Platform
Visually supported workflow of AI Engineering activities
From an idea to a business impact, from raw data to trained Machine & Deep Learning data models — innoSEP’s AI Analytics Platform covers all step to apply AI successfully without being an AI expert



Data Ingestion
Data Pipeline for several database structures and data formats
- Flexible connection to common database structures (MongoDB, NoSQL, Cassandra…)
- Importing Module for upload and saving of multiple data formats (csv, xlsx, mdf, hdf5, tdms…)
- Specialized on transient and time-based process data
Visual Data Exploration
Modular and domain-oriented dashboards to visualize the data and operations
- Eight pre-configured dashboards considering diverse plot types for different data types (transient, sprectral, correlation, counting, descriptive statistics…)
- Flexible and modular structure of visualization elements
- Performant plotting of Big Data


Data Engineering
Holistic operation panels from idea to trained data models
- Diverse repository of Machine & Deep Learning algorithms using state-of the arts python-based libraries (Ski-Kit Learn, Tensorflow, Keras, XGBoost…
- Multi-functional build-in functions in the areas of Data Wrangling, Data Enrichment, Feature Engineering and Data Modeling
- Considers multiple Engineering-specialized & scientific methods (e.g. filtering, spectral analysis, counting methods…)
Model Deployment
Integration of individually trained AI application into your business workflow
- Implement Machine & Deep Learning data models into a value generating Application
- Flexible deployment (On-Premise, embedded, cloud services)
- Fully containerized deployment structure


Export of Workflow
Conversion of your data and workflow into re-usable and traceable Python code
- Transfer your data and visual workflow into Python code with one-click
- Simply proceed with your usual programming environment in case of functional limitation
- Ensure an effective workflow in case of specific use case characteristics
Job Execution Manager
Flexible Cluster & Job Manager for large-scale processing
- Assign and conduct computational heavy operation to instances using Spark & Mesos
- Realize remote or local computing (On-Premise, cloud services)
- Includes automated resource allocation for efficient processing

… Contact us
Do you want a demo version? Do you have access to operational process data? Do you have an AI Use Case in mind?
Feel free to contact us or give us a call: +49 511 590 72 777