The pilot that never shipped
You tried building AI yourself or with a freelancer. It demoed well, then quietly died.

We build the custom AI agents and automations your team actually uses, from first use case to full adoption, in weeks.





Most teams have at least one. It's rarely that AI is too hard. It's that the right AI isn't working for you yet.
You tried building AI yourself or with a freelancer. It demoed well, then quietly died.
Your team burns 25+ hours a week moving the same data between systems by hand.
You're paying for AI tools nobody can prove are actually doing anything.
A bloated software bill is up for renewal, and a custom agent would cost a fraction.

concept → live
Owned by your team
Full source + docs handed over.
AI isn't magic, it's engineering. We build systems that deliver measurable results.
We're built to be the 5%. Every agent we build runs in production.
From scoping your biggest win to a live agent owned by your team, in about two weeks.
Full source, docs, and a trained team at handover. No lock-in, no black box.
Trusted by teams shipping AI in production
Built for any industry across any region. Five ways to work with us, matched to your ambition and budget.
Custom agents that take real work off your team, scoped, built, and shipped to production with you owning the result.
▋We connect your tools and remove the copy-paste tax, automating the workflows that quietly eat hours every week.
128 items / min · 94% auto-resolved
6% escalated · avg 0.6s per step
Connected · Hubspot · Snowflake · Slack
Bespoke AI software built like real engineering, tested, maintainable, and made to last beyond the demo.
# ops agent, graph w/ handoff
from wn.agents import Graph, Memory
g = Graph(state=OpsState, llm="sonnet")
g.add("intake", ingest, tools=[Zendesk])
g.add("retrieve", lookup, memory=Memory.vector)
g.add("reason", classify, retries=2)
g.add("handoff", page_human, when=conf < 0.82)
await g.run(on="new_ticket")A clear, prioritised plan for where AI pays off first, grounded in your operations and your numbers.
Get your data ready for AI, structured, governed, and compliant by design so every agent has solid ground to stand on.
A look at the agents and automations we have shipped, and the numbers they moved.

cheaper than manual monitoring
per week returned on manual work
What differentiates them is not only their technical expertise, but their deep understanding of AI governance and its pitfalls. This is not a one-off project, but a long-term partnership built on trust, professionalism, and measurable outcomes.
An AI agent is software that does not just answer, it acts. It reads a request, looks things up in your systems, and completes the task end to end, like booking the appointment or resolving the support ticket. Where a chatbot stops at a reply, an agent does the actual work inside your existing tools.
A chatbot matches questions to canned answers and hands everything else to a human. An AI agent reads the real request, takes action in your CRM, ERP or helpdesk, and resolves it. The difference is outcomes: a chatbot deflects, an agent completes the work and only escalates the genuinely complex cases.
We scope your highest-ROI use case, build a production-grade AI agent or automation around your real tools and data, and hand it over so your team owns it. The focus is shipping something live and measurable, not slide decks or endless pilots.
Most agents and automations are live in 2–4 weeks, and larger custom builds run 8–16 weeks. We ship a working first solution quickly and then iterate with you, rather than disappearing for a quarter and hoping it lands.
Yes, entirely. You receive the full source code, documentation and access, with no lock-in and no licensing strings. Your own engineers or another vendor can run and extend everything. We build it to be handed over cleanly, not to keep you dependent on us.
Yes. We build on EU-friendly infrastructure, your data is never used to train foundation models, and a Data Processing Agreement is available. Access is least-privilege with logging, alerting and a human in the loop wherever a mistake would matter.
With What's Next we help you turn questions on AI into reality.
Six weeks, that's how long it took Anthropic to ship Opus 4.8 after 4.7 landed.
Read→May 23, 2026Here's an uncomfortable number for any executive who's been pitched on AI in the last eighteen months: 95% of enterprise AI pilots deliver zero return on…
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