Better Context for Better Field Decisions
An AI-native control plane that connects field technicians, industrial assets, and operational decision-makers in real time, shifting enterprises from reactive dispatch to predictive, autonomous operations.
Synchronized telemetry, equipment history, and site intelligence directly in the field.
ASSET CONTEXT
Telemetry, history and site records in one view.
TECHNICIAN ENABLEMENT
Evidence-linked procedures for the field.
HUMAN APPROVED
Safety, judgment and site approval stay first.
Built Beyond Work Orders
Nexfield connects asset condition, service evidence, technician workflows, and expert review in one operating model. Its recommendations help teams plan and prioritize work without replacing inspections or maintenance procedures.
The platform ingests data from IoT sensors, equipment telemetry, historical maintenance records, technician mobile devices, and environmental conditions, then delivers predictive maintenance, intelligent dispatch, automated inspection, and real-time operational intelligence across cloud, on-premise, and ruggedized edge hardware.
Context is split.
The crew still decides.
The gap
- Asset telemetry and maintenance history are separated
- Technicians receive incomplete fault context
- Reactive maintenance increases downtime and travel
- Remote experts cannot easily review field evidence
- Connectivity may be limited at industrial sites
- Automated actions can conflict with safety procedures
- Field service data remains locked away from AI training
The operating model
- Asset and site registry
- Condition and anomaly indicator views
- Work-order prioritization
- Evidence-linked technician assistance
- Remote expert collaboration
- Human-approved dispatch and maintenance workflow
- Field data unlocked for specialized model training
From overnight planning to real-time field intelligence.
Asset context to controlled work.
Real-time dispatch optimization
- Urgent job absorption
- Skill, location, priority matching
- Continuous re-solve, not overnight
Predictive maintenance
- RUL estimation
- Physics-informed time-series
- Degradation before failure
Multi-modal sensor fusion
- Vibration · thermal · acoustic
- Sub-millisecond edge pipelines
- Synchronized GPU inference
Vision AI & safety
- Automated optical inspection
- PPE & hazard detection
- Distributed asset monitoring
Industrial digital twins
- Physically accurate replicas
- Maintenance simulation
- Operator training environments
Edge-native inference
- Sub-10ms latency
- Ruggedized deployment
- No cloud dependency
Technician AI assistants
- Step-by-step diagnostics
- Natural-language asset queries
- Conversational field support
OT / ICS security intelligence
- ICS / SCADA monitoring
- Tampering alerts
- Unauthorized access detection
Automated field reports
- AI-generated service reports
- Document intelligence
- Compliance record review
Multi-modal intelligence at the industrial edge.
Nexfield fuses vibration, thermal, acoustic, visual, radar, and environmental signals into synchronized GPU pipelines, processed in real time on ruggedized edge hardware, without cloud dependency for time-critical decisions.
Industrial AI, end to end.
Twelve NVIDIA technologies spanning edge sensor fusion, vision AI, dispatch optimization, predictive analytics, digital twins, and autonomous field operations.
NVIDIA cuOpt
GPU-accelerated decision optimization for real-time technician routing, fleet coordination, and continuous dispatch adaptation.
- 100× vs x86 CPU solvers
- Million-variable problems
- AT&T-tested field dispatch
NVIDIA Metropolis
Vision AI framework for asset monitoring, inspection, and operational safety across distributed industrial facilities.
- Visual AI agents
- Video search & summarization
- PPE & hazard detection
NVIDIA Holoscan
Real-time streaming sensor pipelines with EtherCAT industrial robotics support and Holoscan Sensor Bridge.
- Sub-ms latency
- Vibration · thermal · acoustic
- Jetson · IGX · cloud
NVIDIA Jetson
Ruggedized, power-efficient compute for forward-deployed operations with agentic AI via JetPack 7.2 and NemoClaw.
- Sub-10ms inference
- AGX Orin · Thor
- Battery-operable
NVIDIA RAPIDS
cuDF telemetry processing, cuML anomaly detection, and accelerated feature engineering for RUL models.
- 10-170× faster analytics
- Real-time anomaly detection
- Spark Accelerator
NVIDIA TensorRT
INT8 / FP16 quantization and dynamic shape handling for deployment on edge GPUs and industrial gateways.
- 3-5× edge speedup
- Reduced memory footprint
- Lower power draw
NVIDIA Triton
Concurrent predictive, vision, and NLP model serving with dynamic batching and sovereign deployment.
- Dynamic batching
- Version management
- On-premise & air-gapped
NeMo & NIM
Containerized microservices for automated reports, NL querying, document intelligence, and technician guidance.
- Automated service reports
- Conversational assistants
- Synthetic data generation
NVIDIA Omniverse
OpenUSD applications for industrial digitalization and physical AI simulation across plants, grids, and field assets.
- Physically accurate replicas
- Maintenance simulation
- Operator training
NVIDIA TAO
Transfer learning, pruning, and active learning for industrial visual inspection with C-RADIOv2 and NV-DINOv2 backbones.
- C-RADIOv2 · NV-DINOv2
- Model compression
- Rapid iteration
NVIDIA Morpheus
Real-time anomaly detection across industrial control networks with streaming threat analysis and proactive alerting.
- ICS / SCADA monitoring
- Tampering detection
- Streaming analytics
NVIDIA AI Enterprise
Enterprise software platform enabling secure, air-gapped, sovereign deployment with automated Kubernetes GPU management.
- Air-gapped deployment
- Data sovereignty
- K8s GPU provisioning
Seven layers from field signal
to technician intelligence.
Industrial sensing & ingestion
IoT sensor streams, equipment telemetry, technician mobile data, environmental conditions, and maintenance history.
Edge sensor fusion
Real-time multi-modal processing at the industrial edge, with synchronized GPU pipelines for vibration, thermal, acoustic, and visual data.
Industrial data normalization
Time-series alignment, geospatial indexing, asset attribution, and feature extraction across heterogeneous field data.
Asset & operations graph
Relationships across equipment, sites, technicians, parts, and jobs, enabling propagation analysis and historical context.
AI models & predictive intelligence
Predictive maintenance, anomaly detection, RUL estimation, and computer vision for industrial inspection.
Dispatch & orchestration
Real-time technician routing, scheduling, and fleet coordination with continuous adaptation to field conditions.
Field operator intelligence
Dashboards, AI-generated reports, natural-language queries, technician guidance, and audit trails.
Cloud training.
Edge autonomy.
Nexfield is designed to process high-bandwidth industrial sensor data while running complex AI models across cloud training and ruggedized field deployment.
Amazon EC2 P4d
- Time-series model training
- Vision development
- Predictive maintenance models
- Field data analytics
Amazon EC2 P5
- Large-scale model training
- Multi-modal fusion
- Dispatch benchmarking
- Continuous improvement
Jetson AGX Orin / Thor
- On-device sensor fusion
- Real-time anomaly detection
- Ruggedized field AI
- Agentic edge autonomy
NVIDIA A2 / IGX
- Facility-level inference
- Safety-critical deployments
- Regulated environments
- Site-level vision AI
AWS GPU credits and NVIDIA Jetson developer kits through the NVIDIA Inception Program will enable Nexfield to validate industrial AI algorithms on production-relevant hardware, benchmark field operations workloads, and accelerate development toward production-grade field service deployments.
Seven phases toward
autonomous field operations.
Dispatch & routing foundation
- Integrate NVIDIA cuOpt
- Real-time technician dispatch
- Large-scale routing benchmarks
- Continuous optimization loop
Industrial vision & safety
- Deploy NVIDIA Metropolis
- Visual AI agents across facilities
- Video search & summarization
- PPE & hazard automation
Multi-modal edge processing
- Leverage NVIDIA Holoscan
- Multi-modal sensor fusion
- Deploy on Jetson AGX Orin & Thor
- EtherCAT integration
Predictive maintenance analytics
- Integrate NVIDIA RAPIDS
- GPU-accelerated feature engineering
- Anomaly detection pipelines
- RUL model training
Optimized edge & serving
- Optimize with TensorRT
- Deploy Triton Inference Server
- Multi-model industrial serving
- Sovereign & on-premise
Field intelligence & twins
- Leverage NeMo & NIM
- Automated field service reports
- Build industrial digital twins
- Implement TAO for adaptation
Autonomous field operations
- Evaluate Morpheus for OT security
- Benchmark on H100
- Expand GPU analytics pipelines
- Closed-loop detection & response
Ready to move field operations ahead of failure?
Nexfield is building the AI-native control plane for predictive maintenance, intelligent dispatch, and autonomous industrial operations.