AI in manufacturing: on the line and in the shop
Cameras and data that report downtime and defects themselves
We implement AI in manufacturing around a specific loss: line downtime, defects, slow quoting, safety violations. We work with the cameras you already have and with your ERP and CRM.
Where AI pays off: manufacturing
In manufacturing AI pays off where losses can be counted: minutes of line downtime, defect rate, hours an engineer spends quoting an order. We designed downtime video analytics for a bakery plant with humidity and flour in the shop, and built a SaaS that prices metal parts from drawings. So we start not with a model but with the number we want to move.
Line downtime as it happens, not in a report
A camera watches the line zone: no movement or product stuck on the conveyor starts a timer, a Telegram message to the shift and a beacon in the shop. Downtime is visible by minute and cause, not by write-offs at the end of the shift.
How it works →Defect control on the line
The model compares every item with the reference: chips, deformation, wrong labels or packaging. Defects are rejected or flagged before shipping, with a frame saved for every case.
How it works →Cost from a drawing
Upload a part or assembly drawing and AI works out materials, operations and dimensions and calculates cost, asking the process engineer about anything missing. Customers get a quote without waiting for the engineer to be free.
How it works →Workshop safety
Helmets, gloves, goggles, vests and danger zones near machinery, using the cameras you already have. The violation with a frame reaches the foreman, instead of coming up after an incident.
How it works →Receiving raw materials and parts
The storekeeper photographs the batch and the system counts items, checks labels and visible defects and matches the delivery note. Discrepancies are caught at receiving, not when production starts.
How it works →Orders and 1C without retyping
AI parses incoming orders from email and messengers, enters them into 1C or CRM and answers about status and stock. Sales staff stop retyping specifications.
How it works →
How we start
An AI pilot starts at RUB 300,000, with a precise estimate within 1–2 days after the brief. Video analytics is priced together with cameras, the edge computer and installation.
- We pick one loss with a clear cost: downtime, defects or quoting time
- We check conditions: cameras, lighting, dust and humidity, what data is already in your ERP
- We test the model on real footage or drawings from your plant
- We run a pilot on one line or section with before and after metrics
- We scale to other lines and shops based on the results
Questions
Where should AI in manufacturing start?
With one loss you already measure: line downtime, defects, engineering time on quotes. We build a pilot for it on one section and compare the numbers before and after.
Will the cameras already in the shop work?
Often yes, if the camera sees the right zone at sufficient resolution. We check real recordings before starting; where they fall short, we select cameras for the conditions, including dust and humidity.
Will video leave the plant?
Not if that matters to you: processing runs on an edge computer in the shop, and only events leave it - the time, the zone and the frame of the violation.
How does it connect to ERP and MES?
Via API or file exchange: downtime and defect events go into your reports, orders into your ERP. Integration is part of the pilot, not an afterthought.
Other industries
- Construction and developmentDocumentation, drawings, site safety, apartment sales
- Logistics and warehousingDocuments, shipment requests, warehouse and gate by camera
- Real estate24/7 answers to buyers, lead qualification, call quality control
- Tourism, hotels and events24/7 booking, guest questions, tour and rental requests
- Retail and e-commerceMarketplace product cards, shop assistant, shelf audit, queues