01CASE 01 · ENERGY · IOTHydrogen traceability platform
ProblemHydrogen buyers and auditors need proof that every kilogram was produced the way the certificate says.
ResultBatch certificates buyers and auditors can verify
We engineersovereign AIfor complex systems.
Product development, AI, data and cloud for companies across the EU and Ukraine. From the first architecture sketch to production traffic.
What would you like to solve?
Pick the problem closest to yours. Each one shows where projects usually go wrong, what we do about it and what you end up with.
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SOVEREIGN AI
Run AI on infrastructure you control
Where it usually breaksPublic AI APIs are off the table: data can’t leave the country, the site or the company. Building your own GPU stack looks like a year-long infrastructure project.
What we doWe turn the GPUs you already have, across clouds, racks and partner sites, into one pool for training and serving models. Data stays where it is; only model updates move.
How we approach it
01Audit data rules, sites and available GPUs
02Stand up the compute fabric inside your perimeter
03Train, serve and monitor your models on it
What you get
One GPU pool across all your sites
Models trained without moving raw data
Air-gapped deployment when required
Project examples
Plan my AI infrastructure →Case studies
A selection of our main projects: the problem, what we built and what changed.
02CASE 02 · MANUFACTURING · IOTDigital Product Passports
ProblemNew EU rules require product-level evidence on materials, carbon, energy and water.
ResultPublic passport page in 31 languages
03CASE 03 · AI · SOVEREIGN COMPUTESovereign AI compute fabric
ProblemTeams wanted to train and serve their own models without handing data to one cloud or managing clusters by hand.
ResultSovereign and air-gapped deployment inside the client perimeter
04CASE 04 · ENERGY · AIGeothermal exploration model
ProblemChoosing where to drill used to mean weeks of manual map work.
ResultUncertainty shown for every target
05CASE 05 · AI · INDUSTRYAI agents for plant analytics
ProblemOperators had dashboards but no time to read them.
ResultDrafts actions, a person approves them
06CASE 06 · ENERGYPlant telemetry and alarms
ProblemControl-system and meter data lived in separate tools, so problems were spotted in the next morning’s report.
ResultDouble-digit cut in time-to-detect on selected faults