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Description
Dyneo is a pioneering technology firm focused on enhancing energy efficiency and profitability for thermal network operators through the use of digitalization and AI. By providing valuable insights, our solutions can seamlessly integrate with both new and existing systems via standardized protocols, making deployment straightforward. We specialize in identifying anomalies that disrupt network performance and suggest actionable measures to resolve these issues. Our real-time management of heat generation and substations aims to optimize the overall operation of the network. Additionally, we offer integration with production control systems, comprehensive analysis, and operator support, utilizing machine learning models to further enhance energy efficiency. Our capabilities include automatic fault detection and real-time monitoring to facilitate the remote operation of thermal networks. Furthermore, we ensure effective interconnection between network optimization and heating controllers while managing demand, communication, and cost-effective data management for substations to streamline analysis and billing processes. Ultimately, Dyneo empowers operators to make informed decisions and improves the sustainability of thermal networks through innovative technology.
Description
OBM is an adaptable platform for managing loads and computing resources, specifically aimed at enhancing the efficiency of energy-demanding operations while ensuring precise control over energy usage. Its flagship offering, the Foreman platform, equips users with real-time monitoring, automation, and remote management features, allowing operators to manage extensive fleets of computing equipment through a unified interface. The system consistently monitors essential metrics like hash rate, energy consumption, equipment health, and configuration status, which facilitates quicker problem identification and informed decision-making based on data analytics. OBM's technology is engineered to boost both profitability and operational efficiency by automating various tasks, including rebooting inactive machines, handling power surges, and reallocating equipment for maintenance. Additionally, the platform's capabilities have grown to encompass not only cryptocurrency mining but also support for AI training workloads, high-performance computing (HPC) data centers, and other flexible load environments that demand agile energy management. This versatility ensures that OBM remains relevant in an ever-evolving technological landscape.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
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
Dyneo Technologies SA
Founded
2023
Country
Switzerland
Website
en.dyneo.ch/
Vendor Details
Company Name
OBM
Country
United States
Website
obm.io
Product Features
Energy Management
Benchmarking
Bill Audit
Bill Database
Bill Importing
Budgeting & Forecasting
Compliance Management
Contract Management
Cost / Use Reporting
Emissions Monitoring
Energy Price Analysis
Facility Scheduling
Greenhouse Gas Tracking
Load Control
Load Forecasting
Meter Tracking
Risk Management
Weather Normalization
Product Features
Energy Management
Benchmarking
Bill Audit
Bill Database
Bill Importing
Budgeting & Forecasting
Compliance Management
Contract Management
Cost / Use Reporting
Emissions Monitoring
Energy Price Analysis
Facility Scheduling
Greenhouse Gas Tracking
Load Control
Load Forecasting
Meter Tracking
Risk Management
Weather Normalization
