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REMORA Data Engineering Platform automatically generates pipelines for data pre-processing as a recommendation by considering user-defined goals and domain specifics .
It delivers ready-to-use data for AI/ML models, generates feedback on available data, ensures efficiency and synergies between multiple data sources and use cases in real-time.
REMORA can be seamlessly integrated into any target system landscape. It gives AI-Teams full flexibility and more room for creativity in data analysis.
Use REMORA open application framework for industrial
data-driven development on a daily basis.
BENEFITS FROM DAY ONE
50%
Reduction in development time
10%
Improved accuracy
90%
Reduction in model input data size
60%
Reduction in model training time
50%
Reduction in AI operational costs
60%
Reduction in lines of code
ADDED VALUE AT THE PROJECT LEVEL
REMORA equips AI-Teams with open application framework, an extensible modular system to manually define and execute data pre-processing pipelines and complete data-driven applications.
It contains a growing collection of useful data pre-processing functions (Tasks), commonly used combinations of them (Templates), and connectors.
PREMIUM UPGRADE FOR EVERY DATA-DRIVEN CORPORATION
Advanced workbench aims at a high-level automation of data embedding in any decision-making process.
It has sophisticated feedback system on data quality and prediction of generated value from data analysis.
AI-Teams also draw on existing best practices (& failures) in data analysis from the community.
ADDED VALUE AT THE CORPORATE LEVEL
REMORA helps to build and sustain business-related data spaces to best leverage value from digital transformation.
Corporation maintain complete control over domain knowledge, data and respected processes.
Decision makers gain visibility into data value creation.
This is the initial step for all data-driven corporation to be able to participate in data economics.
EVERYONE INVOLVED IS
EMPOWERED TO MAXIMIZE
THEIR SUCCESS.
BENEFITS FROM DAY ONE
50%
Reduction in development time
10%
Improved Accuracy
90%
Reduction in model input data size
60%
Reduction in model training time
“Industrial analytics requires high quality data from production equipment.
Today, this is expensive to obtain and retain.”
“Knowledge from data analysis cannot be transferred to other tasks.
For this high manual processing efforts are required.”
“Data quality issues influence AI results.
Optimal data preparation for new data not known in general.”
REMORA FOR SUSTAINABLE DATA ECOSYSTEMS
GLOBAL SOCIAL IMPACT
REMORA FOR DATA-DRIVEN BUSINESSES
EFFECTS AT THE CORPORATE LEVEL
REMORA FOR AI-TEAMS
EFFECTS AT THE PROJECT LEVEL
REMORA FOR SUSTAINABLE DATA ECOSYSTEMS
GLOBAL SOCIAL IMPACT
REMORA contributes to achieving environmental sustainability by:
- advancing a data ecosystem that is responsible and open.
- creating synergies in data usage and eliminating redundant operations in data analysis.
KEY TECHNOLOGY SHAPING THE FUTURE OF DATA ECOSYSTEMS
KEY TECHNOLOGY SHAPING THE FUTURE OF DATA ECOSYSTEMS
REMORA Open Application Framework detects and applies optimal data pre-processing pipeline for unknown raw data.
User-Friendly
User-friendly and easy to use
Open-Source
Built on open source and open standards
Cross-platform
Compatible with any platform and OS
REMORA OVERVIEW
REMORA provides a universal platform to automate data pre-processing for various industrial data-driven applications.
It delivers ready-made data for AI/ML models, generates feedback on available data, and assures efficiency and synergies between multiple data sources and use cases in real-time. It can be seamlessly integrated into any target system landscape.