Services

What we do, in detail.

Three deep practice areas, each with a clear menu of deliverables and typical engagement shapes. We are not generalists — these are the problems we chose to care about.

Practice areas: 3
Engagement length: 4w — 12m
Team size: Boutique
Delivery: Remote / Global

The infrastructure layer that everything else depends on.

Cloud Architecture & DevOps

Our cloud practice helps teams stand up, harden, and operate production infrastructure that performs under real-world load and passes real-world audits. We work across AWS, Google Cloud, and Azure, and we favor boring, well-understood technology over novelty.

What we deliver

Multi-account landing zones with IAM, guardrails, and org-level policies
Kubernetes platforms (EKS, GKE, AKS) with golden paths for product teams
Terraform / OpenTofu codebases structured for long-term maintenance
CI/CD pipelines with environment promotion, approvals, and rollbacks
Observability stacks: metrics, logs, traces, SLOs, and on-call practices
Security baselines aligned to SOC 2, ISO 27001, and HIPAA requirements
Cost governance: tagging, budgets, rightsizing, and reserved capacity

Typical engagements

01Platform engineering audit & 90-day roadmap
02Cloud migration & multi-account restructuring
03Kubernetes platform build-out
04SRE practice establishment

Bringing LLMs and ML systems into production, responsibly.

AI & Machine Learning Integration

We help product and engineering leaders turn AI experiments into systems that earn their keep. The hard parts are rarely the prompts — they are evaluation, retrieval, latency, safety, and cost. We work on the end-to-end picture, not the demo.

What we deliver

LLM-powered features: chat, search, summarization, structured extraction
Agentic workflows with tools, planning, and error-recovery patterns
Retrieval pipelines: chunking strategy, embedding selection, hybrid search
Evaluation harnesses: golden sets, rubrics, and regression tracking
Model selection & provider strategy across Anthropic, OpenAI, Google, and open-source
Guardrails: prompt-injection defenses, output validation, PII handling
Cost, latency, and reliability instrumentation for AI features

Typical engagements

01AI product discovery & feasibility
02RAG system design & build
03Evaluation & observability program
04AI security & governance review

High-leverage advisory work when the stakes are highest.

Technical Consulting & Architecture

Sometimes the right move is not more code. It is a clear system design review, an honest second opinion on an architecture, or interim leadership during a critical chapter. We step in for a bounded period and leave you with a stronger foundation.

What we deliver

System design reviews with written findings and prioritized recommendations
Technical due diligence for investors, acquirers, and boards
Fractional CTO or VP Engineering leadership during transitions
Organizational design: team topology, interfaces, and hiring plans
Re-platforming and modernization roadmaps with sequencing and risk analysis
Cost, complexity, and build-vs-buy analyses

Typical engagements

01Architecture review (2 — 4 weeks)
02Technical due diligence (1 — 3 weeks)
03Fractional CTO retainer
04Re-platforming strategy

Not sure where your project fits? Write anyway.

If we’re not the right match, we’ll tell you — and often we can point you somewhere better. A ten-minute email is a very cheap way to find out.

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