S&Y Technologys
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Tashkent · 2026

Money leavesthrough the gapsnobody watches

We find where the money is actually going and build software that sees it.

From the first conversation to a system people use every day.

Tell us your problemHow we work

Problems

What people come to us with

The industry changes, the substance repeats: the process runs, the data piles up, nobody can see what is going on.

  • Losses are real, the cause is not

    The totals do not add up and which step breaks them is unclear. Finding out means digging by hand.

  • Data is recorded and never used

    Systems faithfully log everything, and nobody has the time to read those volumes.

  • Control depends on people

    Whether anything gets checked comes down to who had the time. The more units, the lower the odds.

  • Problems surface far too late

    You hear about it weeks on, when there is nothing left to put right.

How we work

Six steps from first call to a system in use

We do not start by writing code. First we need to know whether software should be solving this at all.

  1. 01

    You get in touch

    You describe what hurts, in your own words. No specification needed.

  2. 02

    We study the problem

    We look at how the process runs and what data exists. Often the cause is not where everyone looked.

  3. 03

    We propose a solution

    What we will build, what it gives you and what we will not do — with timelines and cost.

  4. 04

    We agree on scope

    Scope and acceptance criteria in writing: how both sides will know it worked.

  5. 05

    We build it

    In short iterations: you see the product as it takes shape, not at the end.

  6. 06

    We roll it out

    We connect it, train your people and stay on for support.

What we do

How we solve it

Three areas. Every solution is built for the business in front of us, so the scope and the steps differ from project to project.

  • Operational data analytics

    The system takes a stream of events and finds what a person watching it cannot. Right now we apply this to point-of-sale data in retail chains.

  • Computer vision

    Recognising events from the cameras already on the floor, matched against what went through the register.

  • Web and mobile products

    Working interfaces people sit in all day, and mobile apps that notify.

Products

What this looks like in practice

Our own product, where the first two areas were worked out.

  • ZK Analytics

    Loss control for retail chains, from point-of-sale data

    SaaS for retail chains. The system receives events from point-of-sale systems, rules surface suspicious transactions, and security staff review each incident and confirm or dismiss it. Potential and confirmed losses are counted separately — what is suspected never gets presented as proven.

    More about ZK Analytics →
    Who it is for
    Retail chains: supermarkets and convenience stores
    Market
    Central Asia
    Data source
    Point-of-sale systems over API and video surveillance cameras

Team

Six people

A small team is not a disclaimer — it is how decisions get made: nothing sits between a request and working code.

  • Yusupov Kamol

    Yusupov Kamol

    CEO

  • Zafar

    CEO

  • Vakhobov Kozimjon

    Vakhobov Kozimjon

    CTO

  • Lifa

    Product Manager

  • Umurzakov Ali

    Computer Vision Engineer

  • Godenko Alexey

    Godenko Alexey

    Developer and QA

Contact

Tell us what hurts

A first conversation commits you to nothing. If the problem can be solved without us, we will say so.

Find us

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