Problem · Machine Failure
Predictive Maintenance
Detect anomalies and predict potential equipment failures before costly downtime.
SensorsAnomaly detectionMachine learning
01 — Industrial AI & Physical Intelligence
Intelligence for the
We combine AI, industrial IoT, robotics, edge computing and automation to build intelligent systems for the real world.
ABRAH AI · Live— Aerial inspection · solar & power lines
01 / 05Predictive MaintenanceAI Vision InspectionIndustrial IoTEdge AIRobotics & AutomationSoftware ProductsSoftware & AI ServicesHR & Payroll Services
Architecture
Sense. Think. Act.
Physical AI is built in three layers — perceiving the environment, understanding it, and acting on it. We engineer all three, and the connections between them.
Sense
01Sensors, cameras and drones perceive the world in real time.
- IoT sensors
- Cameras
- Drones
- PLC / SCADA
Think
02Edge and cloud AI understand what is happening and decide.
- Edge AI
- Vision models
- Forecasting
- AI agents
Act
03Robots, drones and controls act — safely and autonomously.
- Robotics
- Drones
- Automation
- Controls
Capabilities
Everything it takes to bring AI onto the floor.
01
Industrial AI
Turning operational data into decisions on the plant floor.
- Predictive maintenance
- Anomaly detection
- Production optimization
- Quality intelligence
- Forecasting
- Operational intelligence
02
Industrial IoT
Connecting machines and systems into one reliable data layer.
- Industrial sensors
- PLC integration
- SCADA
- MQTT
- OPC UA
- Industrial gateways
- Real-time monitoring
03
Edge AI
AI that runs where the data is generated.
- On-device inference
- Edge computing
- Real-time AI
- Offline intelligence
- Low-latency systems
04
Computer Vision
Machines that see, measure and verify.
- Defect detection
- Quality inspection
- Object detection
- OCR
- Safety monitoring
05
Robotics
Robots that perceive their environment and act within it.
- Autonomous robots
- AMR / AGV
- Robotic arms
- Inspection robots
- Robot perception
- Robot intelligence
06
Physical AI
Systems that sense, decide and act in the real world.
- Perception
- Decision-making
- Autonomous action
- Machine intelligence
- Human-machine interaction
Solutions
We start with the problem, not the technology.
Common operational problems, and how industrial intelligence solves them.
Problem · Quality Problems
AI Vision Inspection
Automatically identify defects, dimensional issues, labeling errors and other quality problems.
Computer visionEdge AIOCR
Problem · Disconnected Machines
Industrial Connectivity
Connect machines, sensors and industrial systems into a unified operational data layer.
PLCSCADAMQTTOPC UA
Problem · Manual Processes
Intelligent Automation
Combine AI, robotics and automation to reduce repetitive manual operations.
RoboticsAutomationAI
Problem · Data Problems
Edge Intelligence
Process industrial data closer to the source for low-latency and resilient AI.
Edge computingOn-device inferenceOffline AI
Problem · Complex Operations
Industrial AI Agents
Give operators and engineers an intelligent interface to industrial data, documentation and workflows.
AI agentsRAGIndustrial data
Where it applies
Built for industrial environments.
ManufacturingAutomotiveLogistics & WarehousingEnergy & UtilitiesPharmaceuticalsFood Processing
Talk to an engineer
Have a machine, a line or a plant in mind?
Tell us about the operation. An ABRAH industrial AI engineer will help you find where intelligence creates the most value.