DNotifier provides an event-driven intelligence layer for industries where assets, machines, sensors, cameras, drones and people interact in the physical world.
Physical AI industry solutions apply AI agents, physical sensing, asset intelligence and workflow orchestration to real-world operations. DNotifier provides reusable infrastructure while industry-specific solutions define the assets, events, agents, workflows and operational actions relevant to each industry.
A pipeline, power transmission line, mine site, construction project or airport has different operational requirements. DNotifier's core architecture can remain consistent while industry-specific agents, asset models and workflows are adapted to each environment.
Pipelines, machines, vehicles, buildings, infrastructure and facilities.
Cameras, drones, robots, IoT devices, telemetry and operational signals.
Events, Asset Brain, AI agents, decision logic and workflows.
Start with a focused operational problem and expand into a broader Physical AI architecture as more assets, data sources and workflows are connected.
AI-powered inspection, monitoring and response across pipelines, tank farms, flares, facilities and remote industrial assets.
Physical AI for electricity, renewable energy and utility infrastructure monitoring and inspection.
AI-driven intelligence for mines, equipment, stockpiles, slopes, vehicles and large operational areas.
Connect site cameras, drones, equipment and AI agents to improve visibility across construction operations.
Physical AI for port infrastructure, vessels, containers, cranes, security and operational safety.
AI-powered physical monitoring for runways, facilities, restricted areas and airport infrastructure.
Connect machines, cameras, sensors and AI agents around industrial production environments.
Physical AI infrastructure for public spaces, transportation, infrastructure and city operations.
Physical AI becomes valuable when it solves a specific operational problem. DNotifier can provide the infrastructure beneath these solution categories.
Trigger, coordinate and analyze physical inspections using drones, cameras, robots and other inspection technologies.
Maintain continuous context around physical assets, their current state, history, findings and risk.
Transform sensor, camera and physical observations into events that can trigger AI investigation.
Detect potential hazards and coordinate safety-oriented workflows with configurable human oversight.
Combine cameras, drones, events and AI agents for physical security investigation and response.
Use asset history, telemetry, inspection findings and AI analysis to prioritize maintenance workflows.
Coordinate detection, investigation, escalation, physical verification and response workflows.
Correlate physical observations and environmental signals with assets, locations and operational events.
Bring AI-powered observation and decision support to distributed or difficult-to-access physical assets.
Every industry solution starts by defining the assets, observations, events, agents, decisions and operational actions relevant to that environment.
The same underlying infrastructure can support very different physical operations depending on the industry, asset model and workflow.
| Industry | Assets | Physical Inputs | AI Workflows | Potential Outcomes |
|---|---|---|---|---|
| Oil & Gas | Pipelines, tanks, facilities, flares | Sensors, cameras, drones, thermal, OGI | Leak, inspection, safety, risk | Investigate, inspect, escalate, respond |
| Utilities | Lines, substations, solar assets | Cameras, drones, telemetry | Inspection, vegetation, anomaly | Inspect, prioritize, maintain |
| Mining | Slopes, equipment, stockpiles | Drones, cameras, sensors | Terrain, safety, equipment | Inspect, alert, monitor |
| Construction | Sites, machinery, structures | Cameras, drones, equipment data | Progress, safety, site intelligence | Report, investigate, notify |
| Ports | Cranes, containers, vessels, facilities | Cameras, drones, sensors | Security, inspection, safety | Investigate, escalate, respond |
| Airports | Runways, facilities, vehicles | Cameras, drones, sensors | Inspection, wildlife, safety | Inspect, alert, coordinate |
| Manufacturing | Machines, production assets | Cameras, sensors, telemetry | Condition, maintenance, quality | Investigate, maintain, verify |
| Smart Cities | Roads, buildings, infrastructure | Cameras, drones, IoT | Infrastructure, safety, environment | Detect, inspect, coordinate |
Industry solutions add domain-specific knowledge, asset models, operational terminology and workflows on top of the shared Physical AI infrastructure.
The same AI agent architecture can therefore be adapted for different industries without rebuilding the entire event, context and orchestration foundation.
The long-term model is to maintain a reusable Physical AI infrastructure layer while adding specialized industry capabilities above it.
The opportunity is not simply to add an AI chatbot to an existing industrial application. Physical AI connects perception, reasoning, physical inspection and operational action.
A system reports that something happened.
AI helps operators understand what the signal may mean.
AI can coordinate additional physical evidence when the configured workflow requires it.
Specialized agents combine evidence and asset context to recommend the next operational step.
Configured workflows can initiate physical or enterprise actions subject to governance.
New findings become part of the asset's ongoing operational context.
Answers to common questions about deploying Physical AI across industries and operational environments.
Connect physical events, AI agents, asset intelligence and operational workflows with DNotifier Physical AI.