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Case studies

Only what you can verify.

What we built for clients, how it works and how fast it pays back. All nine projects are in production. Every number shows where it comes from: “per client data” or “estimate”.

9 systems in productionpayback from 2 monthsevery number is labeled with its source: per client dataestimateCalculate the payback on your numbers (in Ukrainian)

We describe clients by type and publish names only with their consent.

  • ProcurementIntegratorin production

    Forecast-based purchasing for restaurants and catering

    Client
    Restaurant group in Czechia: 4 restaurants and catering; before the project, one kilogram of food in five went to waste, ≈€170k a year
    What we built
    POS data from every location, a forecast per item and location, tomorrow's order drafted automatically; the manager approves it with one tap in Telegram, and at 07:45 the suppliers have their orders
    Status
    In production

    7.5%per client datawaste instead of 21%: 2.8 times less

  • AgentIntegratorin production

    An AI salesperson in Direct, from reel comment to shipping label

    Client
    Clothing store on Instagram, 17 products in ≈350 variants
    What we built
    An agent for Direct and comments: replies within a minute day and night, finds the product from a photo, checks stock in the CRM, creates the order and the shipping label, upsells; the owner confirms payment
    Status
    In production

    +15%per client datarevenue in the first 2 months with the agent

  • AgentVoicein production

    AI front desk for a dental clinic chain

    Client
    Dental clinic chain in Ukraine: 3 clinics, 11 chairs; before the project, one patient in six missed the visit
    What we built
    24/7 booking in chats and by phone, reminders and reconfirmation, a waitlist for every cancellation; the administrator confirms complex bookings
    Status
    In production

    6%per client datano-shows instead of 17%: 2.8 times fewer

  • AgentVoicein production

    Four AI agents for a car dealer hub

    Client
    Car hub importing from US and Korean auctions; before the project, lead conversion was 3% and a request took 1–1.5 days to handle
    What we built
    The agents message and call a lead right away, qualify it in the CRM without duplicates, find cars, guide the client until pickup and buy a “Buy Now” lot when the manager taps the button
    Status
    In production

    up to 3 minper client datato first contact with a lead, instead of 1–1.5 days

  • Leadgenin production

    Cold outreach where no letter goes out without a human

    Client
    Ukrainian maker of corporate merch, B2B. Before the project: 2,000 cold leads in 5 months, worked by hand
    What we built
    A dossier and a letter written for each addressee, sent after the manager's “ok”, conversations on Instagram and Telegram, prices, invoice and payment, follow-ups and an AI assistant for the whole business
    Status
    In production

    20–25%per client dataof addressees reply to cold outreach, averaged across all channels

  • Custom softwareAgentIntegratorin production

    Custom CRM and an AI salesperson for an electronics store chain

    Client
    Chain of stores selling used electronics from Europe: retail and B2B
    What we built
    A custom CRM with every channel, lead routing, roles and Binotel telephony; the AI salesperson filters out irrelevant requests, closes simple sales and learns from the best managers
    Status
    In production

    +5–8%per client datasales conversion in the first month

  • Procurementin production

    Demand forecast and a ready order to manufacturers

    Client
    Veterinary and pharmacy products brand: up to 200 items, 2 contract manufacturers, 10 years of sales history
    What we built
    A forecast for each item and a ready order to the manufacturer within the stock budget, with an explanation and a shortage warning; the buyer confirms
    Status
    In production

    −22%per client datamoney tied up in stock

  • Custom softwareIntegratorin production

    A lending pipeline that sets personal terms in 40 seconds

    Client
    Non-bank lender in Ukraine: ≈40,000 applications a year; before the project, an underwriter spent 1–2 days checking each one
    What we built
    Scoring trained on the lender's own loans, document checks, a personal rate, limit and schedule; the underwriter decides gray-zone cases with a ready analysis
    Status
    In production

    40 sper client datafrom application to terms, instead of 1–2 days

  • Custom softwareIntegratorin production

    A therapy booking platform with a catalog, packages, payment and calendar

    Client
    Company from Czechia, an online platform for psychological support
    What we built
    A product built from scratch: a matching quiz, Calendly slots, card payment, packages, accounts for three roles, emails and a funnel from click to payment
    Status
    In production; development continues

    2 minper client datafrom the button on the website to payment: a full-cycle system

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