Service

AI integration and business automation

Where AI helps, and where it doesn't

AI is good at reading, summarising and understanding language. It is bad at being exact without supervision. So we use the model for language and leave numbers, decisions and permissions to ordinary, tested code.

What we build

Example: the assistant on this website

The project assistant on our homepage talks to visitors and gives an indicative price. It is built so the model cannot make up a number:

Example: self-hosted face detection in Kindora

In Kindora, a self-hosted face detection model (UltraFace on ONNX Runtime) blurs children without consent in photos. Nothing is sent to an external AI service, and if the detector is unavailable the pipeline fails closed: the photo is not published.

Technologies

Gemini on Vertex AI, Azure OpenAI and the OpenAI API, self-hosted ONNX models, with .NET or Node.js backends. We pick the model and the hosting region according to your data and requirements.

Questions and answers

Is our data used to train AI models?

We choose providers and settings where your content isn't used for training, and we explain the data flow before implementation. Variable AI usage costs are billed separately from the project.

What will it cost?

Describe your idea to the assistant for an indicative range; the final price and timeline are agreed after an individual review.

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