Eclipse Data Innovations, developer of SourceOne® EKPS, has announced a major expansion of its SourceOne system that, it says, enables operations teams at large-scale industrial organisations to build custom, AI-powered workflow applications using natural language and their own operational data.
The enhancement allows organisations to rapidly create operational tools tailored to specific business challenges without relying on traditional software development projects, Eclipse says. The release expands SourceOne’s advanced analytics and Operations Research capabilities while making optimization, simulation and decision-support tools more accessible to operational teams across mining, manufacturing, construction and other asset-intensive industries.
The new capabilities are designed to help organisations address high-cost operational challenges, including equipment and labour optimisation, predictive and prescriptive maintenance, supply chain coordination, materials flow visibility, quality and yield improvement, and energy and resource efficiency. While operational environments differ by industry, many of the underlying analytical and decision-making problems are structurally similar across large-scale operations, Eclipse claims.
“For decades, operations teams have had to adapt their workflows to the limitations of enterprise software,” Karin Boan, COO of Eclipse Data Innovations, said. “With this release, the people who understand an operational problem best can now create practical tools around their own workflows and data, without waiting on lengthy development cycles.”
Unlike conventional enterprise systems that require organisations to work within rigid workflows, SourceOne integrates fragmented operational information into a unified knowledge framework that supports analytics, optimisation, simulation and AI-assisted decision making across existing infrastructure, the company says. The system is designed to complement and extend legacy environments.
“Most industrial organisations already have decades of valuable systems and operational data,” Boan added. “The challenge is that those systems were never designed to work together with shared operational context. SourceOne preserves and extends those investments by creating the context that modern AI and advanced analytics require to succeed.”
A central component of the release is the expansion of SourceOne’s Operations Research capabilities. The enhancement provides broader access to advanced optimisation modelling, simulation workflows and operational scenario analysis, all of which can be applied directly to daily business decisions with greater speed and confidence.
Sean Hunter, Director of Product Development at Eclipse Data Innovations, said: “Optimisation and analytical tools have traditionally been difficult to use, isolated within specialised teams, or disconnected from operational workflows. SourceOne makes these capabilities more accessible by combining operational context, integrated data and AI-assisted workflows so organisations can rapidly build and refine tools around their specific operational requirements.”
This latest release resembles other innovative technologies, Hunter says, but with more powerful analytic engines for heavy industry.
SourceOne’s model-based architecture uses Data Ontology and Knowledge Graph technologies to organise fragmented enterprise information into operational context that supports advanced analytics, AI systems and decision-support models. This structured foundation enables organisations to develop workflow-specific applications that can better reflect real-world operational conditions and relationships across the enterprise.
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