When an existing solution is not enough — we build around your process
The full research to production cycle: models, backend, mobile applications, integrations and support.
From an idea to an industrial system — with measurable results at each step.
Three ways to start — for your task and timescale.
Check whether AI fits your process before investing in a wider rollout.
Bring the solution into production and integrate it with your IT systems.
Maintain accuracy as data changes and develop new functionality.
An end-to-end pipeline, from camera to ERP. Video stays on site.
We cover the full cycle in house — from models to industrial integration.
What customers ask before starting.
Usually 4–8 weeks: data collection and annotation, model training and a demo on your data with measured accuracy. Deliverables are a feasibility report and a scaling plan.
We agree target metrics before starting. The pilot measures results on your data, so you decide whether to scale based on achieved accuracy.
We adapt models to workshop lighting, camera angles and domain shift. During Discovery, we review the current camera setup and recommend extra cameras or lighting where needed.
Your data remains yours. Source code transfer is optional and agreed in the contract. Inference can run on premises without sending video outside your site.
Through REST APIs and industrial protocols such as OPC UA, MQTT and RTSP. We send line events and metrics to your business systems and dashboards.
Yes. MooMind is an accredited IT company in Russia and can support projects under Federal Laws 44-FZ and 223-FZ where applicable.
It depends on camera and line counts, data volume and integrations. We start with a pilot with a fixed budget and schedule. A detailed estimate follows Discovery.
Let's discuss your project
Tell us about your task. We can discuss a CV solution, model adaptation or integration with your production systems.