100% Local AI · No network traffic

Custom computer vision
for your business needs. On your own hardware.

We develop a standalone computer vision application tailored precisely to your company's needs using our proprietary software technology. The solution is deployed directly onto your hardware: the system is completely closed – no inbound or outbound traffic, with no cloud dependencies or external connections.

No inbound or outbound traffic Customized with our software Independent proprietary architecture Windows & Linux inference
ValliLab · local inference run
Real-time local inference

The application we customize executes detection and rule logic independently on-site without network traffic or cloud latency.

DATAStays in your local folders
EXECUTIONProduced with our ValliLab software
APPLICATIONA standalone application tailored to you
CONNECTIONSNo inbound or outbound traffic

01 / CUSTOM APPLICATIONS FOR DIFFERENT INDUSTRIES

Turning reliable observations into measurable benefits.

We build and deliver bespoke applications for situations where an automatic decision, count, or alert needs to be derived from a camera feed in a 100% closed environment.

Use Case 01

Quality control & inspection

Manufacturing and assembly errors, missing parts, incorrect packaging, or anomalous positions are flagged for inspection in real-time.

Use Case 02

Counting & workflow tracking

Automated statistics and counting of items, pallets, work phases, or events directly from the camera feed without manual labor.

Use Case 03

Area monitoring & anomaly detection

Automatic tracking and rule-based alerts for logistics areas, traffic, vehicles, dwell times, or unauthorized boundary crossings.

01

Needs definition

Together, we define what needs to be detected from the camera feed and at what accuracy the application will generate value.

02

Data processing

The data is annotated and preprocessed securely without transferring data to external parties.

03

Model training

We train and optimize a unique computer vision model using our proprietary architecture.

04

Logic & rules

We define the actions: counters, alerts, boundary crossings, logging, or internal network APIs.

05

Finished application

We deliver a standalone, optimized application package (C# / Python / ONNX / TensorRT) directly to your hardware.

02 / HOW WE WORK

We produce your application using our powerful software.

As our customer, you don't need to learn complex tools or worry about software maintenance. We implement the entire application from start to finish on our optimized ValliLab development platform.

ValliLab · Annotation and data management
Data annotation environment where objects are accurately classified

Precise data annotation

Data annotation & quality assurance

High-quality computer vision requires flawless data. We process and annotate images and videos locally using our own tools.

  • Bounding boxes, polygons, assisted masking, and tracking
  • Thorough quality checks of the dataset before model training
  • The original data and annotations remain entirely in the customer's ownership
ValliLab · Training and validation
Training dashboard showing model settings, metrics, and loss curves

Optimized performance

Model training & performance measurement

We train targeted models optimized for the customer's specific target hardware.

  • Real-time accuracy metrics (mAP50, mAP50–95) and loss tracking
  • Implementation on our proprietary architecture without third-party dependencies
  • Export directly to fast ONNX or TensorRT inference formats
ValliLab · Custom rule logic
Application monitoring view where rules are set for detected objects

Ready-to-use application

Custom rule logic and delivery

Using our generation tool, we build a complete standalone application around the model with the exact rules you request.

  • Monitoring of areas, gates, boundary crossings, and dwell times
  • Connections to USB cameras, RTSP network cameras, and video files
  • Alerts, CSV statistics, image logs, and integrations with your internal systems
  • A complete standalone application package with no open ports or external connections

03 / REALISTIC APPROACH

We don't promise magic, but verifiable results.

The practical effectiveness of computer vision depends on lighting, camera angles, resolution, and the variation of anomalies. That is why we always start projects with a clearly defined pre-study or pilot before any heavy investments.

  • Verifiable measurement with real materials in the actual environment.
  • Results are reported with clear metrics and margins of error.
  • You will always receive an honest technical and financial recommendation on how to proceed.

04 / AGILE START

A scoped pilot before the production decision.

The best and most cost-effective way to evaluate the suitability of computer vision is to execute a quick pilot project using your sample material.

Required from you

Initial specifications & data

  • Images or a short video clip from the actual operating environment
  • A description of the object, defect, or situation to be detected
  • An estimate of the desired detection speed and accuracy
  • Information about the desired target hardware (PC, industrial PC, server, edge device)

What you receive from the pilot

Material for decision-making

Feasibility assessmentA clear answer on whether the target can be reliably detected.
Baseline modelThe first functional model version tested on your data.
Measurement resultsA concrete report on detection accuracy and performance.
Continuation plan & cost estimateA clear path forward for production implementation and integration.

05 / FREQUENTLY ASKED QUESTIONS

Questions about custom computer vision and data security.

Does any data travel in or out of the system?

No. The applications we develop run 100% locally on the customer's own infrastructure. No external remote connections are opened to the application, and it does not send data, telemetry, or tracking information outward. The environment is completely closed and can be air-gapped.

Can the solution be used in a completely isolated (offline) network?

Yes. The finished computer vision application and its inference engine function entirely without an internet connection. Deployment does not require any connection to external servers, inbound or outbound.

How is the application produced for the customer?

We use our proprietary ValliLab software platform for development, allowing us to create a model and rule logic customized to your needs. Ultimately, we deliver a standalone runtime package (e.g., C# + ONNX or Python + TensorRT) that runs directly on your hardware.

Which industries are your solutions suitable for?

We tailor computer vision for all industries where camera feeds are used to automate measurements, quality inspections, compiling statistics, or generating alerts. Typical applications include manufacturing and industry, logistics and warehousing, property and area security, and the monitoring of traffic and material flows.

Is the solution based on third-party components?

No. Our architecture is built independently without binding additional third-party dependencies. You get a standalone, highly reliable piece of software.

What kind of hardware is needed to run the application?

Depending on the required inference speed and resolution, the applications can be scaled for a standard office PC, a mini-PC, an NVIDIA edge device, or an industrial server. Hardware requirements are defined during the pilot.

Who owns the trained model and the data in the project?

The customer always retains ownership of their data, the annotations created, and the finalized customized model, in accordance with the delivery agreement.

LET'S DISCUSS YOUR NEEDS

Can the target be seen with a camera? Let's find out.

Tell us what kind of object or situation you want to monitor. You will receive a quick assessment of its feasibility and a proposal for a pilot execution.

Start a conversation via email

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