Why Big Tech Can't Build a Precise Product Database – and Why We Did

2 points

a year ago

Everyone talks about Big Data. But when it comes to actual engineering, logistics, or international trade — the reality is noise, chaos, and duplication.

We built CTMinfo as an alternative paradigm: 100% verified, unambiguous, internationally standardized product data. Not predictions. Not AI guesswork. Just clean, structured, human-validated truth. The problem: Too many names for the same thing

Take an AA battery, for example.

It may be called:

    Duracell Basic AA (LR6/ER14505/FR6/R6P)

    GP Ultra AA (LR6/ER14505/FR6/R6P)

    Philips LR6E4B/97 AA

Same product. Dozens of names. Different catalog structures. Different classification systems.

This is just one category. There are 10,000+ product categories worldwide facing the same chaos. What we did differently

We introduced two concepts:

SmallData — not millions of dirty entries, but compact, human-verified data structures. OpenTech — logic that is explainable, verifiable, transparent. Not a black box.

Instead of collecting noise, we extract meaning. Each product gets a unique international code, e.g. 31-0015-5643-1002-002, which precisely describes:

    “Battery type AA, alkaline, 1.5 V, 1500 mAh”

This allows:

    universal search across manufacturers

    matching of real analogues

    complete catalog standardization

    clear link to real physical characteristics (voltage, composition, dimensions)

Why Big Tech can’t (and won’t) do this

Because their incentives are the opposite.

     They monetize ambiguity — the more similar products you see, the more ads you click.

     Their systems are built on AI approximations, not physical properties.

     They rely on scale, not structure — and can’t easily reverse course.

To build something like CTMinfo, you need:

    engineers who understand supply chains,

    people who’ve worked with customs, logistics, and real catalogs,

    and domain experts who verify each entry by hand.

No amount of machine learning will replace that. Is it scalable?

Yes — in a different way.

Our business model is simple:

    $1/month per verified product listing

    100% accuracy, no duplicates, no fuzzy logic

    Perfect for ERPs, customs, government procurement, science, and automation

Start with one category. Build trust. Expand.

Example: Just the AA/AAA battery market is $20B/year globally. Our verified database could cover it with 7 specialists in 1 year. And save millions in search, procurement, and error reduction. This is more than a catalog

This is a structural challenge to how information flows today.

CTMinfo is:

    beyond politics, beyond corporate influence

    a system where lying is technically impossible

    an open ontology of physical reality, built from real-world data

We're not here to guess what users meant. We describe what is.

Contact: Dmitriy Andriyanov ctminfocom@proton.me www.ctminfo.com Telegram: @ctminfocom

They monetize ambiguity — the more similar products you see, the more ads you click. Their systems are built on AI approximations, not physical properties. They rely on scale, not structure — and can’t easily reverse course.

No comments

No comments