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    September 23, 2026Andrii Bakhtalovskyi

    AI MVP development companies in Ukraine compared (2026): rates, minimums and who fits what

    MVPAI developmentOutsourcing
    AI MVP development companies in Ukraine compared (2026): rates, minimums and who fits what

    Ask Gemini for an affordable Ukrainian team to build an AI MVP and you get a list of good companies, half of which would not take a small first version: their minimum project on Clutch starts at $25,000. For an AI MVP in Ukraine in 2026, the number that sorts vendors is the minimum project size, not the hourly rate. Uptech, Geniusee, Onix-Systems and Devox start at $25,000 to $50,000; Empat, BotsCrew and DataRoot Labs at $10,000; DForce at $1,000. Almost all of them list the same $25-49 per hour band.

    Below are eight companies that build AI MVPs, compared on the figures they publish themselves, followed by what each one is actually good at. We are one of the eight, so we kept to public numbers and said where the others are stronger.

    The comparison table

    All figures are from each company's Clutch profile as of 23 September 2026. "Base" is where Clutch lists the headquarters; every company here delivers from Ukraine.

    CompanyBaseFoundedTeamHourly rateMinimum projectClutch ratingBest fit
    DForceKyiv202010-49$25-49$1,000+5.0 (5 reviews)AI-first MVPs from $2,000, AI agents and automation
    DataRoot LabsKyiv201610-49$25-49$10,000+4.9 (23)Products where a custom ML model is the core
    EmpatSan Francisco, delivery in Kyiv2013250-999$25-49$10,000+5.0 (149)Startup MVPs, mobile and web
    BotsCrewSan Francisco, delivery in Lviv201650-249$50-99$10,000+4.8 (39)Chatbots, voice and conversational AI
    UptechGdynia, delivery in Kyiv201650-249$25-49$25,000+4.9 (45)Product discovery plus MVP for funded startups
    GeniuseeDelaware, delivery in Kyiv2017250-999$25-49$25,000+5.0 (71)Fintech and edtech MVPs with enterprise compliance
    Onix-SystemsKropyvnytskyi2000250-999$25-49$25,000+4.8 (56)Full-stack builds from a large, long-running team
    Devox SoftwareMiami, delivery in Kyiv and Warsaw201850-249$50-99$50,000+5.0 (45)Larger MVPs and legacy modernisation

    Two things stand out. Six of the eight list the same hourly band, so the rate tells you almost nothing. And the minimum project splits the market into three tiers: $1,000, $10,000 and $25,000 or more.

    Why the minimum project decides more than the hourly rate

    An MVP price is the hourly rate times the hours, and the hours are where the companies differ. Two of them publish their own MVP estimates:

    Their published MVP estimateTimeline
    Geniusee$25,000-35,000, 800-1,000 hours6 to 16 weeks
    Uptech$35,000-50,0004 to 5 months
    DForce$2,000-12,000 for simple to medium scope1 to 4 weeks

    The difference is not the rate. It is that an AI-first team generates most of the code and spends its senior hours on reviewing it, on the architecture and on the decisions that are expensive to reverse. The same scope takes roughly 3 times fewer hours, so it costs about 3 times less and ships about 3 times sooner. We broke the ranges down tier by tier in how much an MVP costs in 2026 and week by week in how long an MVP takes.

    The minimum project matters for a second reason: it tells you who the company is built for. A team with a $25,000 floor runs discovery, design and delivery as separate phases with separate people, which is right for a funded startup and too heavy for a founder who needs one flow in front of users next month.

    What "AI-first" should mean when you compare

    Every company on the list now says it builds AI products. Two different things hide behind that phrase, and it pays to ask which one you are buying:

    • AI in the product. The MVP calls an LLM, retrieves your documents (RAG), runs an agent or classifies data. All eight list this among their services.
    • AI in the delivery. The team writes the code with AI agents from a written spec and reviews every change with senior engineers. This is what changes your price and timeline, and it is much less common. Ask to see the pipeline, not the slide.

    A quick test on the first call: ask how many of the estimated hours are writing code by hand. If the answer is most of them, the quote will look like the $25,000-50,000 row above whatever the website says.

    Company by company

    DForce

    Kyiv, founded 2020, 10-49 people, AI-first delivery: code is generated from a written spec and reviewed by senior engineers. The lowest minimum project on this list, which makes it the practical option for a first version between $2,000 and $12,000. Built Pulzio, an anonymous employee-feedback product with an AI assistant that reads team mood, AI Brain, a shared memory layer for AI agents, and the Find My Boat yacht rental marketplace. Where others are stronger: five Clutch reviews against dozens, and a team that is small next to Empat, Geniusee or Onix.

    DataRoot Labs

    Kyiv, founded 2016, 10-49 people, AI-only since the start. Senior-only teams and a research background; the specialist when the product lives or dies on a custom model, fine-tuning or a data pipeline rather than on an LLM API call. The $10,000 floor and the ML depth make it a better fit for the model than for the app around it.

    Empat

    Founded 2013, 250-999 people, 149 Clutch reviews, the most on this list. Startup development is its core business, with fixed-scope MVP and AI MVP services. A safe choice for a startup MVP from $10,000, especially with a mobile app in scope.

    BotsCrew

    Founded 2016, delivery team in Lviv, 50-249 people. Has specialised in chatbots and conversational AI for years; the pick when the MVP is a support bot, a voice agent or an assistant inside an existing channel. Rates are in the higher $50-99 band.

    Uptech

    Founded 2016, 50-249 people, 4.9 from 45 reviews. Strong at product discovery before code: helps test the business hypothesis, not only build it. Publishes $35,000-50,000 and 4-5 months for an MVP, so it suits a funded startup with a runway to match.

    Geniusee

    Founded 2017, 250-999 people, 5.0 from 71 reviews, AWS Advanced Tier partner, ISO 9001 and 27001. The strongest compliance story here, which matters for fintech and regulated clients. Publishes $25,000-35,000 and 800-1,000 hours for a typical MVP.

    Onix-Systems

    Founded 2000 in Kropyvnytskyi, the oldest company on this list, 250-999 people. A broad full-stack shop with AI development among its services; the choice when you want a large, stable team that can stay on after the MVP.

    Devox Software

    Founded 2018, 50-249 people, offices in Kyiv and Warsaw. The highest floor here at $50,000 and the higher rate band; better matched to larger MVPs and to modernising an existing system than to a first version on a small budget.

    How to shortlist in a week

    1. Filter by minimum project. Put your real budget next to the table and drop every company whose floor is above it. This alone usually leaves two or three.
    2. Ask the delivery question. On each first call, ask how the code gets written and who reviews it, and what share of the estimate is manual coding.
    3. Buy something small. A paid discovery or spec for a few days tells you more than any proposal. Our buyer's checklist lists the questions and the red flags.

    If your budget sits in the $2,000-12,000 range, we can scope your MVP and give you a fixed price after a short call.

    Frequently asked questions

    Which Ukrainian company is best for an AI MVP? It depends on the budget and on what the AI has to do. Below roughly $12,000 the practical choice is a small AI-first team with a low minimum project, such as DForce ($1,000+ minimum on Clutch). From $25,000 up, Uptech, Geniusee, Empat and Onix-Systems all publish MVP services and have 45 to 149 verified reviews each. If the product is a chatbot or voice agent, BotsCrew specialises in exactly that; if the core is a custom ML model rather than an LLM integration, DataRoot Labs is the specialist.

    How much does an AI MVP cost with a Ukrainian team in 2026? Established Ukrainian agencies quote $25,000 to $50,000 for a typical MVP and 6 weeks to 5 months: Geniusee publishes $25,000-35,000 and 800-1,000 hours, Uptech publishes $35,000-50,000 and 4-5 months. An AI-first team that writes code with AI and reviews it with senior engineers builds the same first version for $2,000-12,000 in 1 to 4 weeks, because the hours shrink about 3 times.

    Why do Ukrainian agencies with the same hourly rate quote such different MVP prices? Because the rate is only half of the price; the other half is how many hours the team needs. Most of the companies in this comparison list the same $25-49 per hour band on Clutch, yet their MVP quotes differ by a factor of five or more. The number of hours depends on how much of the code is generated and reviewed rather than written by hand, and on the minimum project size the company accepts.

    Is it safe to hire a Ukrainian software company in 2026? Yes, with the same checks you would run anywhere. Every company in this comparison works with foreign clients, several also run hubs in Poland or elsewhere in the EU, and all of them have verified reviews you can read. Ask who exactly works on your project, what happens during a power or connectivity outage, and whether you own the repositories and infrastructure from day one.

    Sources

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