Platform

A simulation core with an AI decision layer

The Open Netrikkan platform adds a four-agent AI layer on top of a conventional discrete event simulation engine — so planners get a ranked recommendation, not a chart.

Discrete event simulation, made usable

DES models a plant as things that happen at moments in time: an order arrives, a machine starts a job, a changeover finishes, a truck docks. The model advances event by event, tracking queues, utilisation and delay — and because it draws random variation from real data, it shows the range of outcomes a plan may produce, not a single average.

A machine that averages 85% utilisation on paper still queues jobs when arrivals bunch up. Spreadsheets and static capacity calculators cannot see that. Simulation can.

01Interpreter · reads plant data & constraints

02Diagnostician · finds where time is being lost

03Simulator · runs scenarios at scale

04Recommender · ranks the fix, explains why

↻ closed loop until improvement flattens

Capabilities

Built for real planning decisions

Fast to configure

Data arrives as the spreadsheets, PDFs and drawings a plant already holds; document extraction converts them into simulation inputs. A first model does not wait on an integration project.

Scenario comparison

Save, compare and re-run scenarios side by side. Every run is reproducible and explainable.

Data stays put

Language models run locally, so operational data need not leave the customer’s environment.

Additive to your stack

Designed to sit beside SAP, Siemens Opcenter and equivalent MES/WMS systems — never to replace them.

Ask about the schedule

Plain-language questions answered from the schedule’s own numbers, so figures always match the charts.

Reports and exports

Excel, JSON, PowerPoint and PDF exports for offline review or ERP hand-off.

Roles and access

Plant head, planner, viewer, sales and RFP-prep roles — each with exactly the access they need.

Gain-share pricing

Pay for results: audited baseline, agreed utilisation definition, joint measurement committee and a monthly floor fee.

Deployment

Start with the decision that costs the most today

Durations are indicative and depend on data readiness.

01Baseline1–2 weeksCollect existing schedules, order history and machine data; agree the audited baseline and the metric that defines success.

02Model2–4 weeksBuild and validate the simulation against last quarter’s actual performance.

03Pilot4–8 weeksPlanners run scenarios alongside their normal process and compare outcomes.

04ScaleOngoingMove to daily use; extend to a second line, plant or tool.

Modules

Nine engines on one core

All modules

High-mix assembly

Changeover Optimizer

Which sequence of work orders cuts changeover time this week?

Available moduleExplore

Auto components

Newline

Which equipment and layout does a new component line need?

Available moduleExplore

Any machine bank

Machine Bank Scheduler

Which job runs on which machine in the bank, on which shift?

Available moduleExplore

See it against your own numbers

A 30-minute working session: you nominate the planning decision that hurts most, and we run the closest tool against a representative case from your operation.

Book a demo Read the whitepaper