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Setloop
We build the infrastructure that takes AI from the lab into production.
Engineering consultancy · AI infrastructure products · Applied research
Website · Services · Setloop Lab · GitHub · Contact
Setloop helps teams design, build and operate production AI systems. Our work spans private and sovereign AI, GPU platforms, inference, training, security, observability and cost control.
What we do
| Consultancy | Products | Setloop Lab |
|---|---|---|
| Architecture reviews, implementation plans and engineering support for production AI. | Tools for operating GPU capacity, controlling AI spend, securing agents and automating operations. | Applied research into privacy and security risks in distributed AI. |
Products and platforms
- GPU Cloud — secure GPU rentals, deployments, private clusters and distributed training.
- AI FinOps — token-level cost visibility connected to product work and customer outcomes.
- LLMTrace — security, policy controls and full-fidelity observability for production AI agents.
- ProofSeam — evidence-led security assessments for AI workflows and model privacy.
- AutoOps — governed autonomous SRE for AI infrastructure and Kubernetes platforms.
- Automatic RL Research — bespoke closed-loop systems for long-running reinforcement-learning experiments.
Research and open artefacts
Setloop Lab investigates privacy and security in distributed AI. We publish papers, datasets and reproduction artefacts so that findings can be inspected and extended.
- Privacy Failure in Split-LLM Training: The Returned Gradient Nullifies the Decoys
- What Gradients Add to Text Leakage in Split Language Models, Counted per Token and per Document — reproduction package with the final manuscript, experimental evidence and analysis code.
- The LLM Attacker: A Unified Red-Team Framework for Privacy Evaluation of Split and Distributed LLMs — reproduction package, combined manuscript and full evidence release (v1.0).
Work with us
Planning AI infrastructure, evaluating a platform or moving an AI system into production? Tell us what you are building →