THE DEPLOYMENT GAP
The models are commoditised. The hard part is data access, governance, integration and adoption inside a real organisation. That work is our job.
Embedded, not remote
A dedicated pod that sits with your team, in your market and language, instead of a ticket queue in another timezone.
In production, then proven
We ship one use case into production before scaling, and measure it against the business case agreed up front.
Built to hand over
Your team owns the outcome. We document, train and step back, then take on the next use case with you.
THE DEPLOYMENT POD
Two roles in every engagement. One makes it work, the other makes it matter.
Forward deployed engineers and deployment strategists work side by side inside your organisation. Pods are kept small, so decisions don’t wait on meetings.
330+
Specialists across engineering, data, strategy and creative
8
Countries with local teams on the ground
2011
Building and running technology since
60+
Industry awards for work that shipped
HOW AN ENGAGEMENT RUNS
From s360-led to full client ownership. By design.
Three phases, each with a defined exit. You always know what we own, what you own and when that changes.
Phase 1 · s360-led
Get the right use case into production, fast
We start with your data, find what is worth building and ship it, so the value is real before you scale.
Phase 2 · Shared
Scale what works, retire what doesn’t
The pod extends the pattern across markets and teams, with measurement and guardrails that hold at volume.
Phase 3 · Your turn
Hand over the keys
Your people run it. We document, train and stay available for the next use case instead of the last one.
WHAT WE DEPLOY
From the customer-facing edge to the back office.
The same pod, the same platform. We start wherever the value is clearest and reuse the plumbing for the next use case.
Sales and marketing
Lead scoring and routing, account research, content production at scale and customer service agents.
Internal processes
Document and contract processing, order and invoice workflows, knowledge search and reporting on demand.
Data and engineering
Pipelines, integrations, governance and monitoring, built once so the next use case takes weeks instead of months.
THE STACK WE WORK IN
Built on the platforms you already trust. Chosen per use case.
From the cloud your deployment runs on, to the models behind it, to the tools our engineers ship with every day.
Cloud
Google Cloud, Microsoft Azure and AWS, on the environment your IT and security teams already approved.
Models
Claude, Microsoft Copilot and OpenAI models, chosen per use case on performance, cost and where the data goes.
Development tools
Claude Code, Cursor and Codex: the same tools we help your team adopt, so pilots reach production in weeks.
Tech partnerships
See the cloud, model and data partners we work with.
WHERE WE WORK
Deep in brands and retail, across the functions where AI pays off.
Fifteen years of data and technology work for European brands and retailers, now applied to AI deployment across the whole value chain, not in one department.
Brands and retail
Retail and e-commerce, fashion and apparel, home and living, beauty, DIY and hardware, and marketplaces and delivery.
Functions
Sales, marketing, customer service, operations, finance and admin, HR, and product and engineering.
QUESTIONS & ANSWERS
Questions about working with FDEs. What IT, legal and procurement ask first.
Short answers on how a pod works, how we get through security and compliance review, and what happens when we step back.
What is a forward deployed engineer?
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How is this different from a consultancy project?
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Who is in a deployment pod?
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Can you help us through legal, security and compliance review?
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Where do we start?
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Do we have to use a specific AI platform?
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What happens when the pod steps back?
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Tell us the problem you want solved. After a 30-minute call you get a written brief with success metrics, a build estimate and the named team who would run it.