Services

What we deliver, and how far we take it.

Every engagement starts with a written RFC and ends with systems your team can run without us. Four service lines, one standard.

01 — AI systems engineering

Models that run where your data lives

Model fine-tuning: LoRA/QLoRA and full fine-tunes where justified, on your data, on your GPUs or VPC.
Quantised self-hosted inference (llama.cpp, vLLM), including multimodal models on single GPUs.
Evaluation harnesses and automated AI pipelines (for example image evaluation at scale).
Agentic-system security review: tool and MCP boundaries, prompt-injection exposure, data-exfiltration paths.
AI SOC responders integrated with your XDR/SIEM.

02 — Platform engineering & cloud architecture

Multi-cloud architecture on AWS, GCP and Azure.
Kubernetes at scale: EKS/GKE, multi-cluster, Istio/Linkerd, Karpenter, zero-downtime cluster replacement.
GitOps with ArgoCD and Kargo; infrastructure as code with Terraform and Pulumi; migrations between them with zero downtime.
Serverless-to-Kubernetes migrations (AWS Controllers for Kubernetes), Bazel monorepos, release engineering.
Cost, lifecycle and reliability engineering.

03 — Security engineering

Zero-trust production access (temporary elevated access on AWS SSM and equivalents).
XDR and SIEM rollouts and migrations; DevSecOps pipelines with quality and security gates.
Supply-chain hardening for IDEs, runners and build systems.
eBPF telemetry and kernel-level network security tooling.
Immutable backup and recovery designs; SOC 2 readiness evidence.

04 — Fractional principal engineer

Ongoing senior ownership of your platform, security posture and delivery pipeline for teams that cannot hire a full-time principal.
Architecture reviews, RFCs, and hands-on implementation, not slide decks.

Describe the system and the outcome. We answer with the engagement shape and a written scope.