This company provides AI-powered data mapping software designed to streamline the configuration of industrial data solutions. The platform supports various data platforms and automates the extraction of data points from machine control systems like Siemens and Beckhoff. This results in significant time savings, reduced error rates, and simplified integration of legacy machinery.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial automation projects often require manual data mapping between PLC control systems (e.g., Siemens, Beckhoff) and enterprise data platforms such as iFlow, Kepware, or Cybus. This process is labor‑intensive, prone to configuration errors, and typically involves installing multiple vendor tools and searching through disparate documentation. The resulting delays increase project costs and limit the ability to quickly integrate legacy or new equipment into digital workflows.
Solution
Machinetalk provides an AI‑driven software platform that automates the extraction and translation of control‑system data into ready‑to‑use interface configurations. Users upload source files—PLC code, PDFs, CSVs—and the engine parses the data, identifies tags, signals, and data structures, then generates mapping definitions compatible with the target data infrastructure. The solution is control‑independent, currently supporting Siemens and Beckhoff controllers while allowing future extensions. It integrates directly with existing gateways (iFlow, Kepware, Cybus, etc.) without requiring replacement of the customer’s current stack. By reducing manual effort, the platform cuts mapping time to roughly one‑fifth of traditional methods and lowers the error rate, enabling faster commissioning and more reliable data pipelines. An intuitive web UI guides engineers through the process, and the SaaS model offers annual contracts with the option to terminate at year‑end, avoiding vendor lock‑in.
Target Audience
The primary customers are automation engineers, system integrators, and OEMs who need to connect legacy or new machinery to enterprise data platforms for monitoring, analytics, or MES integration.
Features
- AI‑powered parser that ingests PLC source code, PDF manuals, or CSV exports and automatically extracts data points and signal definitions.
- Automatic generation of OPC‑UA, MQTT, or proprietary gateway configuration files tailored to the selected data platform.
- Built‑in validation engine that flags inconsistent tags, missing mappings, and potential runtime conflicts.
- Seamless integration with iFlow, Kepware, Cybus, and any standard IIoT gateway via REST/FHIR‑compatible APIs.
- Control‑system agnostic architecture supporting Siemens and Beckhoff today, with a roadmap for additional PLC families.
- Web‑based drag‑and‑drop UI that visualizes tag hierarchies and allows manual adjustments before export.
- Version‑controlled project repository enabling rollback and audit trails for compliance purposes.
- Annual subscription model with a clear termination clause, ensuring no long‑term lock‑in.