Refresh software combines modern AI, deterministic algorithms and two decades of proprietary Material Data Intelligence to turn complex material, product and service data into structured, standardized and usable enterprise information. It can operate as specialist enterprise software in its own right — or as a domain-intelligence layer within broader ERP, MDM, cloud and AI platforms.
What general-purpose AI doesn’t know
Modern AI is increasingly available to everyone. Deep, validated domain knowledge is not. Working reliably with enterprise material and product data requires more than language capability. It requires classifications, attributes, taxonomies, nomenclature, mappings, standards, validated examples and an understanding of what a correct result should actually look like. Refresh has spent two decades developing, validating and applying that intelligence across real enterprise data. This gives Refresh something general-purpose AI does not have by default: the context to produce better material-data results — and the evidence to recognize when those results are wrong.
Hybrid by design
Refresh does not rely on one technology for every problem. Our technology has evolved from deterministic algorithms and classical machine learning through to today’s LLMs, and we continue to use the right technologies for each task. Modern AI is used where it adds capability and flexibility. Where enterprise master data requires certainty, our ontology, validation framework and deterministic methods provide controlled, repeatable results without LLM-style hallucinations. The result combines the capabilities of modern AI with the accuracy, control and repeatability expected from enterprise software.
Built for the enterprise technology stack
Refresh is designed to complement the systems that already run large organizations rather than become another system of record. It can support data used across ERP, MDM, procurement, maintenance, engineering, PLM, supply chain and compliance, while operating alongside existing applications, transformation programs, internal teams and systems integrators. For established enterprise platforms, Refresh can provide specialized data cleansing, classification, enrichment and standardization intelligence. For AI and cloud platforms, it can provide domain knowledge, structured enterprise context and validation that general-purpose models do not inherently possess. In both cases, the role is the same: make enterprise data cleaner, richer, more structured and more intelligent before it is consumed elsewhere.
Focused technology, broad applicability
Refresh is technology-independent by design. It does not require customers to replace their existing enterprise platforms, preferred implementation partners or internal processes. Instead, it contributes a focused capability to the surrounding technology landscape. This is particularly valuable where multiple systems, business units, languages, classifications and legacy data sources must ultimately work from a common data foundation. The value is not in forcing customers into another ecosystem. The value is the proprietary intelligence Refresh contributes to theirs.
Proven at enterprise scale
Refresh has been developed for the complexity of large global organizations: millions of records, multiple languages, large classification structures, heterogeneous source systems and demanding governance requirements. Our technology has been used across industrial, manufacturing, mining, chemical, consumer, life-sciences and public-sector environments. Two decades of real-world use have continuously strengthened the underlying data, automation, classification and validation capabilities within Refresh.
A specialized intelligence layer
The enterprise technology landscape is changing rapidly, but one requirement remains constant: AI and enterprise applications are only as useful as the data and domain intelligence available to them. Refresh focuses deeply on that layer. Rather than trying to become the ERP, MDM, cloud or AI platform around it, Refresh provides something each of those platforms can use: two decades of accumulated intelligence for understanding, structuring and mastering complex enterprise material data.
See how Refresh fits
Whether you are evaluating Refresh for your own enterprise data, incorporating it into a broader transformation or technology platform, or simply exploring what our technology can do, we’d be happy to show you how it works.