AI & Automation
AI Engineering
We build AI features that hold up in production rather than in a demo. That means grounding, evaluation and a person deciding anything irreversible.
In short
Production AI systems, end to end.
What we deliver
- Architecture for the AI feature and the system around it
- An evaluation set written before the prompts
- Cost and latency instrumentation per request
- Multi-provider fallback so one outage degrades latency, not the feature
A good fit when
- A prototype works and nobody knows how to make it reliable
- You need to measure whether a change helped
- The output feeds a decision that matters
Technologies and methods
Chosen for each project, to fit your systems and your team.
- Anthropic
- OpenAI
- Python
- TypeScript
How we deliver
From first conversation to production.
Four stages on every engagement, scaled to the size of the project.
- 1
Understand
Clarify the users, goals, constraints, and current systems.
- 2
Plan
Map the main components, data, and integrations before implementation.
- 3
Build
Develop and review the work in small, testable increments.
- 4
Prepare
Plan deployment, operations, documentation, and ownership.
More in AI & Automation
- Agentic AI SystemsMulti-agent systems with approval gates.
- Generative AI & LLMsLanguage models wired into your systems.
- RAG & Enterprise SearchAnswers from your documents, with citations.
- AI Workflow AutomationManual work automated, every step audited.
- Intelligent Process AutomationRepetitive steps removed from daily work.
- Machine Learning & MLOpsModels trained, deployed and monitored.
- Computer VisionImages and video turned into records.
- Document IntelligenceStructured data out of unstructured files.
- Conversational & Voice AIAssistants that cite sources and refuse.
- AI Strategy & GovernanceWhat to automate, and what to keep human.
- AI EnablementYour team productive with AI tooling.
Prefer to talk it through?
A private consultation, 30 minutes with the founder, in your time zone.
Interested in AI Engineering?
Tell us what you are working on. We start by understanding the problem, the people, and the systems involved.