AI-POWERED INDUSTRIAL INSPECTION
Quality inspections.
At the speed of production.
Detect defects. Verify products. Take action.
Automated inspection systems built around
your production line.
Actual inspection speed is measured in milliseconds. MarshallAI can comfortably inspect over 150,000 units per hour.
Trusted by
Small details. Real consequences.
Our solutions
Different products. Different quality issues.
Inspection configured for what matters to you.
What we deliver
AI inspection.
Three ways to put it to work.
Choose a complete system, add intelligence to your existing cameras, or build with AFSA software.
Complete system
Turnkey solution for your production line.
We deliver a working inspection system, from cameras and AI models to installation and production-line integration.
- Cameras, lighting & processing
- AFSA software & trained models
- Installation & system integration
- Operator training & agreed support
Retrofit
Add intelligence into existing cameras.
Upgrade suitable existing industrial cameras or CCTV cameras for AI inspection and process monitoring. Detect conveyor jams and process disruptions.
- Existing camera & video-stream assessment
- AFSA process monitoring & model development
- Alerts & automation integration
- Commissioning & validation
Software only
Your team. Our technology.
License AFSA for your team to build and manage inspection and monitoring applications. You typically develop your own models; our development services are available separately on request.
- AFSA platform licence
Optional services
- Annotation & model training
- Model evaluation & analytics
- Inspection application development
Provided by MarshallAI on request. Scoped and quoted separately.
Case study – Cosmetic aerosol inspection
One production line.
Dozens of products.
One inspection station.
MarshallAI deployed an automated inline inspection station and rejection unit. Every SKU gets inspected automatically without any operator input or re-configuration between batches.
+99%
errors caught
Engineered for the real world
Fits your production.
Works on your terms.
AI vision and sensor intelligence for your toughest inspection challenges. One partner, from the first image to a working system.
One partner. The complete system.
From sensors and mounting to AI model training and rejection. We deliver the whole inspection system.
Inspection at full line speed
Detect anomalies, measure objects and grade materials in real time—from millimetre-sized components to large, continuous products.
The right sensors for the task
Use IP, GigE, 3D, line scan or SWIR/NIR cameras. Connect existing cameras and measurement data from third-party sensors.
No configuration between SKU changes.
Automatic product, batch and SKU recognition keeps inspection moving, without manual reconfiguration between changeovers.
Connected to your production
Integrate with MES, SCADA, ERP and line automation. Trigger rejection, track results and investigate quality issues.
Your data stays on-site
AFSA processes inspection data within your facility. Keep production running securely, with no external processing dependencies.
Live in weeks, not quarters
Most industrial deployments reach production in 6–8 weeks from scoping. Pilots can run in days.
Start small. Scale easily.
Begin with one inspection station, validate the results and expand across your production with the same AFSA platform.
Our process
Three steps.
A clear way forward.
You don’t need a finished specification. Start with the quality issue you want to solve.
-
Scope the challenge
We explore your product, process, what you need to detect and what the problem costs you. You’ll also see a demonstration of our platform and its capabilities.
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Assess what’s feasible
We analyse what we’ve learned and assess whether—and how—the challenge can be solved. We explain the proposed inspection approach and what still needs to be validated.
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Agree the targets and plan
Together, we define the KPIs that matter. We then present a proposal covering the inspection process, delivery scope, service levels, pricing and ongoing support.
Once the proposal is approved: installation, data gathering, model training, integration, operator training and support.
Featured Industries
Automate Operations with Advanced Computer Vision Capabilities
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 our AFSA-platform 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 AFSA. 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. Our AFSA-platform 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.
