SourceOne is a system that will grow with your Company: Custom-built solutions, point solutions and vendor or product-specific platforms (or any combination thereof) may be functional on a short-term basis by relying on scripts and APIs to communicate with each other. However, they are not necessarily designed to be interoperable or compatible overall. As the company grows and introduces additional products, or updates older solutions, it becomes increasingly difficult – and often unsustainable – to maintain that integration and to get the insights needed from the data in an accurate and timely manner. In contrast, SourceOne EKPS can grow with your company. The system can support as intricate or as basic an operation as a company wishes, and that can be expanded as their needs and demands change.

Unlike most platforms in the market, SourceOne can handle data in multiple formats and integrate data from multiple vendors and sources (e.g., drillholes, models, schedules, csv files, database files, etc.). This versatility allows users to consolidate and manage data from different technologies, streamlining the integration process.

Investing in point solutions or vendor-specific platforms seems inexpensive at first. But it often necessitates the purchase of new compatible products to replace incompatible legacy solutions, along with the related training costs. In contrast, with SourceOne, users can continue using their existing preferred solutions while taking advantage of the SourceOne integration and collaboration capabilities, reducing training efforts and facilitating a smoother transition.

Other solutions only focus on accumulating data. But data, by itself, often is not particularly useful as it lacks meaning or context. Data only becomes actionable intelligence after undergoing a transformational journey. SourceOne EKPS provides the structure for that journey, based on the system’s ability to understand the meaning of each integrated piece of data and automation to provide answers on demand.

Creating a custom-built solution requires a considerable amount of time, skills, and resources. In contrast, implementing an existing solution like SourceOne allows organizations to expedite the data integration process. By leveraging the EKPS, users can quickly set up their data infrastructure (and configure it to meet their specific needs), saving time and avoiding delays in managing data.

Maintaining a custom-built solution and/or a network of point solutions requires long-term investment in terms of resources, financial commitments, and ongoing management. With SourceOne, organizations can rely on a dedicated system that is continuously updated and perfected by the provider. This alleviates the burden of managing and maintaining an in-house solution, allowing users to focus on their core activities.

SourceOne is built without technology barriers and incorporates state-of-the-art technology, including an integration layer, a Data Ontology layer, and a modeling layer (Knowledge Graphs) to truly transform data and deliver valuable insights. Bringing it together in one place provides a basis for artificial intelligence (AI) and machine-learning (ML) technologies to be applied, as well as operational optimization programs.

SourceOne provides a centralized repository for storing information related to due diligence. This feature is particularly useful when dealing with property acquisitions or with investors. Users can securely store and organize relevant data within SourceOne, ensuring easy access and retrieval for stakeholders involved in the decision-making process.

Our software optimally incorporates the latest advances in software design, by leveraging Data Ontology and Knowledge Graphs. It has no legacy limitations, making it fast and agile, and flexible for integration.

A fresh approach to software interaction. Inspired by design principles from outside industries, we have redesigned the interfaces, to make complex mining problems easier to solve.

Our solutions vastly improve efficiency and production. Optimization of performance in all areas is a priority, from visualization to the software engines.