We make the complex simple
uni software plus GmbH supports customers in achieving ambitious goals in analytics, modeling and simulation across different industries. With a mixed team of software engineers, physicists and mathematicians we provide tailor made solutions for finance and industry. Furthermore, uni software plus GmbH acts as reseller and provides consulting for Wolfram technologies and is the worldwide provider of UnRisk.
Wolfram is renowned as one of the world’s leading companies for computation and data science. Their technology and solution stack allow to fully integrate computation into complete workflows, moving you seamlessly from initial ideas all the way to deployed individual or enterprise solutions. Wolfram technologies are appropriate at all scales: from one-off mini-applications to large-scale infrastructure projects. uni software plus GmbH has been a Wolfram reseller for more than 20 years. Our experts consult you in product selection and support you to integrate Wolfram solutions into your IT landscape.
We provide end-to-end assistance in the transformation to a digital enterprise, from the definition and implementation of data collection strategies to data curation and high level data analysis capabilities, from modeling to machine learning. Our goal is to turn inert data lakes into competitive advantage by providing our customers a superior basis for making faster, better, and more informed decisions.
Simulations & Modeling
Our team of senior physicists, mathematicians and engineers has more than a decade of experience in mathematical modeling and numerical simulations, and a vast knowledge of algorithms in a wide variety of fields. We team up with our customers to gain a better understanding of their processes, develop accurate mathematical models, and package them into user-friendly tools that integrate well into the customer’s IT landscape.
Quants, Capital Managers, Risk Managers, Account Managers, Advisory. Together with our partners we offer solutions for different finance industry sectors under the brand names UnRisk and UnRisk Omega. Our solutions are distinguished by high performance, intuitive handling, a high degree of automatisation and the ability to be embedded into various scenarios. We have successfully managed and executed a large number of projects from the development of single valuation functions for complicated structured products, technical and statistical analysis of data, to the development of large scale enterprise wide systems for risk management and xVA calculations.
Our teams support enterprises in developing or refining their I4.0 strategies. Our expertise includes designing ETL processes (collect data from machines or sensors and extract information from a variety of data formats and protocols), global data logistics (transport data „from the edge“ where it is created to on-premise or cloud systems), designing and growing data lakes, and extracting value from data through mathematical models and cutting-edge machine learning. We share our experience gained in numerous digital transformation projects with our customers and assist them in creating processes and business models based on their data.
Check out our software products
Our Algorithm Service (AS) is a highly flexible service framework for interactively connecting industrial IoT data with your self-developed algorithms, which is based on Java Spring ™ and supports several underlying database persistence layers via JPA. Any given IoT input packets can be continuously imported using a HATEOAS compatible REST interface or by Kafka and are uniquely identified using JSON meta information or AVRO serialization/deserialization. AS enables you to easily deploy your individual algorithm suite supporting different technologies such as native Executables, Scripts, Java, Scala, Python, Mathematica Notebooks, MatLab Runtime, etc., and connecting them to incoming data based on meta information tags. A customizable and secure web interface offers rich upload, download, management and search functionalities for different user roles within your company.
Device Management - Fog Computing
uni software plus develops an IoT edge device for collecting and processing industrial IoT data. The device supports dozens of connectivity protocols (e.g., MQTT, Kafka, REST) and backend systems (e.g., Hadoop, Cassandra, SQL databases). Fog computing applications - from data compression to machine learning - can be deployed on the device as docker containers. Computing thus takes place "on the edge" where the data is created, enabling fast reaction times and avoiding the security implications of sending data to cloud systems.
The devices can be centrally managed through a modern web application that provides monitoring (device status, memory, cpu, security notifications), planning and roll-out of OS and security updates and management of the deployed fog applications (container management, roll-out of application updates, ...). Intellectual property contained in customer-specific fog applications is protected by strong security mechanisms where on supported hardware, the TPM chip can be used as a trust anchor.