Applied AI · end-to-end operations

Your process. Running itself.

We take over complex operational processes and run them end to end — people in the loop only where judgement matters. Any industry. Paid on outcomes.

Order from Chaos

Illustration of a live operations console. Example case: Freight invoice #48213. It moves through received, understood, checked, decided and done.

  • Received: Email from carrier · 3 PDFs
  • Understood: Invoice · 14 line items extracted
  • Checked: Matched to 2 shipments · 1 rate deviation
  • Decided: Deviation within tolerance → approve
  • Done: Posted to ERP · carrier notified
2,418 closed end to end today
82% touchless
6m 40s median cycle

illustrative

What we take over

Outcomes, not software.

What the same engine does

Shown in the live scenes below

Plans that re-plan themselves

When a delay, the weather or a customer change hits, routes, slots, berths and sequences are re-planned in minutes, not at tomorrow's meeting.

Problems caught before they cost

Shortages, mismatches and deviations are flagged with the evidence, and the decision goes to the right person.

Every party in sync

Carriers, customers, crews and authorities get bookings, updates and documents without anyone chasing.

Compliance checked before work starts

Permits, declarations, eligibility and invoices are checked against the rules and the actual state of the work.

How it's delivered

  • Fully managed: we host and run it, so there is nothing for your team to set up or maintain. Running it in your own cloud is available on request.
  • Workbench mode: if your team wants to be hands-on, they review, correct and run cases themselves in the same workspace our agents use.
  • Connects to your existing WMS/ERP/mail systems; no rip-and-replace.
  • Model-agnostic; models are chosen and swapped per task based on eval results, not vendor preference.
  • Accepted against an eval suite before go-live.

Evals

Every module ships with a test set built from the customer's own data. Acceptance is a measured score against that suite — not a polished demo. The eval harness keeps running in production so drift is caught before it becomes an operations problem.

Any operation · end to end

Wherever work gets complicated.

The process changes from site to site. The pattern doesn't: messy inputs, many systems, a few hard decisions. We take it over and run it end to end.

  • INBOUND ASN matched to truck · slots assigned
  • STOCK Cycle count gap found · recount queued
  • PICK Wave released · 42 orders batched
  • HUMAN Damaged pallet → claim draft for review
  • OUTBOUND Carrier booked · labels + customs docs sent

Distribution warehouse · demo

Inbound, putaway, picking and dispatch run themselves; people handle the exceptions.

How we work

From tangled to done.

Illustration of one example workflow, Freight billing. Before · 4 handoffs · 3 systems · 2 days. After · runs end to end · 9 minutes.

Illustrative example, not a real customer. The same process, before and after it runs on the engine.
01

Scope

Agree the process we take over and the result we are accountable for. Two weeks at most.

02

Deploy

The solution is live inside your own cloud account and connected to your existing systems.

03

Evaluate

Real data from your operation becomes the test set, and nothing goes live until it passes.

04

Run

We operate the process day to day, keep measuring results, and extend to the next one the same way.

Straight talk

Most AI vendors won't tell you when AI isn't the answer. We will.

We don't put AI on every problem. Some processes first need clean data, connected systems or a simple rule — and an AI layer on a weak foundation just automates the mess.

If that's where you are, we'll say so, and we can build that foundation with you: data cleanup, system integration, digitised workflows. Then AI goes where it actually pays off.

Order from chaos starts with a foundation.

Start Here

See the evals before you commit

Send us a sample of your real workload — last month's inbound documents, emails, or quotes. We run it through Attractor Engine and show you the eval results before you commit to anything.

Start a Pilot
The Team

Complex systems don't need complex solutions. They need the right perspective. Two founders, one shared obsession with turning chaos into clarity.

Jenny Schildt

CEO & Co-Founder

In logistics since 2009, including Hellmann Worldwide Logistics. Co-founded Shipsoul, exited in 2025 and now focuses on AI.

Timo Tokakuna

COO & Co-Founder

Former Strategic Advisor to the Chairman and Board of Dar Al Arkan, Saudi Arabia's largest real estate developer, and MENA fund manager at Samba Capital and Frankfurt-Trust. CFA, CAIA, PRM; angel investor and start-up advisor.

Tell us about your process

Describe the documents, emails, quotes or receiving flow that slow you down. We'll explore whether a pilot fits.

Prefer email? hello@attractorlabs.ai