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Rovisys

United States
1989
Private
$10-100m
201 - 1,000
Open website
We founded RoviSys as an independent control system integrator because we felt systems owners wanted those freedoms, to be enabled, not restrained.

Since its founding in 1989 as one of the first control systems integrators in North America, RoviSys has evolved to become a leading independent provider of comprehensive process automation solutions and services.

With the resources, experience and skills to solve and support practically any process automation and integration challenge, the company’s more than 500 engineers, developers and project managers make RoviSys an excellent choice for companies of all sizes looking for real solutions.

RoviSys is a control system integrator and product development company with a foot planted firmly in the old and the new worlds of technology. Our engineers and developers know proprietary systems: Before joining RoviSys, many of them created some of the most successful large-scale control systems of the last decade.

But more than a decade ago, these same engineers and product developers recognized that companies investing in the most proprietary of systems wanted something more-- the freedom to choose the best available technologies and solutions with alternatives for support and upgrades. In short, they wanted open systems. RoviSys was founded in 1989 to fulfill those wants.

The RoviSys commitment is simple: provide clients with world class information integration and process controls using the best available components and platforms, regardless of who makes them. In short, give clients choices.

RoviSys has the resources and skills to solve and support practically any process automation, manufacturing information and integration challenge. This breadth of resources and depth of experience makes RoviSys an excellent choice for companies looking for advanced and proven solutions. The company's offices are located near Cleveland, OH, Raleigh, NC, Boston, MA, Houston, TX, and Singapore.
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[Vendor_Name] is active in the chemicals, consumer goods, life sciences, metals, mining, oil and gas, paper and pulp, and utilities industries.
Use Cases
Building Automation & Control
Water Utility Management
Manufacturing System Automation
Process Control & Optimization
Functions
Discrete Manufacturing
Industries
Chemicals
Consumer Goods
Life Sciences
Metals
Mining
Oil & Gas
Paper & Pulp
Utilities
Rovisys’s Technology Stack maps Rovisys’s participation in the IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies1
Predictive Maintenance for Gas Pipeline Compressors
Predictive Maintenance for Gas Pipeline Compressors
CPG had a compression asset failure that interrupted service and had the potential to create customer dissatisfaction.
Number of Podcasts1
EP 178 - Replicate human decision making in industrial environments with Autonomous AI - Bryan DeBois, Director of Industrial AI, RoviSys
Monday, May 29, 2023

This week, we interviewed Bryan DeBois, director of Industrial AI at RoviSys. RoviSys is a global system integrator that applies the most effective methods for building, analyzing, improving, and maintaining complex autonomous systems.

In this episode, we talk about the concept of autonomous AI that integrates deep reinforcement learning based on machine data with machine teaching based on the main expertise and improvement through simulation. We also explored the industrial landscape broadly, including the cost structure, ROI targets, use cases, cloud strategy, and emerging technologies like GPT4.

Key Questions:

●      What is autonomous AI?

●      What is the status of industrial AI in the S-curve of artificial intelligence?

●      What are the use cases that are fit for autonomous AI?

●      What is the cost structure for autonomous AI?

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