT, data quality. From raw ingestion to the table the business team trusts.
A lab building data engineering, machine learning and platform — for companies that need fast technical resolution and architecture that survives the next scale. What we learn along the way, we publish: open source, devlogs, and in-house products.
Modeling, engineering & analytics. Pipelines, dimensional modeling, lakehouse, ETL/ELT, data quality. From raw ingestion to the table the business team trusts.
Models that ship to production. Classical ML, deep learning, computer vision. Real MLOps — model versioning, continuous eval, drift monitoring.
Functional full-stack. Frontends rebranded or rebuilt from scratch, automations that replace operational work, internal platforms with observability from day one. QML when the case calls for it.
Most of what we build is public. Every paid project becomes a library, tool, or paper. You get what we learned along the way — and the next client arrives knowing what they’re walking into.
Open source with the COSLU brand baked into the UI. The technical showcase of what the lab ships when we’re our own client.
100% local Markdown editor. No cloud, no login, no 200MB of Electron.
Real-time transcription on your PC, GPU accelerated.
Universal file viewer. 80+ formats in a 12 MB binary.
The lab exists because the best way to prove we can build is by building. Every service we sell becomes a library, devlog, tool or product — so the next client arrives with auditable references, not a PowerPoint case study.
Send a brief. Within 48h we reply with scope, timeline, and what would be open-sourced along the way.