We design, build and run the whole thing: websites, mobile and web apps, internal systems, AI systems from scratch, AI added into the software you already have, and agents wired into your stack. Scope, price and timeline agreed before we start.
Fixed price or retainer Production handover included Traced, evaluated, supported
One team for the product, the infrastructure and the AI layer — from a single landing page to an agentic system running against your production data.
Marketing sites, landing pages, e-commerce stores and SEO-ready web platforms — designed, built, deployed and maintained for you.
Cross-platform mobile and web apps, from first MVP to store launch, with the backend, auth and analytics wired in.
Internal tools, dashboards, CRMs, ERPs and workflow systems shaped around how your team actually works.
AI-native products built end to end: retrieval over your data, copilots, vision and speech, and LLM pipelines shipped as reliable production services.
We add AI into the systems you already run — legacy software, internal APIs, databases and dashboards — without a rebuild.
Agents wired straight into your stack that take real actions — support, sales, ops and back-office — behind approvals and a full audit trail.
The same production discipline we apply to our own platform — short feedback loops, working software early, and a clean handover at the end.
A short call to map the goal, the systems involved and the outcome we will measure.
You get a working increment early and often — no six-month black box.
We ship to production: infrastructure, monitoring, domains and handover docs included.
After launch we measure, tune and extend — the same traces, approvals and evaluations we run on our own agents.
Start with a defined project, keep us on a rolling retainer, or bring us in purely for the architecture and the AI layer.
One defined project with a price, timeline and deliverables agreed before we start.
A rolling team for continuous delivery — new features, integrations and upkeep.
You have a team — we design the architecture, build the AI layer and hand it over.
Give us the goal and the systems involved. We come back with scope, timeline and price — no forms-into-the-void, a person reads it.
