Setloop

We build the infrastructure that takes AI from the lab into production.

Engineering consultancy · AI infrastructure products · Applied research

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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

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 — the returned gradient exposes the real rows in every audited frame. alphaXiv:2609.04382
• What Gradients Add to Text Leakage in Split Language Models, Counted per Token and per Document — measured per word the gain is modest; measured per whole document it triples. alphaXiv:2610.04128 · reproduction package
• The LLM-Attacker: A Unified Red-Team Framework for Privacy Evaluation of Split and Distributed LLMs — the evaluation framework behind both studies: combined manuscript, code and full evidence release (v1.0); arXiv preprint in submission.

Work with us

Planning AI infrastructure, evaluating a platform or moving an AI system into production? Tell us what you are building →