We're building the decision layer for the companies that make things.
Dimbo is Operational Decision Intelligence — the nervous system that fuses everything a company knows into one governed picture and turns it into decisions a human approves. It sees every signal, connects the ones no person connects, tells you what's about to hurt and what it will cost, and acts only as far up the autonomy ladder as you've decided to trust it. On your own infrastructure. For any company. One module at a time.
Systems of record are good at record-keeping. Nobody fuses it into what to do next.
Most of the operational knowledge inside a mid-market manufacturer is trapped — in inboxes, in the heads of the people on the floor, in machine logs nobody reads until something breaks, in PDFs nobody re-opens until it's too late. BI looks backward. Process mining reads ERP logs. RPA moves data without understanding it. Copilots bolt a chat box onto software built for something else. None of them notice that a vibration trend, a missed reply and a contract clause are the same problem.
Above the ERP and beside the machine
Dimbo doesn't replace your ERP or your machines — it reads and correlates what they hold, then surfaces the one action that matters, with the evidence attached. That middle layer, the system that fuses every signal a company emits into one governed picture and governs autonomy per process, was empty. Dimbo owns it. They ship a feature; Dimbo ships the system.
A gap that only widens
Software is copyable. The years of a specific plant's approvals and edits, plus every rejection, folded back into every proposal Dimbo makes, are not. Horizontal vendors start from zero on every customer. Dimbo starts from zero once and never resets. The data is the product; the interface is only the instrument.
Built by a practitioner with hands-on plant experience.
Dimbo comes out of hands-on experience in industrial automation and enterprise data systems, the same world its future customers work in. That's why the founding architecture is grounded in what a plant's inbox and shop floor actually look like. Every module ships only once it's been run against a demanding, realistic dataset first.
Four streams of reality, fused into one graph.
This isn't a product feature bolted on late: it's the founding design, and all four pillars feed one picture today. Every decision Dimbo proposes is built from these four streams, resolved onto one deduplicated, provenance-stamped picture where a supplier is a single entity carrying its invoices, shipments, contracts, news sentiment and machine how-tos at once.
Digital comms
Email and documents, plus the ERP records tied to them, read and understood in the sender's own language, then linked to whichever client, project, commitment or contract they belong to.
Human declaration
What your people know but never write down: a voice note or a quick photo, captured with zero friction and turned into governed, searchable knowledge.
Machine data
The state of your machines, extended through Qronis, Dimbo's industrial-connectivity layer, built to turn the signal on the floor into the same kind of graph node as everything else, seen before it becomes a complaint.
World knowledge
Supply shocks and regulatory shifts, plus counterparty moves, mapped to your actual exposure, so the world outside changes what your risk really is.
We land with the audit. We grow with the graph.
We don't ask a plant to bet on a platform. We start with one painful, measurable problem and prove the value with zero integration risk; the results argue for what comes next, a module at a time, a rung at a time.
The 48-hour Deadline Audit
A deterministic scan of open commitments and overdue invoices, plus contracts about to expire, into 30/60/90-day buckets with hard cash figures, on a data slice, no installs.
Value in your first week
A concrete report on your own numbers: what's due and overdue, plus what it's costing you. It shows your real figure. It doesn't ask you to believe ours.
Switch on more modules
From one dataset to comms, people, machines and world. Because each module writes into the same graph, the second one roughly triples value.
Promote up the autonomy ladder
Every process starts passive. It acts on its own only once it has visibly earned the trust, per process, always by your decision.
What we won't trade away.
Three commitments are load-bearing, built into how the product works from day one, which is why they hold up under a DPO's review.
Human-in-the-loop by construction
Every capability starts as a proposal a person approves. Autonomy is earned only by measured track record, promotion is always your decision, and at the top Dimbo acts with an undo window and instant downward demotion the moment a human disagrees. It's the trust model and the EU AI Act oversight obligation, met by the product's core mechanism itself.
Not a premium tier
On-prem, EU-hosted or PII-gated cloud, the same platform, the same intelligence; the only variable is where the model runs. A local LLM, sized to run on a single workstation-class GPU, makes air-gapped the default. When an external model is ever used, PII is anonymized first. Your data never has to leave the building.
Processes, not people
Dimbo observes how work moves through the company: a commitment and a deadline, plus the handoff between them. It does not score or rank the people doing the work, and it does not surveil them. Operational awareness, never surveillance. That boundary is a design constraint, written into the graph itself.
Where this goes next.
Europe has a diffusion problem: the frontier tools already exist but never reach the mid-market backbone that is the economy. At the same time the people who carry that backbone's know-how are retiring, and the AI that could help is quietly leaking company data out the perimeter. Dimbo is the deployment path that closes the gap: fast time-to-value, no system-of-record to rip out, sovereign, and human-governed.
One graph, four pillars, four engines
All four pillars feed one picture, and so do the four ways to reason over them: cross-pillar correlation, explainable forecasting, surgical what-if, and the Deadline Audit wedge. As more modules populate the shared graph, every engine gets sharper. Collection quality is the moat.
Autonomy that earns its way up
The ladder matures from visible governance toward trusted auto-execution: per process, behind a master kill-switch, every promotion audited and every action reversible. A company decides, one rung at a time, exactly how much of its own judgment to delegate.
The nervous system for European industry
We're building the decision layer for the companies that make things: sovereign by design and governed by the people who run them, compounding in value with every module added — roughly 3× per module, by design. The knowledge a company carries becomes registered, operational property that stays when its best people retire.
Talk to us.
Whether you're evaluating Dimbo for your plant or looking at where this is going next, we'd rather have the conversation directly. Start with the free Deadline Audit: see what you're about to miss, and what it'll cost, in 48 hours. On your data, on your infrastructure.