Everything you need to know
With more than 80 million users relying on our Empolis Industrial AI Platform to deliver accurate information, no one has to worry about making misguided decisions again.
We process data from billions of external and corporate sources, always extracting the most relevant information for users to access right when they need it.
As the cornerstone of our AI-based enterprise cloud applications, the Empolis Industrial AI Platform ensures that service technicians can always count on the best solutions for resolving technical issues, sales experts can consistently put together the best packages, machine operators always receive the necessary instructions for their workflows, and content editors economically deliver complete and legally compliant product documentation to customers.
The Empolis Industrial AI Platform serves as the foundation for our AI-based applications for security and investigative agencies, public administration, and healthcare.
The secret to our platform lies in its core blend of established, manageable, and transparent AI techniques. In combination with statistical methods such as deep learning and large language models, the outcomes we achieve are even suitable for use in auditing and legal contexts. Our approach also involves integrating the very latest advancements in AI to support and speed up operations, resulting in more efficient analysis of large datasets.
Harnessing the industrial potential of generative AI
Ever since ChatGPT first burst onto the scene, there is no doubt that the large language models at the heart of generative AI technologies have dramatically changed the way we interact with machines and technical systems today. Not only do they feature impressive abilities for seamless language interaction, but they can also understand us like a colleague, guide us to the right information, and assist us with troubleshooting. They are even capable of summarizing information or tasks such as maintenance reports, customer documentation, and plenty more besides.
What these technologies regularly lack is reliable and up-to-date domain knowledge, the ability to draw logical conclusions, and the capacity to forget things. This is why the Empolis Industrial AI Platform combines the potential of large language models with the transparency of AI processes.
It is only through this combination of statistical AI methods (machine learning, neural networks, and large language models) and knowledge-based AI (knowledge graphs, semantic searches, and decision trees) that generative AI can meet the requirements of authorities, industry, and business.
The AI-based platform for integration into your existing end-to-end application landscape
Generative AI processes can automatically create composite sketches from witness descriptions covering all conceivable variations – including with and without features such as glasses and beards.
What’s more, AI is even capable of determining an entire sequence of events when combined with location drawings or 3D models.
While generated images and reports such as these are not considered evidence in their own right, they certainly help to compare against confirmed data to identify matches and discrepancies. This makes them the perfect complement to the verified information in databases, records, and knowledge networks.
Situation reports are often created from extensive documents spanning hundreds of pages, but for these to be effectively utilized, they need to be condensed to highlight the most critical information for decision-makers. They are typically then analyzed and summarized by a few individuals who often find themselves working against the clock.
This is where generative AI can assist with both the evaluation of new information and the generation of concise reports. And to ensure the process is as reliable as it is efficient, generative AI is also complemented by symbolic AI processes.
In the world of medicine, radiological findings, surgical reports, and medical letters are often generated using speech recognition. Yet while the process itself is fast, the resulting diversity of document formats and phrasings makes these documents unsuitable for quality optimization and automation.
Reports like these have to be structured and coded for billing purposes at the very least. This makes AI the perfect solution, since speech models can process the dictated material and seek clarification in case of uncertainties. And since any medical knowledge is contributed from verified and structured models, all statements can be checked for completeness and consistency.
The Empolis Industrial AI Platform
1) DATA HUB
AI needs data – lots of data – and often data with many different dimensions. This is precisely where our Data Hub comes in to manage it all, whether it’s large amounts of unstructured text or millions of highly detailed data points. The Data Hub is flexible in that it offers straightforward operation on a notebook for development purposes, but can also be distributed across multiple nodes during production. And for rapid access to the right data, the data hub features a search SDK that leaves no stone unturned and can handle every possible similarity search, from simple text similarity to complex semantic similarity methods.
2) KNOWLEDGE GRAPH
AI needs control, and knowledge graphs are the simplest yet most powerful way to capture complex relationships between data, verify them, and initiate automated processes based on recognized information.
Our Knowledge Graph offers a number of unique features that make it the ideal solution for data scientists and domain experts. It can be fully configured graphically, providing not only all the possibilities for modeling property graphs, but also generating visual interfaces and integrable REST APIs as a low-code platform from the model. What’s more, its patented rights management system is so granular that even security authorities approve it as a manageable AI technology. Link to the WP
3) INSIGHT ENGINE
AI needs knowledge, because data alone can only answer a fraction of the questions users ask of it. Our impressive Insight Engine really comes into its own when structured information needs to be extracted from unstructured texts. To this end, it leverages the full spectrum of computational linguistics and a multitude of pattern recognition techniques – all in more than 30 languages.
4) LARGE LANGUGE MODELS
AI needs to be both usable and controllable. Generative AI, for example, can address the ‘blank page’ problem through human-in-the-loop processes to generate new content or significantly simplify human-machine interaction through innovative user interfaces. Large language models offer the simplest interface available to humans for operating machines: language. And just as there are many different languages, technical languages, and jargons, there are also various language models specialized for a whole host of purposes and audiences. This is why we have designed our platform to accommodate many different language models. The choice is yours on which model to use and whether it’s hosted in the cloud or operated on-site, or we can make that decision together based on your requirements.
The perfect solution
We look forward to a no-obligation discussion and will be happy to work with you to determine which product will provide you with the greatest added value.