Our services

Three practice areas, built around the engineering problems we’ve spent twenty-five years solving.

Production-Grade AI Architecture

AI systems built to survive production — auditable, observable, accountable.

Enterprise CTOs and technology leaders moving AI from pilot to production.

Most enterprise AI doesn’t fail on the model. It fails on what surrounds it — evaluation harnesses, observability, rollback paths, data contracts. We architect AI systems with the discipline you’d apply to core banking: every output traceable, every change reversible, every failure mode named before it ships.

  • AI capability assessment and readiness review
  • Reference architecture for production AI systems — RAG, agents, evaluation harnesses
  • Build vs buy vs integrate analysis
  • Observability, rollback and incident-response design for AI workloads
  • Evals, guardrails and responsible-use policy
  • Data contracts and ingestion design for AI features

Technical Due Diligence

Independent, thorough, and built for decisions with real money behind them.

PE/VC firms, M&A advisors, and investors evaluating technology-intensive assets.

For PE and VC firms, the difference between a good deal and an expensive lesson often comes down to what the data room doesn’t show. We get into the codebase, the architecture, and the team dynamics — and give you a clear, independent picture before you commit.

  • Architecture review and scalability assessment
  • Engineering team capability and delivery velocity
  • Security posture and compliance gap analysis
  • Technical debt quantification
  • AI/ML capability assessment — model quality, evals, observability
  • Risk scoring and red-flag report

DevSecOps & Cloud Architecture

Secure foundations that hold under real load.

Scaleup engineering teams and CTOs building AI-native products on AWS.

When teams move fast — especially with AI-assisted development — security gaps compound quickly. We help engineering teams build AWS infrastructure that’s secure and compliant from day one, without turning every deploy into a bottleneck.

  • AWS architecture design and review
  • ISO 27001 and SOC 2 readiness assessment
  • Security automation and CI/CD pipeline hardening
  • IAM and least-privilege access design
  • Compliance-as-code implementation
  • AI-assisted development workflow design

Not sure where to start?

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