AI & Automation
Applied AI and automation woven into real delivery — not a bolt-on buzzword, but part of how the software actually works.
AI is only useful when it's engineered into a real workflow. We build LLM-powered features, retrieval systems, and automation that remove genuine operational drag — with the guardrails, evaluation, and observability that keep them trustworthy in production. This is the core of what we do, not a side offering.
What you get
- LLM-powered features — assistants, copilots, summarization, extraction
- Retrieval-augmented generation (RAG) over your own data
- Agentic and tool-using workflows with guardrails and human review
- Evaluation, monitoring, and cost controls for production AI
- Process automation that connects the systems you already run
Built the way engineers expect
We work in the open — versioned, reviewed, and reproducible. Here's a taste of what delivery actually looks like.
// AI features ship with evaluation and guardrails,
// not just a prompt and a hope.
const answer = await assistant.run({
query,
retrieve: fromKnowledgeBase({ topK: 6 }),
tools: [lookupOrder, createTicket],
guardrails: [noPII, gradeAnswer(">=0.8")],
});Discover, build, scale
Discover
We scope goals, constraints, and users before writing a line of code.
Design & Build
We design, engineer, and ship in tight iterations on a modern stack.
Scale & Support
We harden, monitor, and grow the system with you long after launch.
Tools & technologies we use
Let's scope your project.
Tell us what you're building — we'll come back with a concrete plan for ai & automation.