AI
AI & Machine Learning
Applied AI/ML for engineering and industrial problems.
- Predictive analytics & anomaly detection
- Computer vision
- Engineering data analysis
- Intelligent automation
- LLM-enabled engineering workflows
AI • ELECTRICAL • MECHANICAL • SYSTEMS
Engineering Intelligence into Complex Systems
Sarban Systems helps organizations design smarter products by combining AI/ML, electrical engineering, mechanical engineering, and multidisciplinary systems thinking.
System ArchitectureAI-Enabled EngineeringDesign ReviewProduct Development
CAPABILITIES
Engineering services for intelligent products and systems
We focus on technically demanding work where software intelligence and physical engineering must work as one system.
EE
Electrical Systems
System-level electrical design and technical leadership.
- Electrical architecture
- Power electronics & energy systems
- Battery / BMS integration
- Embedded & controls integration
- Protection, reliability & design review
ME
Mechanical Systems
Mechanical and thermal design support for multidisciplinary products.
- Mechanical system integration
- Thermal management
- Design for manufacturability
- Prototype development support
- Engineering trade-off studies
SYS
Integrated Systems Engineering
Bring separate engineering disciplines into one coherent product architecture.
- Requirements & architecture
- Interface definition
- Technical risk assessment
- EVT / DVT / productization planning
- Independent system design reviews
AI-ENABLED ENGINEERING
Where AI meets physical systems
We are particularly interested in problems where domain engineering knowledge determines whether AI delivers real value. This includes intelligent monitoring, predictive maintenance, engineering analytics, digital twins, computer vision, and AI-assisted design workflows.
Predictive MaintenanceMotors, batteries, pumps, fans, power electronics and industrial assets.
Digital TwinsData-driven models for condition, performance and degradation.
Engineering IntelligenceTurn test data, requirements and field information into engineering decisions.
Computer VisionInspection, quality, monitoring and automated visual analysis.
HOW WE WORK
From concept to validated system
01
Understand
Clarify the business problem, constraints, requirements and technical risks.
02
Architect
Develop the system architecture, interfaces and cross-disciplinary design strategy.
03
Engineer
Execute or review electrical, mechanical, AI/ML and integration workstreams.
04
Validate
Define verification, reliability, manufacturability and productization readiness.
ABOUT SARBAN SYSTEMS
Multidisciplinary engineering with practical depth
Sarban Systems is being built as a technology and engineering consultancy spanning AI/ML, electrical systems, mechanical systems, and integrated product development.
Our aim is simple: help clients solve difficult engineering problems with a disciplined, systems-level approach rather than isolated technical solutions.
AI / ML Practice
Applied machine learning, computer vision, data-centric engineering, intelligent automation and AI-enabled products.
Systems Engineering Practice
More than 15 years of multidisciplinary systems development and technical leadership across electrical, embedded, software, mechanical, reliability, safety and product engineering.
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