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Description
DataPortia represents a sophisticated on-premises solution for industrial data acquisition and reporting, equipped with integrated AI analytics capabilities. It seamlessly interfaces with various automation systems through the OPC UA protocol, compatible with brands such as Siemens, ABB, Valmet, Beckhoff, Schneider, Honeywell, and Rockwell, allowing it to gather over 2000 measurement points each second while archiving time-series data in PostgreSQL or TimescaleDB.
Notable attributes include:
- Dynamic real-time dashboards featuring gauges, charts, bar graphs, and tables for comprehensive data visualization.
- Interactive trend analysis utilizing ECharts for visualization, enhanced with a drag-to-zoom function for user convenience.
- Detailed reporting capabilities, with options for exporting data in CSV and PDF formats.
- The ability to schedule automated reports on a daily, weekly, monthly, or custom basis to streamline operations.
- AI-driven data analytics, powered by a local Ollama LLM, enabling insights into anomalies, forecasts, cost optimization, and tailored reports, all without reliance on cloud services.
- Management of OPC UA alarms and conditions, accompanied by analytical tools and options for data export.
- Facilitation of reading OPC UA history directly from the server's historian for efficient data retrieval.
- Support for calculation circuits, including both cumulative and non-cumulative formulas to meet diverse analytical needs.
- Features for transferring, copying, and merging tags between connections, enhancing flexibility in data management.
- A robust TimescaleDB time-series database for optimized data storage and retrieval, ensuring efficient handling of extensive datasets.
This comprehensive suite of features positions DataPort
Description
TimesFM-3 represents an advanced time series foundation model that excels in highly precise multivariate forecasting with a single forward pass. This model, which consists of 330 million parameters, has undergone pre-training on a vast corpus of real-world and synthetic time series data, totaling over 1 trillion time points, thereby enhancing the effectiveness and zero-shot generalization capabilities seen in previous TimesFM iterations. It is adept at simultaneously predicting numerous coevolving time series and understanding dependencies that bolster accuracy without the need for task-specific fine-tuning. Furthermore, it accommodates multiple forecasting targets, including both point and quantile predictions, and incorporates past covariates that are only available historically, alongside dynamic covariates that pertain to future events such as planned promotions, holidays, or weather changes. Utilizing a decoder-only transformer architecture, TimesFM-3 processes sequential data in segments of 32 time steps, employing alternating causal temporal attention and full variate attention to integrate patterns across both time and interrelated series effectively. As a result, it provides a robust tool for forecasting complex time-dependent phenomena in various applications.
API Access
Has API
API Access
Has API
Integrations
AADvance Control System
ABB Ability System 800xA
AVEVA InTouch HMI
CitectHMI
SIMATIC HMI
SIMATIC PCS 7
SIMATIC PCS neo
SIMATIC SCADA
SIMATIC STEP 7
SIMATIC WinCC
Integrations
AADvance Control System
ABB Ability System 800xA
AVEVA InTouch HMI
CitectHMI
SIMATIC HMI
SIMATIC PCS 7
SIMATIC PCS neo
SIMATIC SCADA
SIMATIC STEP 7
SIMATIC WinCC
Pricing Details
4000€/one-time
Perpetual licensed.
Price will scale by the number of OPC UA connections.
Price will scale by the number of OPC UA connections.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Atorcom
Founded
2018
Country
Finland
Website
atorcom.fi/en/dataportia
Vendor Details
Company Name
Founded
1998
Country
United States
Website
research.google/blog/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting/