Ai-OPs develops Koios, an industrial AI platform designed to help heavy-industry operators improve efficiency, process uptime, and profitability. The platform runs real-time AI at the edge on existing control systems, allowing organizations to retain control of their data and deploy on-premises, in the cloud, or in air-gapped environments. Koios supports deployment through Docker or Kubernetes and connects with industrial equipment and systems using protocols and interfaces including OPC-UA, Modbus TCP, Ethernet/IP, SOAP, SQL, and REST.

Users can run predictive models on live process data, manage models and devices, and create operational dashboards, historical trends, and process KPIs. Koios also supports custom Python logic, including PID controllers, state machines, and data transformations, delivered as hot-reloadable packages. Its platform features include configurable model inputs, isolated package stacks, and access to serial and GPIO hardware. Security and administration capabilities include role-based access, encrypted connections, certificates, and audit logging. Ai-OPs provides platform documentation, developer resources, support, and licensing information for organizations deploying industrial AI.