AI engineering · Consulting · Delivery software
We design, build and run AI for regulated, high-pressure businesses — from integration and GenAI assistants to private models on your own hardware — with senior consultants and the delivery platform they work on.
The first 30-minute session with a senior engineer is free.
What we do
AI services
We engineer, train and host the model logic your business needs — including infrastructure that never leaves your building.
All AI servicesConsulting
Six practices, one delivery model: measure the bottleneck, fix it with people who have fixed it before, and hand over something your team can run.
Products
SyncupHUB, the delivery platform for the AI era, with QA Intelligence, Visual Canvas and Document Spaces included at no extra cost.
All productsSyncupHUB · the platform
SyncupHUB is the delivery platform our teams run on. It reads the delivery signal as it forms and tells you what to do about it — six capabilities working from the same model of the work.
AI for every persona
Executives, programme and product owners, scrum masters, engineers, QA, DevOps and people leaders each get AI shaped to their job, working from one delivery reality rather than separate copies of it.
Predictive intelligence
Velocity, predictability and carryover read across sprint history to forecast the release weeks before the deadline, with the reasoning attached so leaders can challenge it.
Leadership cockpit
Closure health, ownership, financial exposure and delivery traceability in one decision surface, built on the data the teams update every day, so there is no separate reporting model.
Human + AI workflow
Agents draft requirements, tests and plans; a person approves, and the approver is recorded. The guidance improves on your own delivery history rather than a generic benchmark.
Delivery Digital Twin
A live model of delivery that reads dependencies, capacity, carryover and risk as they form, so you see what a decision does to the release before you commit to it.
Token efficiency
Private, right-sized models with unmetered in-tenant usage. Routine work runs on small models and cached context, so intelligence scales with output instead of with the invoice.
QA Intelligence, Visual Canvas and Document Spaces come with every plan: no separate licence, and no features held back for higher tiers.
Test cases drafted from your acceptance criteria. Approved by your QA lead.
QA Intelligence in detailA whiteboard that stays attached to the work.
Visual Canvas in detailLiving documents, right beside the work they describe.
Document Spaces in detailAlso from SyncTRiQ: SyncV2X — every vehicle, reporting in real time. See SyncV2X
Who we work with
Eight sector practices, each with a page of its own: the forces reshaping it, the frameworks it answers to, and where teams usually start.
Insights
What new rules ask of engineering teams, when private AI pays off, and how to make delivery measurable — each ending in something you can do this quarter.
The EU’s NIS2 Directive extended cybersecurity duties to thousands of organisations in manufacturing, transport, health, digital services and more. Most of its ten minimum measures are things engineering teams build and run.
An assistant that answers from your own documents is only useful if people can check it. What it takes to build one that grounds every answer, respects permissions and says when it does not know.
The EU’s Digital Operational Resilience Act has applied since 17 January 2025. Most of what it asks lands on the teams that build, test and run software. Here is what that means in practice.
Ways to start
Four fixed, low-risk ways to find out what we would change before you commit to more. Each one leaves you with something in writing.
Free · 30 minutes
Bring a real requirement, release or backlog. A senior engineer works through it with you, live, with an agenda instead of a deck.
Two weeks · fixed price
A named senior architect and delivery lead map the current state, quantify the bottleneck and hand you a plan with numbers attached.
Two weeks · quoted first
Find out whether AI pays back on one real workstream, on your own data, against a success measure agreed before we start.
Before your next renewal
Right-size what you license across productivity, security, data and developer tooling, and consolidate the vendors behind it.
Perspective
Most delivery stacks are five vendors held together by exports and goodwill. SyncupHUB is one platform, so a story, its tests, its diagrams and its documents all point at the same record.
How the platform fits togetherQuestions
Anything else, ask us directly — a senior engineer reads every enquiry.
Contact usNothing, for the first conversation: a 30-minute working session with a senior engineer is free, and written commercial options follow within 48 hours. Beyond that, discovery is two weeks at a fixed price and an AI proof of value is two weeks, quoted before it starts. What either produces is yours to keep.
No. All three are included with SyncupHUB at no additional cost — one subscription, no separate licences, and no features held back for higher plans. SyncV2X, our connected vehicle platform, is licensed separately because it serves a different operation entirely.
Only if you want it to. SyncupHUB syncs work with Jira in both directions, QA Intelligence imports results from the automation you already run, and Document Spaces can sit alongside an existing wiki. Nothing requires a rewrite to start producing value.
Human-in-the-loop by design: AI proposes, and accountable people approve, with the approver recorded. Models can run privately inside your own tenant or through named providers you allow under policy, and answers carry their source references.
Yes — roughly half our engagements are pure consulting. We use our own products internally to run the work, but there is no obligation to license anything, and we will say plainly when a product is not the right fit.
A proof of value runs two weeks against one real workstream with a success measure agreed up front. Discovery engagements typically start within a fortnight; a full delivery pod takes three to five weeks to assemble.
A 30-minute working session with an engineer, not a slide deck. Bring a real requirement, release or backlog and we will show you what changes.
