Decision intelligence for operators

AI builds the model.
math backs the decision.

Get a plan you can defend, for ports, grids, plants and rail. Planners describe how they decide. kint builds the model, and the solver's gap shows how far the plan can be from the best one under your rules. A person approves it, and the record keeps the name.

your team decidesA person reviews the model and releases the plan before it is used.
re-checked against the recordEach run can be re-checked against the record.
hosted in germanykint hosts and operates the platform, and EU AI Act documentation comes as drafts for your review.
Why kint

We believe the best decision within the rules should be universal.

Today, plans with a solver's bound and gap belong to the few organisations with an operations research team. kint brings that method to planning teams: one engine for any decision with rules, a goal and data.

The problem

Planners decide daily under hard limits. Spreadsheets and experience produce a plan. Nobody can show whether a better plan exists, or explain the choice, when the board, the regulator or the auditor asks.

labour rulesShift lengths, rest periods, qualifications, works agreements.
safety marginsCapacity limits, redundancy, maintenance windows.
public budgetsFixed annual funds, procurement law, cost accountability.
service dutiesPunctuality, supply security, legal obligations to the public.
How it works

from a question to a decision you can defend.

The experts who run the operation bring its knowledge. kint brings the mathematics and keeps the record.

v2
01 · IT · kint

connect data

Read-only exports from the ERP system, the terminal system or a spreadsheet. kint keeps every upload as a version.

02 · planners · agent

describe the decision

Planners explain the goal and the rules in their own words. The decision agent writes them down for review.

03 · agent · experts

build the model

The agent generates an optimization model from the rules. Domain experts check it before it runs.

04 · planners

compare scenarios

What if demand rises, a crane fails, the budget is cut? Every variant runs on the same engine.

05 · management

decide with a record

kint shows the plan, the gap that says how far from best it can be, and the limit that binds it. A person approves, and kint keeps the record.

Models that combine

written rules and learned behaviour in one model.

Written rules are solved exactly. Behaviour nobody can write as a formula is learned from history, with its uncertainty. kint joins both into one model, and level by level when a decision is nested, like berth, crane and yard.

Each decision then runs as a workflow: data in, model solved, rules checked, plan released by a planner, every step recorded.

The product

the workspace your planners decide in.

Load an example and look around. You see what needs the team today, the latest plan with its figures, the agent asking before it acts, and each run on record.

Loading the product screen

Examples, not limits

five flagships. one engine for any decision.

Ports, grids, factories, ERP planning and hospitals show the range. Any decision with rules, a goal and data fits the same engine: a new model, the same checks, the same record.

Ports and logisticsHow many cranes and carriers does each shift need so every ship leaves on time, with the fewest machines?
  • berth allocation
  • yard strategy
  • equipment per shift
manifest, for ports and logistics
Energy gridsWhich redispatch measures relieve a congested line at the lowest cost, without risking supply security?
  • redispatch
  • maintenance outages
  • asset renewal
merit, for energy and grids
ManufacturingIn which order do the jobs run on each machine, so changeovers stay short and due dates hold?
  • sequencing
  • shift planning
  • maintenance windows
takt, for manufacturing
ERP planningWhich plant and which line take which orders next quarter?
  • procurement
  • inventory
  • available to promise
horizon, for ERP planning
Hospitals and careWho works which shift next month, so every night has a senior nurse and wishes are met where the rules allow?
  • rosters
  • theatre slots
  • home care tours
regimen, for hospitals and care

Rail, public transport, municipal utilities and more run on the same engine: all use cases or bring your decision.

What an answer contains

a plan, with the reasons behind it.

A forecast tells you what might happen. kint tells you what to do, and how close the plan is to the best one the rules allow.

renewal plan 2027 · water mains

example
plan
Renew the mains in districts North and Harbour first, then the trunk line East.
Ranked list with sections, order and quarter for each.
Concrete and ready to run in your system.
binding limit
Annual budget. Crew capacity is not the bottleneck.
More crews would not change the plan. More budget would.
Which rule decides the outcome. That is where to negotiate.
sensitivity
An additional budget euro reduces expected failures most in district North.
Where the next funds do the most good.
What one more unit of a resource would be worth.
bound
Optimal within the rules. Gap 0.0 % between plan and bound, stored with the run.
No better plan exists for the model as stated, within the solver's tolerance.
The solver's bound and gap: how far from best the plan can be.
record
Asset register, version of 3 March. Model reviewed by asset management. Approved by the head of network planning.
Data version, model version, who approved it.
Illustrative example. Values come from your data.
Trust

built for operators who have to explain their decisions.

Regulated, public or private: accountability runs inside kint, from the first upload to the approved plan.

01

people decide

Approval before action
The decision agent proposes. A named person checks the model before it runs and releases the plan.EU AI Act · Art. 14
Explanation in plain language
Plans from exact models name the binding limit and what one more unit of it is worth.Art. 13
02

everything on record

Re-checkable runs
Each run pins the data version, the model version and the solver settings, so the plan can be re-checked against the record.
Complete audit trail
Data version, model version, approvals and changes, per decision.Art. 12
03

sovereign by design

Hosted in Germany
Hosted in Germany and operated by kint. Tenant-level access control keeps each customer's data separate, and kint trains no models for other organisations on it.
Documentation from the system
Drafts of the risk register and technical documentation, kept current from the running system for your review.Art. 9 · 17 · Annex IV
Founders

the people behind kint.

Research, software architecture and AI engineering in one founding team. You speak with the founders and with the forward deployed engineers who build the model with you.

more about the founders
  • Chief Executive OfficerProf. Dr. Pascal Laube
  • Chief Technology OfficerPedro Castelo Branco Lourenço
  • Lead AI EngineerJozef Mikyta
Getting started

start small. with one decision.

No large IT project and no replacement of existing systems. kint sits next to what you already run.

01

decision workshop

One day with the planners. Together we pick one recurring decision and write down its goal, rules and data.

Result: a scoped decision
02

pilot on your data

kint's forward deployed engineers (FDEs), engineers who work directly with the customer, build the model with the planners and compare its plans with today's.

Result: measured difference
03

into operation

The approved workflow runs whenever your systems call it. Each plan waits for release, then goes to the planning system through an API you control.

Result: a decision in production
hosted in germanyRun and monitored in German data centres, no installation on your side.
your data centreFor operations that must not leave your network, we scope an installation inside it.
inside your systemsEmbedded in the existing planning software via API.

bring one decision. leave with its plan, bound and gap.

A conversation with kint's FDEs about one decision and its rules. You leave with a first model your planners can read.

Company
kint UG, Germany
Contact
hello@kint.pro