SORBA.ai

SORBA.ai (SAI), is an Industrial Artificial Intelligence Operating System (AIos). Empowering ALL Industrial Engineers To Solve Complex Problems by Building Simple AI Solutions. One unified data analytics automation platform, unlimited solutions. Data Management Features (DataOps): Our platform equips users with auto-ETL self-provisioning services that contain a combination of 60+ dataops tools- from legacy automation drivers, to future state cloud IoT connectors, connecting, collecting and visualizing your machine data has never been easier. DataOps practitioners also have access to mission-critical data/feature engineering features: - Real-time interactive .cython analytics scripting engine (.py code compiled in c++) - Workflow Orchestration (nodered: 3rd party OT/IT application integration) - Dashboard Designer (40+ Real-Time Data Visualization Panel Options) - Alarm Management System (Notifications, Alert Logic, Task Flow) - Production Data Analyzer (Auto OEE KPI Calculations) - Vibration & Electrical Data Analyzer (Auto PDM Analysis) Data Analytics Features (MLops): Our automated machine learning (Auto-ML) studio utilizes a patented 4-click wizard-based user interface that gives developers instant access to a suite of 6+ Auto-ML pipelines and 10+ off-the-shelf templated applications to quickly model your datasets for real-time closed-loop monitoring or control deployments: 1. Unsupervised Learning: Clustering (Anomaly Detection) & Regression (Single Predictions) 2. Supervised Learning: Classification (PDM) 3. AI Process Optimization & Control (APC) 4. Digital Twin (Multiple Predictions) 5. Reinforcement Learning 6. Time-series Forecasting

Website

https://SORBA.ai

External link for SORBA.ai

Industry

Software Development

Company size

11-50 employees

Headquarters

Jacksonville, Florida

Type

Privately Held

Founded

2015

Specialties

SORBA SDC, SORBA Historian, SORBA Machine Learning, SORBA Advance Control, IoT solutions, Analytics, Big Data, Industrial Smart Solutions, Artificial Intelligence, OEE, Edge computing, Automation Smart Solutions, Big Data, Machine learning, Smart Manufacturing, Predictive Maintenance, Digital Twin, IIoT, Optimization, ML Ops, and Data Ops