A small senior team, inside your environment, at a fixed price. Week one with your users. Weeks two and three building. Week four, live in their hands.
Already running something that costs too much? We take over application support as well, and make most of it unnecessary. See how.
We find the part of the problem that matters most and build around it. The rest can wait until it has earned its place.
We sit with the people who do the work. By Friday, the smallest version worth building is agreed and priced.
Senior engineers, your environment, real data. First demo on Thursday.
Users try it mid-week. What they say changes what we ship on Friday.
In users' hands, with documentation, infrastructure and IP handed over. Then we decide together what comes next.
The reason our four weeks is different: the people building your product run production systems for a living. So it is built to be operated, and we will operate it.
Paid to make work disappear. Everything we learn becomes automation and a living map of your systems. When it is time to modernize, the people who run your systems are the people who plan it.
Queue owned, service levels held. Top ten repeat problems root-caused, seven gone for good.
Repeat work becomes runbooks, then automations. Every fix lands on a living system map.
Cost down 40%, incidents down 55%, a roadmap approved from the map. No second discovery.
Representative delivery pattern. References available on request.
Two honest proof points beat ten vague ones.
Most clients start with a four-week build. Some start with support, data, AI or an ERP. Whichever door, the model is the same: senior engineers inside your environment, visible outcomes weekly, knowledge that stays with you.
Blank page to production in four weeks.
No product fits your workflow, the workflow is your edge and you won't rent it, or integrating an off-the-shelf tool costs more than building what you need.
Week one watching the work, not a requirements workshop. Weeks two to four build the smallest useful version and put it in users' hands. Then fixed milestones and weekly demos.
Cloud-agnostic infrastructure as code, API-first, observability from the first deploy, documentation written as we go. Run cost designed in.
Working software in four weeks. Everything in your repositories. All IP on final payment. A small senior team throughout.
Operating data into answers your teams get themselves.
Data sits in the ERP, the maintenance system, spreadsheets and vendor portals. Every question is a ticket and nobody trusts two numbers that disagree.
Start from the questions the business cannot answer, build backwards. Pipelines into a governed lakehouse with clear ownership, analytics on top that teams use directly.
Ingestion, modelling and quality rules, a cloud-agnostic lakehouse, self-service dashboards, a foundation ready for AI.
Questions that took days answered the same hour. A platform your team can extend, documented and handed over.
Intelligence inside the software you already run.
AI programs stall at the pilot: a chatbot on the side, a proof of concept that never touched real data. The failure is rarely the model. It is workflow, data and governance.
Document processing for invoices, certificates, port and crew papers. Decision support for maintenance and procurement. Classification and routing in ticketing and ERP. Retrieval over your own manuals and history.
Baseline one workflow, build with a human in the loop, evaluate against your real cases, deploy inside the existing system. Our own support tooling runs this way today.
Data stays in your environment. Every AI decision logged. Consequential actions need human approval. Evaluation shared before rollout, drift monitored after.
We take the queue. Then we shrink it.
Support is bought as headcount. Tickets close, service levels get reported, and the same eight problems return every month because nobody is paid to stop them.
Each ticket is classified against a growing map of your systems, so patterns surface in weeks. Fixes become runbooks, runbooks become automations, automations become self-service.
AI triage that routes. Self-service for resets, access, report reruns. Automatic remediation for stuck syncs, failed jobs, restarts. Tuned to your stack, handed over as yours.
Service levels held from week one. A living system map. Support cost down 40% in our representative engagement.
Modernize from evidence, not estimates.
Programs fail before they start. Discovery is run by people who never operated the system, and the estimate is wrong by signing day.
We start from the system map: which modules matter, which integrations are fragile, which data is used. Then target architecture, waves the business can absorb, parallel run until each wave proves itself.
Cloud migration, re-platforming, API layers over legacy, breaking monoliths where it pays, retiring what nobody uses.
A roadmap grounded in operating reality and a migration your users notice only because things work better.
Start from software that works, not a blank page.
Vessel operations, crewing, maintenance, procurement and compliance, integrated and running around the clock. Businesses that cannot stop, and regulation that redefines "correct".
The same discipline applies to any operationally complex business.
Most ERP journeys start with a multi-year implementation and a consulting army. Ours starts with software you can see running on the first call.
The promise only holds if the money agrees with it.
One fixed price, agreed in week one, paid at milestones you can see. No change orders for things we should have asked about.
A fixed monthly fee against a measured baseline, stepping down at quarterly checkpoints as incidents fall. Never per head, never per ticket.
All IP on final payment. Source, infrastructure, the system map, runbooks and automations are yours from day one.
We work alongside your people and train them on everything we deploy.
NDA before the first conversation. Economics measured before any promise.
Our people work inside your environment. Nothing happens without a name on it and your approval behind it.
How to start
Tell us what's not working. We find the part that matters most and build around it.
Not four weeks of workshops. Four weeks to put something useful in your hands.
Tell us what's not working