Unlock the Future of Knowledge.
Your Single Source of Truth.
The Cortex-Information Platform in version 6.2. is now available for you. Registered users who are interested have the opportunity to utilize the Starter Edition at no cost on-site.
A central system for sustainably deriving the right information and insights from data
The current state
The Cortex way
Our Vision
We believe that the challenges of the digital future require a novel approach to connecting data to advance disruptive technologies
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A platform for easily visualizing complex dependencies in process chains to reduce your costs and risks significantly
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Quick project implementation through data utilization without a predefined schema - strong acceleration of time to market
- Flexibility and agility to bring your ideas to life, creating a new form of collaboration
Our Mission
Valuable Solutions for Your Future
The rapid schema-less integration of your data enables diverse perspectives on information and cross-domain digitalization through the linkage of new relationships between business objects. By better planning and simulation, value-oriented approaches will be made more transparent in the future.
Innovative tools simplify the view of processes and various applications on any hardware – including cloud, on-premises, or edge computing.
Aspects of digitisation
- Digital Customer Experience
- Digital Workplace
- Internet of Things / IoT
Data Integration
The Cortex Information Platform generates the context-oriented multidimensional view across many data sources - whether master data, transactions or key performance indicator systems
Digital Workflow
Linking operational and analytical processes in one system leads to more transparency and attention to the actual state
Agile Project Development
The agile networking and storage of content through novel structures leads to evolutionary adaptation and ease of use by software developers and users
Cortex InformationPlatform
The Cortex-IP empowers the agile development of prototypes in alignment with individual processes, leveraging your data, and facilitating seamless implementation up to the production stage without limitations.
By integrating analysis and transaction data into a single platform, it allows for flexible changes with minimal effort. This significantly accelerates project realization (time to market) and reduces the total cost of ownership (TCO), while boosting productivity.
With Cortex-IP, you gain access to a comprehensive suite of tools to tackle diverse challenges, empowering you to implement digitization initiatives centrally and flexibly, while ensuring sustainable operations.
CortexEngine
A schema-less data storage for complex data models, whose automatic dictionary enables fast selections in any combination of all fields and contents.
Uniplex
A universal application for analysis and extension of complex data models. It also serves for managing, reviewing, checking of all contents and as a tool for administrators or developers.
Data Integration
Our standard application for integrating data into the CortexEngine from various sources, also by taking into account the Uniplex configurations.
API
We provide developers with a REST API. Utilize it for the implementation of your own applications.
Solutions
A wide range of use cases and applications demonstrate the flexibility of Cortex-IP.
We cover a wide range of business scenarios in various sectors.
For more information, click on a topic that interests you
Supported by the Federal Agency for Leap Innovations
The Federal Agency for Leap Innovations SPRIN-D helps propel the breakthrough of radically new ideas and technologies that will significantly improve all of our lives. (Quote from SPRIN-D website)
This also applies to the Cortex-InformationPlatform, and we are pleased that SPRIN-D has been supporting our technology since 2022.
We offer a free setup for developers in a multi-tenancy-architecture.
Get a demo database in less than 10 min.
Try It Out Now
Performance Management
360° Analysis & Lead Generation
Challenge
- The realization of reporting and the control of a retail organization with more than 2000 locations (point of sale) is difficult for controlling and management due to the enormous data volume
- Filter combinations over many fields with several thousand parameters result in a huge number of different reports - e.g. regions, customers, products, order types, segments
- Audit trail from financial accounting with access to transaction data for operational analysis has not been possible
Solution
- The Cortex-IP automatically normalizes over 300,000,000 transactional data (documents) from hundreds of accounting and ERP systems.
- Daily, delta data is incorporated with automatic cleansing of cancellation entries in the inventory
- A dedicated pivot server automatically calculates and maintains over 100,000,000 intermediate results
- Integration of a customized self-service BI solution with dashboards, lists, and pivots
Benefit
- Fast:
Loading a comprehensive report with multiple filtering options takes less than 3 seconds - 100% Transparency:
All transactional data (documents) are accessible; all reports and analyses can be traced - Flexibility & cost savings:
Additional types of data records can be integrated at any time - Highest agility without internal ETL processes in the data warehouse.
Customer Engagement Platform
Service price packages web-app
Challenge
- Individually calculated price packages can be offered by retail
- Retail should be able to define quick and easy offers
- System should provide the OEM overview of the usage by the retail
- Rapid project implementation
Solution
- Cortex integrates all services price packages for each series in one DB
- Accessible GUI for the retail for processing of offers
- Process monitoring for use by the OEM
- Little training for the retail
- Reporting for OEM over the entire retail & statistical districts
Benefit
- Time advantage for the retail:
With simple operation quickly create the desired offers - Service efficiency:
Acceptance and use of the system is increased in the retail and saves costs - Controlling:
Processing status, offers and success can be monitored by management & OEM
Data Validation
Validation of varieties for seed breeding
Challenge
- Licensing and sales of new seed varieties via joint ventures with several subsidiaries in the EU
- Different countries have different licensing processes
- Inconsistent definition of name, breeder, seed license number in systems
- No way to analyse specific varieties europe wide
Solution
- The variety validator is based on CortexDB and integrates all systems in all countries
- Variety can be identified by any search criteria: brand name, name of licensed variety, license number, breeding season, test site
- User must make decision if result falls below lower tolerance limits
Benefit
- Revenue potential:
Optimised consulting by farmers - Fraud Detection:
Of abuse in licensing business - Optimised variety selection:
Due to knowledge about suitability for climate and soil types across countries - Optimisation:
Of EU funding for certain seed types
Financial Controlling
Analyse finance and account data (e.g. SAP Fi/Co)
Challenge
- Flexible, daily ad hoc reports were difficult and time expensive for controllers and managers
- Any filter combination of 8 fields with more than 50 parameters results in a huge number of possibilities
- Bottom-up and top-down reports were complex and difficult to understand
Solution
- CortexDB imports daily all financial raw data
- Scalable enough to cope with all additional data
- Mapping information extends the raw data for more filter combinations and force of expression
- Standard reports with the list, pivot and dashboard functionality improves the usage
Benefit
- Fast:
The filtering of a report needs a maximum load time of 3 seconds - Ease of use:
It’s so easy that the financial controllers, managers and CEOs can use it by themselves at any time - Flexibility:
Additional data extends the financial information to understand complex reports
Dispositive Planning
Aftersales Direct Marketing app
Challenge
- Complex database of customers, companies, buildings, people and scanners were difficult to manage
- Compliance with legal requirements on documentation and archiving could only be achieved for existing services
- New business unit could not be included
Solution
- CortexDB documents all data
- Scalable enough to cope with all additional data
- Flexible changes and extensions while the database is running, even if they have a different structure
- Search tool allows a set of keys to be assigned to a particular employee based on the combination of keys on it
Benefit
- Compliance:
With current and new regulations - Cost savings:
From optimisation of security staff’s monitoring routes - Risk of danger reduced:
Due to overlapping shifts - New business opportunities:
Underpinned by system’s scalability and flexibility - Staff identity protection:
Due to unmarked keyrings
Product Data Management
Data dependency for vehicle configuration
Challenge
- Each vehicle configuration comprises +/- 5000 parts
- Data dependency describe possible combinations of parts for each configuration and country
- Huge volume of very complex data
- Approx. 4000 cars per day; 3-hour window for generating BOM (Bill Of Materials)
Solution
- Data dependencies mapped in CortexDB
- BOM generation in milliseconds
- Runs on an expandable dual core computer with 4GB RAM (previously ran on several extremely expensive in-memory HP servers, each with 3 terabytes of RAM)
Benefit
- Data quality:
Production is no longer hindered by BOM configuration - Reduced costs:
Of IT systems and process times - Flexibility:
Shorter lead time for customers; Changes can be made up until the last minute; Increased customer satisfaction
360°Knowledge Network
Information Hub
Challenge
- Many data from different silo systems lead to a lack of transparency and inadequate view of master and transactional data
- Different departments such as marketing, sales, purchasing, accounting, contracting, logistics, and production work with different master data
- A holistic master data management (MDM) is required to enable the digital transformation of processes, services, and products; with transactional data also to be stored and managed centrally
Solution
- Master data and operational data from different silo systems are stored and automatically normalized in Cortex-IP, making them fully and flexibly selectable in the universal dictionary
- Correlations between different data objects enable the analysis of complex relationships as well as the identification and management of the golden record
- Building a semantic network (graph) of all data objects and their associated transactions from different silo systems in a central data repository (Enterprise Information HUB)
Benefit
- Digital Transformation:
Basic requirement for holistic digitalization and automation of processes and services - Transparency:
A 360° overview of all (master) data and transactions in the company. Loading processes into analytical databases are no longer necessary. - New Apps:
New services and products can be set up transactionally - EU GDPR (General Data Protection Reg.):
Innovative solution in compliance with the European Union's data protection law (GDPR).
Natural Language Processing
Text analysis
Challenge
- Unstructured texts still require a high manual effort in business processes and offer great potential for automation
- For automatic use, the conversion into structured information with high quality has so far been insufficiently solved. If texts become more complex in the context of their content, classical keywording fails as a solution approach
- Texts such as register publications are often difficult to understand even for humans and require a high degree of linguistic semantics and contextual interaction
Solution
- All texts are stored in Cortex-IP
- Due to the cognitive properties of the Cortex-IP, the meanings of individual words can be recognized and evaluated in context
- The crucial information for the use case is converted into structured information within Cortex-IP, automatically normalized and transferred into a semantic network
- Analytical and operational requirements can be implemented
Benefit
- Digital Transformation:
Basic requirement for holistic digitalization and automation of processes and services - Automatisation:
Manual processes can be effectively automated with high quality - Transparency:
A 360° overview of all (master) data and transactions in the company - Early detection of critical situations that were previously only described in continuous texts (e.g. insolvency announcement)
Anomaly Detection
Linking of multiple data sources
Challenge
- Analysts typically need to know exactly what they are looking for in order to identify anomalies in data sets based on an expectation
- The more data sources are linked together, the more complex the analysis becomes
- Currently, achieving a scientific approach and transparency in the decision-making of algorithms is almost impossible
- Accessing individual transactions/master data requires a system change
Solution
- Data from different source systems is imported into Cortex-IP and automatically normalized
- Normalization already automatically provides simple statistical results for identifying contextual content
- Via the graph functionality, data sets become related to each other and are available for algorithms
- Through the semantic network, all data dependencies can be analyzed dynamically
- Anomalies can be detected without special training
Benefit
- The approach is highly iterative and flexible; results are quickly accessible.
- Transparency:
A 360° overview of all (master) data and transactions in the company - Future-proof:
The use of clustering techniques in unsupervised learning allows for the optimization of algorithms, making it possible to detect anomalies even without defaults
Enterprise Ressource Management
Project Controlling
Challenge
- Lack of transparency regarding all relevant projects and their key figures within the company
- Difficult risk assessment of individual projects according to cost, time, and technological criteria
- Current reports provide only snapshots and lack analysis of the temporal progress of projects
- An early warning system with concrete actionable recommendations across the entire hierarchy is needed
Solution
- Over 70 KPIs are maintained monthly in the Cortex-IP across all sub-areas of the projects
- Additional parameters are imported from SAP and other operational systems
- Various management reports provide information for the different management levels
- Milestone trend analysis (MTA)
Benefit
- Customer Satisfaction:
Transparency across all relevant projects per department with an early warning system for detecting critical projects across all management levels - Flexibility:
Change management processes in the departments can be flexibly represented in the system - Cost Savings:
Early intervention in critical projects leads to cost savings
Complaints Management in the Supply Chain
Increasing customer satisfaction
Challenge
- In order to reduce global complaint rates, concrete recommendations for action are missing
- Customer complaints only become visible within the department when they reach a critical mass
- Current reports and business intelligence do not allow for operationalized analyses
- An early warning system with the capability of providing concrete analyses and recommendations for action across the entire supply chain is being sought
Solution
- Transaction data (documents) of all deliveries and complaints are periodically transferred from SAP to Cortex-IP (> 100 million data records per year)
- Within Cortex-IP, data mining algorithms determine norm deviations per article, customer and logistics route
- The Uniplex application visualizes operationalized analyses and score cards for the quality assurance department via lists and dashboards
Benefit
- Customer satisfaction
Advanced analytics enables recommended actions for operational process flows (100% control and management) - Fraud detection
Deviations from standards are detected immediately and reported automatically - Cost savings
Proactive early warning system allows timely detection and resolution of problem areas