Advanced AI vision and sensor intelligence
Go beyond traditional computer vision.
Trusted by industry leaders and the public sector
MarshallAI is an advanced AI vision solution that outperforms legacy computer vision systems in accuracy, flexibility and speed.
Examples of use cases
Deployed across industries
From production lines to tactical environments.
Inline inspection of any size part at 2000+ units per minute.
Defect, fill-level, foreign object, label inspection and rogue can detection on high-speed lines at over 120000 uph.
Full inspection of primary package and label defects — without reducing line speed.
Vehicle classification, incident detection and junction heatmaps from existing CCTV infrastructure. No new hardware needed.
Safety and zone monitoring, dwell time reports and throughput counts across loading bays and warehouse floors from standard IP cameras.
Fully air-gapped, on-premise deployment. No cloud dependency. Listed on the DoD Tradewinds Solutions Marketplace.
Improve quality, efficiency and safety
Example use cases
How It Works
A complete turnkey AI vision solution
Our end-to-end solution includes all necessary hardware, software, installation and support. Our experienced team handles everything. Interested? Send us a message
Common
Questions
Everything you need to know about the MarshallAI platform, deployment and hardware. Can’t find what you’re looking for?
Ask us directly →MarshallAI is a node-based multimodal AI platform for real-time sensor intelligence. It enables engineers to build, deploy and manage deep learning pipelines — without writing code — on everything from cloud servers to air-gapped edge devices.
The platform ingests video, audio, thermal, radio and data streams simultaneously, processes them through configurable neural network pipelines, and outputs structured results to any industrial protocol including OPC UA REST MQTT and MOXA.
No. While LLMs excel at processing text, MarshallAI is a computer vision and sensor intelligence platform. We utilize neural networks optimized for high-speed object and pattern recognition in real-time video streams.
Think of them as siblings: LLMs are the masters of language, while MarshallAI is the master of sight. Our system makes automated decisions in milliseconds—tasks that are outside the current technical scope of standard language models.
The platform is designed for any application requiring real-time detection, classification or tracking from sensor data. Common use cases include:
- Industrial quality inspection and defect detection on production lines
- Assembly verification
- Label & Packaging verification
- Yield & Throughput monitoring
- Material grading
- Safety Compliance
- Vehicle and pedestrian tracking and classification
- Predictive maintenance from audio and vibration sensors
- Perimeter security and intruder detection
- Tactical intelligence and surveillance at the edge
Because the pipeline is node-based and configurable, the same platform adapts across industries without rebuilding from scratch.
The node-based editor is designed for engineers and operators without a machine learning background. Building and modifying pipelines requires no coding — nodes are connected visually and configured through a web UI.
For custom model training or integration work, a basic understanding of data collection and labelling is helpful. Our team provides training and onboarding as part of deployment.
Yes. A turnkey deployment includes hardware, software, installation, model training and operator onboarding — delivered as a single contract. Typical scope covers:
- Site survey and sensor placement planning
- Hardware provisioned and pre-configured for your environment
- Pipeline build and initial model training on your data
- Integration with your existing SCADA, MES or output systems
- On-site commissioning and acceptance testing
- Operator training and documentation
- Support and maintenance based on Service Level Agreement (SLA)
Contact us for a scoping call — most industrial deployments are production-ready within 4–8 weeks from project start.
Standard industrial deployments go from scoping call to production in 4–8 weeks. The timeline depends primarily on data collection for model training and the complexity of output integrations.
We can build proof-of-concept pilots in days using images and data from your sensors.
Yes. The platform outputs to all major industrial protocols natively. If your system accepts OPC UA, REST, MQTT, ModbusTCP, InfluxDB or basic TCP/UDP, integration is straightforward. MOXA relay and other digital outputs are also supported for direct hardware actuation.
MarshallAI is hardware and OS agnostic and runs on ARM and x86 architectures and has been deployed on laptops, mini-pcs, standard rack servers and our own REID-4 Edge Device.
We support virtually any industrial camera (GigE, USB3, RTSP) or sensor. If your existing infrastructure meets the necessary specifications for your use case, we can re-use your current hardware to reduce deployment costs and installation time.
REID-4 is our purpose-built edge device — a ruggedised compute unit designed to run MarshallAI in demanding environments. It handles 5–15 simultaneous data streams, operates from –40°C to +50°C, is rated IP68, and connects via a single CAT6 cable for both power and data.
You do not need REID-4 to use MarshallAI. The platform also runs on standard server hardware or cloud infrastructure. REID-4 is the right choice when you need on-premise processing, disconnected operation, or MIL-STD-810H environmental resilience.
No. MarshallAI is designed for fully on-premise, air-gapped deployment. Sensor data, model weights and inference outputs never leave your network unless you explicitly configure an external output destination. There is no mandatory cloud connectivity, telemetry or licensing call-home.
The platform software is deployable in classified environments and we work with customers on compliance documentation for defence and critical infrastructure procurement.
The REID-4 hardware is designed and tested to MIL-STD-810H and AECTP 100-500 environmental standards.
For specific certification requirements, contact our team directly.
