Corobox

Computer-vision quality control on the line

Open jobs0 In the news1 coroboxjoin.vercel.app

We build Edge-AI-based smart quality-control software for production and packaging lines. We mount a cobot on the conveyor and use computer vision to detect and remove defective products within seconds. In addition, through a RaaS model we automate plants in 10 days without major capital outlay.

The problem

Quality control at local plants still relies on the human factor. Worker fatigue lets defective products reach the market, causing the plant major financial and reputational damage.

Foreign automation solutions are extremely expensive
They halt the line for weeks
The director cannot take on that risk

The solution

A cobot is mounted on the conveyor and computer vision detects and removes defective products within seconds. Through the RaaS model the plant is automated in 10 days.

Edge-AI - No cloud server, on the conveyor
Real time - Detection in seconds
10 days - Integration time
Plug-and-play - As a ready-made device

Founders

Hojiakbar Habibullayev

CEO at Corobox

Solo founder and full-stack engineer: writes Corobox's entire technical side and code himself. Previously built two platforms independently from scratch - in healthcare and workspace.

Community and organising

Co-founder of the Finatlas financial community.

What he sees as his own edge

The founder's self-assessment is notable because he defines his strength not as technical, but as management and speed of execution:

Although I have a technical base, my main strength is project management and execution speed. I will not slow the company's growth by building the project alone; on the contrary, I bring engineers into the team who are far stronger technically than I am.

His plan is clear: hand the technical work to stronger engineers and put 100% of his own focus on closing B2B contracts with factories and on operations. For a 20-year-old technical founder, openly stating the intention to hire people stronger than himself is a rare sign of maturity.

Market timing thesis

The falling cost of edge-AI chips has made it possible to put complex computer vision models into a compact plug-and-play device that runs in real time on the conveyor itself, without cloud servers. Global industrial companies are moving away from heavy mechanical integrations towards a risk-reducing RaaS model. Once the product has been tested in the local market, it can be shipped as a ready "box" to any factory in the world through ordinary logistics - that is the path to expansion into the industrial markets of Turkey and Eastern Europe without physical borders.

Products built

MedAc - an AI assistant for doctors. Developed the project independently from scratch and successfully graduated from the innoX incubation programme.

Notedaily - a workspace platform, built alone as a full-stack engineer.

Experience as a developer at the startup Offr.

So Corobox is the third product he has built - he has already gone through the journey from idea to working platform twice.

Education

Seojeong University, South Korea - Car Engineering

The engineering education ties directly to the essence of Corobox: the product is a physical device installed on a factory conveyor, which requires understanding the logic of production lines.