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Autonyx is the modern, open data platform that enables companies to efficiently utilise quality-assured data. Create data products and AI cases with integrated governance and automation. Make your company data-driven, AI-ready and future-proof.
Highlights
Autonyx paves the way to AI readiness
Autonyx provides a structured, high quality database that meets all the requirements for the use of modern AI applications and can be integrated via standardised interfaces.
Autonyx provides an automated data governance
Autonyx offers automated data quality management, compliance and traceable data flows. This allows you to maintain control over your data landscape and reduce risks.
Autonyx enables business users to work flexibly and independently
In addition to data engineering tools, intuitive interfaces, preconfigured data pipelines and guided self-service functions are available for busuiness users to perform independent analyses.
Autonyx offers predefined business content for ESG reporting
Autonyx offers predefined connectors, business logic, key figures and reports for CSRD, SFCR and other regulatory reporting.
Overview
Product description
Autonyx is a modern, open data platform that enables companies to efficiently utilise quality-assured data. Create data products and AI cases with integrated governance and automation. Make your company data-driven, AI-ready and future-proof. In addition to pure data management, Autonyx delivers high-quality, integrated data products that can be used directly. Autonyx is not only a tool for data experts; specialist departments can also use it to independently create, understand and use data products. Like a navigation system, the platform brings together information from a wide variety of sources, identifies dependencies and guides users to the relevant results. This turns complex data into clear, understandable insights. Autonyx thus creates a clean, structured and accessible database that meets all the requirements for the use of modern AI applications, based on proven open-source technology. Below is an overview of the key features. User Interface - Platform Administration (User Management, Authorisations, Monitoring etc.) - Integrated BI tool and connection to external BI tools (e.g. Power BI, Tableau) - Framework for Business Workflows Data Governance - Comprehensive data quality management - Real-time monitoring for trustworthy data - Policies and processes for data management and security Data Management Platform - Flexible data storage options (relational, vector, graph, NoSQL) - User-friendly and flexible data transformation options - Data provision via modern data products - Use of JupyterLab & Python Integration Layer - Comprehensive connectors for relational and NoSQL databases - Interface for manual uploads - Data streaming for real-time integration - Integration of LLMs Predefined Business Module - ESG (CSRD Reporting, EMAS, EU-Taxonomy, Digital Product Passport)