SUPERSOLIDLOGISTICS
Evening traffic with refrigerated trucks crossing a white steel arch bridge over the river in Rotterdam

EUROPEAN TRANSPORT · AI-NATIVE · RUN ON LOOPS

The solid state
of logistics.

A European transport company that runs on its own AI loops and builds them for other operators. We move freight across Europe, and we make logistics businesses AI-native one process at a time.

The enemy

Logistics still runs on guesswork.

Each of these is an open loop, and each one costs time and margin every day.

A transport planner working late in a small office, three screens of maps and spreadsheets, a stack of paper CMRs beside the phone
22:10 — one dispatcher, every signal
  1. A pallet voucher that never comes back. The pallets go with it.
  2. A CMR that's gone. You find out something was wrong with the shipment when it's too late to fix.
  3. Stricter rules, higher tolls. Driving-time rules tighten every year, and every slip ends in a fine.
  4. Everything arrives at once. Trucks, telematics and planning all send signals, and one dispatcher has to catch them.
  5. Hours run out before the freight does. The driver has to stop with cargo on board while the next load is already waiting.

Plenty of companies sell AI to fix this. Almost none of them run a fleet.

Two pillars, one company

Move & Transform.

A grey DAF XG with a refrigerated trailer at the loading docks of a cold store in the port of Rotterdam

Pillar 01 — the core and the test bench

Move

European HGV transport and forwarding on our own AI loops. We own the trucks, and our margin depends on the loops working. That makes our fleet the test bench.

Move freight with us
Early morning in a bright planning office: a planner with a coffee looks out over the yard as two white trucks with refrigerated trailers leave, her laptop showing every task checked off

Pillar 02 — built from experience

Transform

We make your operation AI-native one loop at a time, starting with your documents, then dispatch and maintenance. Each loop is built for your business and checks its own work. Security and privacy are designed in from day one.

Make your operation AI-native

How it works

We run on loops.

A loop is a process that closes. It senses, decides, acts, checks its own work and learns, then runs again a little better. By loop we mean three things: the route a truck drives, the feedback loop that turns data into a decision, and the AI loop that runs a process end to end and checks itself.

Bots do the fixed work, such as pulling telematics, reading a photo or sending a message. AI agents make the decisions. One agent does the work, a second checks it, and a person has the last word.

The SuperSolid loop: sense, decide, act, check, learn — repeating SENSE DECIDE ACT CHECK LEARN THE LOOP runs · checks · remembers
// THE OPERATIONAL LOOP — SENSE → DECIDE → ACT → CHECK → LEARNEvery run makes the next one better.
Top-down aerial view of a Dutch roundabout as a perfect circle, with a single SuperSolid truck on the ring
// THE PHYSICAL LOOP — THE SAME DIAGRAM, SEEN FROM ABOVEClose the loop. Free the time.

Every loop we close is one less moving part. A closed loop holds. Close enough of them and the operation reaches solid state, where nothing slips.

Every process is a loop

Loop by loop, starting with the paperwork.

We build and run loops process by process. Each one runs live and checks itself. What we deliver is the loop, and together your loops form the org chart.

At the loading dock, a driver in a hi-vis jacket photographs a signed CMR consignment note with his phone
The document loop starts here
  • The document loopstart here
    CMRs first, plus delivery notes, customs papers and invoices. Each document is read and checked before it is filed, and exceptions are flagged at once. It takes seconds, and nobody retypes anything.
  • The dispatch loop. Matches demand to capacity, plans the route, checks the load factor and keeps what it learned for the next trip.
  • The ETA and visibility loop. Every shipment is tracked, and the customer has the answer before they call.
  • The maintenance loop. Spots wear early and books the workshop before a truck breaks down.
  • The finance loop. Quote to cash and the full books, reconciled as work happens. Billing errors are caught before an invoice goes out.
  • The people and planning loop. Drivers' hours and rosters, run on the same system as everything else.
  • The meta-loopthe loop above the loops
    The loop that improves the other loops. It finds failures, fixes each one at the lowest level that works, and keeps every failed attempt on file.
Inside a truck cab at night in slow traffic, rain on the windscreen; a phone in a dashboard holder shows ETA 21:47, on time
ETA 21:47 — answered before anyone asks

No new software

The loops run in the apps you already use.

Your team learns nothing new. The loops run in Telegram and WhatsApp, where your people already work. AI agents there do the work a room full of people used to do by hand. Replies come in seconds, and your people get time back for work that needs a person.

Close-up of a temperature display on the front of a refrigerated trailer reading minus 18.0 °C, raindrops on the casing
−18.0 °C — one of thousands of data points a day

From measurement to meaning

Measuring is easy. The loop decides what to do about it.

Trucks, chats, spend, revenue and the full books are all measured. Collecting the numbers is the easy part. Knowing what to do with them is the hard part. Every day the loop picks the one decision that matters now, acts on it and checks the result. That goes well past asking ChatGPT to write your emails and LinkedIn posts.

For every data point, every day, the answer to “so what?”

Why the loops hold

Four rules. No exceptions.

  1. The referee stands outside the field

    The checker, the budgets and the permissions sit outside anything the loop can change. A rule that lives only in a prompt gets optimized away. A rule built into the system holds.

  2. Measure before it goes live

    A change goes live only when measurement shows the problem is fixed and nothing else got worse. We apply that to ourselves first.

  3. The written core grows in small steps

    Every loop runs from a written core: the values, limits and current context of the business, carried into every run. It is never rewritten in one go, only extended in small, tested steps. That keeps the loop on course.

  4. Failure is data

    Every failed attempt is kept. Negative results are the cheapest way to make the next loop smarter.

Trust

AI runs the loops. You stay in charge.

A planner with a tablet and a driver in a hi-vis vest talk next to the cab of a DAF XG in a truck yard
The final call stays with people

In every loop the checker is separate from the maker: one agent does the work and another checks it. A person makes the final decision on anything that matters. AI puts in the hours, and your people keep the judgment. We treat drivers as colleagues and customers as relationships. The AI gives your team its time back and answers to them.

Your people get better work, and they keep the final say.

Proof by practice

We run our own trucks on the loops first.

Everything we build for you runs in our own operation, on our own fleet of 31 trucks, before we hand it over. Proof, not promises.

See the proof

We rebuilt our company with AI. Everything moves. Nothing slips.

Two doors, one operator