When an existing solution is not enough — we build around your process
From a feasibility prototype to an installed system: models, operator interfaces, 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 when production conditions change and extend the system.
Technical pipeline and integration details
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.
A feasibility test typically takes 4–8 weeks after representative data is ready. Hardware supply, installation and live-shift validation follow a separate site-specific schedule.
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
Describe what you need to check or measure. We will clarify the process, available data and a suitable next step.