Company
Innovation Lab
Where emerging technology gets pressure-tested — so our recommendations come from experiments, not vendor slides.
The Innovation Lab is where we pressure-test emerging technology before it touches client roadmaps — so our recommendations come from experiments, not vendor slides.
Current focus areas
Applied AI: retrieval-augmented generation quality, multi-model routing, agentic workflows, and evaluation harnesses that make LLM systems measurable.
Cloud-native patterns: serverless economics, container platform ergonomics, and infrastructure-as-code practices that smaller teams can actually operate.
Product engineering: performance budgets, accessibility tooling, and design-system automation that raise the default quality of everything we ship.
How experiments become capability
Each experiment ends with a written verdict: what works, at what cost, with what risks. Winning patterns become internal playbooks and reference implementations — which is how new technology reaches client projects already de-risked.
Focus areas
What the Lab Is Testing
Applied AI
RAG quality, multi-model routing, agentic workflows, and evaluation harnesses that make LLM systems measurable.
Cloud-native patterns
Serverless economics, container platform ergonomics, and infrastructure-as-code practices smaller teams can operate.
Product engineering
Performance budgets, accessibility tooling, and design-system automation that raise our default quality bar.
Written verdicts
Every experiment ends with a documented verdict — what works, at what cost, with what risks — before it touches client work.
Let's Build Something That Scales
Tell us about your project and get a senior engineer's honest perspective — free, and within one business day.