Services
Three ways we engage.
In every one, senior engineers own the work end-to-end.
01
Agentic AI & AI transformation engineering
We build agentic systems that do the work, not just demo it.
Most AI initiatives die in the gap between a convincing pilot and a system the business can trust. That gap is engineering: evaluation, governance, reliability, and honest scoping. It is exactly where we work.
What this covers
- Agent architecture: planning, tool use, memory, retries
- MCP server and client development
- LLM gateways: routing, cost and latency control
- Organization-wide AI gateway rollout: one governed entry point for every team's AI usage
- RAG and vector search
- Evaluation harnesses and guardrails
- Observability, audit logging, human-in-the-loop gates
Who it’s for
Teams stuck between an AI pilot and production.
What you keep
The agent harness, eval suite, governance playbook, and a team that can run them. AI-native is something you can inspect: evals attached, workflow gates in writing. Not a label we announce.
02
Cloud & backend engineering
The reliable, well-architected systems the business runs on.
Before agentic AI was a category, this was the day job: distributed systems that stay up, pipelines that stay correct, and infrastructure that one team can actually operate.
What this covers
- Distributed systems and microservices in Rust, Java, Go, and Kotlin (Spring Boot on the JVM side)
- AWS serverless: Lambda, event-driven architecture
- Graph databases: Amazon Neptune and Gremlin for recommendations, knowledge graphs, and identity
- Data ingestion pipelines and search APIs, including custom query DSLs
- Infrastructure as code with Terraform; Kubernetes where it earns its keep
Who it’s for
Teams modernizing legacy systems or building data and graph platforms at scale.
What you keep
The code, tests, documentation, IaC, and runbooks, written so your team operates the system without us.
03
Fractional tech leadership & ownership
Ownership, not just advice. We hold the line from business problem to production.
Consultants advise. We lead and ship. This engagement puts a senior engineer in the room with your stakeholders and in the codebase with your team, accountable for both.
What this covers
- Architecture ownership and build-vs-buy calls
- Stakeholder meetings, requirements, and technical roadmaps
- Delivery accountability: the plan and the shipping of it
- Team and process design
- Technical due diligence
Who it’s for
Companies that need senior technical ownership but not a full-time hire.
What you keep
Decisions in writing, an architecture your team understands, and a roadmap that survives our departure.
Not sure which engagement fits?
Describe the problem. If we’re not the right team for it, we’ll say so on the first call.