We design and build sovereign AI infrastructure — bare-metal HPC you own, open-weights models you control, and formal guardrails that make agent behavior provable instead of probable.
Formal grammars + symbolic checks wrap every model output. Constrained decoding and invariant validation, so agents can't emit what the spec forbids.
Quantized, fine-tuned open-weights models on custom inference servers (vLLM / TensorRT-LLM) — tuned for your workload, priced like hardware, not tokens.
Bare-metal H100 clusters, RDMA fabrics, Slurm or Kubernetes scheduling, strict network isolation. The physics layer, tuned for maximum GPU saturation.
Rented APIs and best-effort infrastructure are fine until they aren't. We build systems where you own the hardware, the weights, and the guarantees.
Custom cluster architecture sized to your actual workload — air-gapped racks for classified and regulated environments, or bare-metal performance tuning for the cluster you already have. From procurement spec to first job scheduled.
INFRA: NVIDIA H100 · RDMA · SLURM · LINUX KERNEL TUNING
We wrap model outputs in formal grammars and symbolic checks: constrained decoding guarantees structure, and invariant validation rejects outputs that violate declared safety properties — enforced in the serving path, not hoped for in a prompt.
LOGIC: SMT SOLVERS · GBNF GRAMMARS · INVARIANT CHECKING
Bridge your on-premise fortress to elastic capacity — burst architectures that reach for AWS, GCP, or GPU clouds only when the queue demands it, with data-gravity and egress economics designed in from the start.
CLOUD: AWS CDK · EKS · TERRAFORM · APKALLU CLOUD
Migrate from generic APIs to fine-tuned open-weights models you own: quantization that preserves the quality you measured, high-throughput inference serving, and sovereign RAG pipelines where your data never leaves your perimeter.
AI: vLLM · TENSORRT-LLM · QUANTIZATION · SOVEREIGN RAG
Consulting that ends with your team running the system — documentation that executes, not shelf-ware that decays.
Two weeks inside your environment: workload profiling, GPU utilization, data flows, security posture, and spend. You get a findings report with a costed roadmap — useful even if the engagement ends there.
Cluster topology, model strategy, and guardrail design — reviewed against your compliance requirements and stress-tested on paper before a single PO is cut.
We rack, cable, tune, and deploy — kernel to scheduler to inference server to guardrails. Every configuration lands in version control from day one.
Living documentation, runnable playbooks, and operator training. Optional managed support after handoff — but the goal is that you don't need us.
For teams shipping AI features who need to know what could go wrong.
For teams moving off rented APIs without going fully dark.
For classified, defense, and strictly regulated environments.
Stop renting your future. Tell us about your environment and we'll start with a confidential infrastructure audit — findings first, commitments after.