Production-grade AI integration into real business systems — from intelligent automation and enterprise search to AI-powered workflows and analytics. We move teams past the demo — LLM features, RAG pipelines, and workflow automation inside the products you already run, with evals, guardrails, and cost controls baked in from day one.
Production-grade AI integration into real business systems — from intelligent automation and enterprise search to AI-powered workflows and analytics.
Applications launched across industries since 2015.
Clients worldwide — most stay long past the first launch.
Four disciplines anchored to the same production standards — from first prototype to live rollout.
A handful of failure modes break what should be a clean production rollout. Each one is preventable — and every one is on our day-one checklist.
of enterprise pilots never reach production — most fail on evaluation, observability or cost governance, not on model quality.
Industry consensus · Gartner, McKinsey
A repeatable engineering rhythm — every engagement runs on the same playbook, so you know what each week looks like before we start.
Five operating rules that keep engagements on-spec, on-time, and on-budget — backed by transparent reporting your finance team can audit.
A redacted example of the weekly report every active client receives — same format regardless of engagement size.
Every phase ships with a written scope and a fixed price. Scope changes pause work and trigger a written change order — never a surprise invoice.
We pause at 90% of the cap and check in. You decide whether to continue, descope, or wrap — no $30k overrun emails the week after a sprint closes.
Every Friday you receive a one-page report: hours, spend, what shipped, what is next. Reconciles to the invoice line-by-line.
You pay for engineers who can ship — no padded teams of juniors learning on your budget. Average tenure across our delivery team is 6+ years.
Right-sized infra, autoscaling, model selection, response caching. Your monthly cloud and LLM bills get reviewed every sprint, not at end-of-quarter.
Three production deployments with the architecture and outcomes our clients consented to share. Named clients available on request.
Six sectors where we have delivered measurable outcomes — each with its own regulatory shape, data realities, and operational pace.
A modern, battle-tested stack spanning cloud, backend, frontend, and mobile — chosen to ship secure, scalable products faster.
Pick the one that matches where you are. Not sure? Talk to us — we'll recommend based on your goals, timeline, and risk appetite.
Send a short brief — what you're trying to ship, where you're stuck, what's worked and what hasn't. We'll come back within one business day with an architecture sketch and an honest read.
