AI demos are easy. Reliable AI is hard. We build the hard part.
We find where AI pays, build it on your data and stay until it runs without us. The engineers who scope the work are the engineers who write the code.
01
AI Strategy & Readiness
Know where AI pays before you invest. We map the work AI can improve, put a value and an effort on each idea, and check your data, cloud and security against what production needs. You get a plan ranked by your business goals. The first step has a fixed price, and the result is yours.
AI Launch Check. Three weeks to a ranked list of use cases. The usual way in.
Use Case Validation. Test the ideas you already have on real data before you commit budget.
Readiness Review. Data, cloud, security and skills, measured against production.
Governance & EU AI Act. Risk class per use case, clear ownership and a policy people follow.
02
Prototype to Production
A working solution with real users in weeks. A small senior team builds on your data, not on a demo set. Every cycle ends with real users and a decision: scale it or stop paying for it. What scales is built for production from the first line.
Rapid Prototyping. Working software in front of users, not slides.
Evaluation & Testing. Accuracy, speed and cost per answer measured before go-live.
Production Build. Secure, integrated with your systems, deployed on Azure.
03
Knowledge & Document AI
Let your people ask your own documents. Assistants grounded in your sources, with a citation behind every answer. Built on retrieval, so the answer comes from your data and not from the model’s memory.
Knowledge Assistants. Policies, manuals and case files, searchable in plain language.
Tender & Contract Analysis. Requirements, risks and draft answers from hundreds of pages.
Transcription & Summaries. Meetings and calls turned into structured notes.
04
Agentic Automation
Hand over the repetitive work. Keep the judgement. We fix the process first, then give the routine steps to AI agents that work in the systems your team already uses. Existing RPA flows get smarter instead of thrown away.
Process Redesign. Remove steps before you automate them.
AI Agents. Read, decide and act across email, ERP and case systems, with a person approving what matters.
RPA Modernisation. UiPath and Blue Prism flows upgraded with AI for unstructured input.
Training & Handover. Your team runs and extends the automation without us.
05
Machine Learning & Vision
Models trained on your data, aimed at one decision. What to pay, what to flag, what to stop before it leaves the site. We build the model, the pipeline and the monitoring, then hand all three to your team.
Price & Spend Intelligence. Expected price per supplier and category, deviations flagged.
Computer Vision. Cameras check what is loaded, made or delivered, in real time.
Forecasting & Anomalies. See demand shifts and errors early.
MLOps. Azure ML pipelines that retrain and report on their own.
06
AI Operations
Keep it reliable after launch. AI rarely fails loudly. A skipped file, a drifting score or a cost that doubles goes unnoticed. We watch quality, cost and uptime, and fix problems before users see them.
Monitoring & Evaluation. Answer quality, drift, latency and cost per call on one dashboard.
Guardrails. Audit trails, retries and fallbacks. Nothing fails silently.
Managed AI Service. We run it under an agreed service level.
Handover. Your people run and extend it without us.
Trusted by:
PWC
Iver
Swedish Space Coporation
DeLaval
Axel Johnson
Workforce Logiq
Academic Work
CapMan
Forefront
Sandvik
Collectum
Levler
SJ
Handelsbanken
Volkswagen
SPP
PWC Iver Swedish Space Coporation DeLaval Axel Johnson Workforce Logiq Academic Work CapMan Forefront Sandvik Collectum Levler SJ Handelsbanken Volkswagen SPP
AI at work today
Projects
03
We’re a value driven
People First company
Performance
We believe that performance is about effectiveness, not effort. While it's true that effectiveness is more difficult to measure than effort, if you think about it, it’s really the ability to accomplish a goal and create results in the most efficient way possible that makes a difference in a project.
Kindness
In our workplace, we make kindness and wellbeing a priority. Why? Because it makes people feel happier. For us, kindness not only means being gentle with ourselves and with other people around us, but it also means bringing an authentic quality to our daily work and the way we do business.
Trust
Great teams thrive on trust. With high psychological safety, people feel safer to take risks, and more confident that they won’t be embarrassed or punished for admitting a mistake, asking a question, or offering a new idea. It’s about creating environments where people can rise to their natural best.