Process control and industrial automation
Control of industrial processes and development of existing systems
About
An engineering team for systems that keep facilities running
We design, modernize, and support industrial systems in the context of the real process—from measurement loops and dispatch control to data and enterprise integrations.
01 / Our purpose
We help preserve system reliability today and its ability to develop tomorrow
We work with process control, SCADA, energy metering, instrumentation, and related engineering processes.
Our expertise comes from delivered projects: we study the operating facility and propose solutions that can be implemented and supported in production.
02 / Core competence
We design the system around how it will be operated
We define system levels, data flows, and integration points, and agree on the scope and acceptance criteria. This helps connect solutions from different manufacturers and gives personnel a system they can understand and maintain.
See how this works in projects- 01
Understand the task
We study the facility, the current system, its constraints, and the actual production need.
- 02
Design the solution
We define the architecture, responsibilities, equipment, and interaction between components.
- 03
Implement and integrate
We deploy or modernize the system around the existing infrastructure and production process.
- 04
Support operations
After launch, we diagnose, maintain, and develop the solution while retaining a complete view of its architecture.
03 / Practices
Explore our solutions Engineering practices
SCADA and dispatch control
Process data and operational control tools
Energy and utility metering
Electricity, heat, and water: from measurement to reporting
Industrial and engineering monitoring
Condition monitoring for equipment, structures, and hydraulic facilities
Diagnostics and predictive analytics
Equipment condition assessment and maintenance planning
IT/OT and custom software
Server infrastructure, data, and system integration
04 / Applied AI
AI for tasks that can be validated in practice
We work with computer vision and enterprise language models.
Video analytics turns camera streams into safety and production-control events. An enterprise assistant supports internal documents and knowledge within local infrastructure. For both solutions, we define the available data, constraints, and success criteria before designing integration.
Principle
Nazar AI and SolAI Define the task, available data, and success criteria first.
Experience and partnerships
Companies that work with us
Experience with organizations and technologies from leading manufacturers.
New project
Let’s discuss your task
Tell us about the facility, the current system, and what needs to change. We will clarify the details and suggest the next step.