What we do
Seven problems we solve, and the projects where we solved them. Open any project for the full story.
01 · 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.
What you get
—One GPU pool across all your sites
—Models trained without moving raw data
—Air-gapped deployment when required
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
Project examples
Plan my AI infrastructure →02 · AI AGENTS
Put AI agents to work on real processes
Where it usually breaksThe pilot looked good. In daily use nobody can say why the model answered what it did, it can’t see live data, and nobody signed off on its actions.
What we doAgents connected to your documents, live plant data and digital twins. They answer with sources, spot what changed and draft the next action for a person to approve.
What you get
—Answers that cite their source
—Agents that see live operational data
—A person approves every action
How we approach it
01Pick one process and measure how it runs today
02Connect the agent to the data it needs
03Run in shadow mode, then hand over with approvals
Project examples
Test AI on my process →03 · DIGITAL TWINS
Test changes on a digital twin first
Where it usually breaksEvery change to a plant, fleet or client portfolio gets tested on the real thing, because there is nothing else to test it on.
What we doLive digital twins that mirror your assets from real data, in 2D or 3D, with what-if runs you can trigger before touching anything real.
What you get
—A live mirror of your assets
—What-if runs before real changes
—3D views operators can walk through
How we approach it
01Model the assets and how they connect
02Sync the twin with live data
03Add what-if scenarios for the decisions you face
Project examples
Scope a twin →04 · IOT
Connect machines, meters and sensors
Where it usually breaksMachines produce data all day, but it sits in separate systems. Nobody sees the line in real time, and faults are found after the shift.
What we doEdge devices that read your equipment safely, keep working when the network drops, and stream into one live view with alarms. We read data; we never write to safety logic.
What you get
—A live view of every asset
—Alarms before failures
—Data that keeps flowing offline
How we approach it
01Walk the site and map every data source
02Install edge gateways next to your OT partners
03Bring everything into one live view with alarms
Project examples
Connect my equipment →05 · DATA PIPELINES
Bring scattered data into one place
Where it usually breaksEach team and partner has its own copy of the numbers. Reports take days, totals disagree, and sharing data with partners needs months of legal work.
What we doPipelines that collect, clean and connect what you already have, plus shared data spaces where partners exchange data under clear rules without giving it away.
What you get
—One source of truth
—Reports in minutes, not days
—Data shared without handing it over
How we approach it
01Map where data lives and who uses it
02Build pipelines into one trusted store
03Set access rules per team and partner
Project examples
Fix my data →06 · TRACEABILITY
Prove where every number came from
Where it usually breaksCertificates and ESG figures are built in spreadsheets. When an auditor or buyer asks for the source, there isn’t one, and new EU rules now require it.
What we doSystems where every figure links back to the reading or document it came from, records show any later edit, and buyers can check a product or batch themselves.
What you get
—Figures traced to their source
—Records that show any edit
—Proof buyers and auditors accept
How we approach it
01Trace each reported figure to its source
02Record readings so any edit is visible
03Publish passports or certificates buyers can check
Project examples
Make my data auditable →07 · ON-CHAIN SYSTEMS
Make records tamper-proof on-chain
Where it usually breaksSeveral parties need to trust the same records, but nobody wants one of them to own the database. A spreadsheet or a central log can be edited without anyone noticing.
What we doWe anchor records from your existing systems on a public ledger, so any later edit is visible, and build the smart contracts, tokens or governance around them when the product needs it.
What you get
—Records any party can verify
—No single owner of the truth
—Contracts ready for audit
How we approach it
01Decide which records need on-chain proof
02Anchor them from your existing systems
03Add contracts, tokens or governance where needed
Project examples
Review my contracts →Project examples
A selection of our main projects. There are more we can walk you through on a call.