Consulting & implementation
We set up infrastructure and AI systems for organizations that need it done right the first time.
What we set up
- Data centres — Rack layout, power, cooling, networking, and server provisioning. From planning to production.
- Slurm clusters — Full cluster builds: hardware selection, Slurm configuration, GPU scheduling, storage, and monitoring.
- Kubeflow — ML pipeline platform on Kubernetes: training, experiment tracking, model serving, and MLOps.
- RAGflow — Document intelligence and retrieval-augmented generation: ingestion, embedding, search, and LLM integration.
- AI agents — Custom agents for workflow automation, decision support, and data analysis. Integration with existing tools and systems.
- Production ML — Model training, inference serving, monitoring, and the infrastructure to keep it running.
How we work
- Assessment — Understand your workloads, constraints, and goals. No generic slide decks.
- Design — Architecture documents, hardware specs, and a clear implementation plan.
- Build — We do the work. Install, configure, test, and validate.
- Handoff — Documentation, training, and support. Your team runs it after we leave.
Who we work with
Universities and research institutions, government agencies, defence contractors, and enterprises that need HPC, AI/ML, or production infrastructure but don't have the in-house expertise to build it from scratch.
Get in touch to discuss your requirements.