Contact
Request a demo, or ask how DynamicPlantMesh fits the equipment and systems you have. Either way, one email starts it.
Request a demo
The buttons open a prefilled message in your mail client. Fill in the blanks and we prepare a demo that looks like your plant, not a generic one.
The prefilled email asks for:
Times are in SAST. We reply with a proposed slot and a short list of what we would like to see beforehand.
The integration email asks for:
What happens next
No build project: you configure a plant solution on DynamicPlantMesh; you do not build one.
We walk through your plant, your equipment protocols and the questions your team asks most. You tell us what a first win looks like.
We install DynamicPlantMesh with its historian backend, connect a first set of equipment and configure dashboards, trends and KPIs for one area together with your engineers.
Your team goes live on that area with a configured solution and owns the KPI maths from day one. No software release stands between an engineer and a changed KPI.
FAQ
DynamicPlantMesh ships with its own historian backend on a relational database. Equipment and systems connect to it through OPC-UA, OPC classic DA and MQTT v5, and other tools read from it through governed REST APIs and MCP.
Yes. The platform installs on Windows hosts at the plant, with the historian database beside it. The assistants run through DBS Invenio, which can be deployed with models hosted on your own infrastructure — ask about the local-model option for your deployment.
OPC-UA servers, legacy OPC classic DA servers via COM interop, and anything that speaks MQTT v5 to the embedded broker.
Your own engineers. KPIs, event triggers and calculated traces are expressions authored in the app — no software release required.
No. Every AI feature stays off until it is explicitly enabled and configured, and the rest of the platform works without it.
The company
Dynamic Build Systems is a South Africa-based software company. We build DynamicPlantMesh, the plant analytics platform, and DBS Invenio, the AI platform behind its in-app assistants.
We work with production-site deployments in process industries, alongside the engineers who run them, and we measure ourselves on a configured pilot in one area, not a build project.
Stellenbosch, South Africa
Request a demo and we come back with a proposed time in SAST.