Stop defects, increase margins and automate even demanding inspection task
MarshallAI turns cameras, sensors and data into a real-time quality inspection system that runs sentirely on-site.
No line rebuild, production-ready in weeks and ROI in months.
Suitable for different industries.
Annual savings potential
50k-200k€*
Less scrap, false positives and rework
Increased line efficiency
Payback typically in under 12 months*
Integrates with ERP and automation systems
Fast deployment, with no downtime
Secure edge processing
*Results vary based on industry and current quality measures.
Why MarshallAI
Increase margins and quality with automated inspection
AI powered solutions for manufacturing, infrastructure and defence
The solution
MarshallAI provides end-to-end solutions for quality assurance, process optimization and inspection tasks.
We use our own AFSA deep learning vision platform to automate tasks that were previously impossible to automate.
We utilize any camera or sensor to bring real-time intelligence to production lines, smart cities and tactical deployments.
Our sovereign and secure platform runs completely on-site, deploys fast and has zero external dependencies.
- All-in-one solution: sensoring, rigging, model training and output (ejection, statistics etc.).
- 99,99995% accuracy at extreme line speeds.
- Integration with MES, SCADA & ERP systems.
Learn more about our technology
Featured Industries
From our clients
Proven under pressure: 1st Place Winner
xTech Global AI Challenge: a US Department of Defence competition for AI solutions.
MarshallAI won the competition by deploying a custom detection model from scratch in 1 hour and 40 minutes using only 77 images, without internet connection.
This proves that you don’t need massive datasets or cloud processing to run AI models.
AI Powered Computer Vision For All 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.
Automate Operations with Advanced Computer Vision Capabilities
How It Works
A complete turnkey AI computer vision solution
Our end-to-end solutions include all necessary scoping, hardware, software, installation and support.
Common
Questions
MarshallAI is a computer vision and sensor intelligence company that provides turnkey solutions for automated optical inspection, process optimisation and signal analysis. MarshallAI utilises its proprietary AFSA (Agile Focused Signal Analysis), a node-based multimodal AI, platform for real-time sensor intelligence (eg. machine vision). AFSA can be used to build, deploy and manage deep learning pipelines very quickly.
AFSA 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. MarshallAI is a computer vision and sensor intelligence company and AFSA is our deep learning platform. While LLMs excel at processing text, 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, on tasks that are outside the current technical scope of standard language models.
MarshallAI can provide a variety of solutions for different industries. Here are some examples:
- Industrial quality inspection and defect detection on production lines
- Assembly verification
- Label & Packaging verification
- Yield & Throughput monitoring
- Material grading
- Safety/PPE 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
We also sell licenses to our AFSA platform and have our own REID4 edge hardware.
This depends on how you work with us:
Turnkey clients. If we deliver the full solution, no computer vision or coding background is needed on your side. We build, train and maintain the pipeline for you. Day-to-day, your team works with the results, dashboards and alerts configured for your systems, and any change to detection logic goes through our team under your support agreement. Operator training on the interface is included as part of onboarding.
Platform license holders. If you’re running AFSA independently, the node-based editor is built 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 helps. Training and onboarding are included as part of every 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 6–8 weeks from project start.
Standard industrial deployments go from scoping call to production in 6–8 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. Our AFSA 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.
Our solutions are hardware and OS agnostic. We can use ARM and x86 architectures and have 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.
