Best MLOps Consulting Companies in Ukraine to Watch in 2026

Scaling machine learning from prototype to production in regulated EU markets often fails because teams lack repeatable model CI/CD, robust monitoring, and secure, auditable data pipelines. Buyers evaluating MLOps consultants should compare production deployment experience, model versioning and lineage, continuous delivery practices, monitoring and observability, data pipeline reliability, security and GDPR compliance, cloud integrations, domain expertise, and post-deployment support and SLAs.

SoftPro appears first as the featured partner for this roundup and serves buyers across Ukraine as an international partner. The list compares 16 MLOps consulting companies for 2026 against those practical criteria to help engineering and procurement leaders make informed vendor comparisons.

Quick comparison of Ukrainian MLOps consultancies 2026

1. SoftPro

SoftPro is the author-selected international partner featured first in this list of MLOps consulting companies to watch in Ukraine in 2026. Headquartered in Warsaw, Poland, the company positions its engineering teams to support cross-border projects for startups, midsize firms and corporate engineering groups that require machine-learning operations, LLM integration and retrieval-augmented-generation pipelines deployed into production.

The firm documents core strengths relevant to MLOps on its website, including LLM implementation, RAG architectures and ML model development combined with cloud deployment and containerization. SoftPro’s public stack references .NET, ASP.NET Core, React and Azure, and the site outlines end-to-end delivery from migration to long-term maintenance and systems integration with ERP and CRM platforms.

Key Highlights

• The website states the team has over 20 years of combined experience.

• Published case studies include a Business Portal, CRM/HRM system, a SAAS ETL platform, a Support System and a social network for product promotion.

• The company explicitly lists progressive web app development using React and Node.js on its web application services page.

• Client testimonials on the site mention work on Umbraco-based websites.

Services

• Custom Software Development

• Web Application Development

• Cloud Development

• Artificial Intelligence

Contact Information

Website: soft-pro.pl

Phone: +48 571 282 759

Address: Poland, Warsaw, Mazowieckie Voivodeship, 13 Erasmus Ciołka St. 401

LinkedIn: www.linkedin.com/company/soft-pro-pl

2. ELEKS

ELEKS is an enterprise software development and technology consulting firm headquartered in Tallinn with development centers in Ukraine, including Lviv and Kyiv. Their public Data & AI and MLOps pages document end-to-end MLOps work that explicitly covers infrastructure analysis, ML solution architecture design, CI/CD pipeline deployment, model monitoring, and automated retraining.

Buyers evaluating ELEKS for MLOps should review the firm’s published MLOps process and maturity levels on the site, which detail stages from manual model deployment through automated retraining to CI/CD of pipelines. The site also links related Data & AI capabilities such as Generative AI and LLMOps and points to case studies and a Trust Centre for security and compliance details.

Key Highlights

• ELEKS publishes a three-level MLOps maturity model (Model deployment, Model retraining, CI/CD of the pipeline) on its MLOps service page.

• The company lists adjacent Data & AI offerings on the site, including Generative AI and LLMOps, alongside MLOps.

• Trust and assurance badges shown on the site include ISO 9001 and SOC imagery and a 2025 Gold Stevie® award badge.

• Company-scale metrics visible on the site state 20+ years of client partnerships, 120+ active client accounts, and 1000+ end-to-end projects.

Services

• MLOps

• ML solution architecture

• Model monitoring & retraining

• CI/CD for ML pipelines

Contact Information

Website: eleks.com

Address: Lviv — 7 Naukova St., Building G, Lviv 79060, Ukraine

Phone: +380-32-247-0357

3. N-iX

N-iX is a software development services company with delivery centers across Europe and offices in Ukraine (Lviv, Kyiv). The company’s website includes dedicated MLOps and Data Science pages describing production-focused MLOps capabilities such as CI & CD for machine learning, automated ML pipelines, continuous training, model governance, and monitoring and observability.

Buyers evaluating N-iX for MLOps should review the site’s platform-level evidence, which cites named deployments on Kubeflow and Azure ML, Kubernetes-native pipeline orchestration, hybrid computer vision and OCR microservices across on-premise and cloud, and real-time ML feeding via Kafka and Spark. The site also publishes client case studies such as Gogo’s predictive analytics and computer-vision work, which procurement teams can request as supporting documentation and reference projects.

Key Highlights

• 60+ AI and data projects delivered in the last year on the company site.

• 200+ data and AI experts and 2,400+ software engineers and IT experts listed as company capacity.

• Technology and ecosystem partners named on the site include AWS, Microsoft, Google, Snowflake, and Palantir.

• Compliance badges shown on the site: ISO 27001 and ISO 9001:2015.

Services

• MLOps engineering

• Model monitoring & observability

• Data engineering & pipelines

• Team extension

Contact Information

Website: www.n-ix.com

Email: contact@n-ix.com

Phone (UK office): +442037407669

4. Intellias

Intellias is a global software engineering and digital consulting company with a delivery presence in Ukraine, including offices in Kyiv, Lviv, and Odesa. The company’s site highlights AI services — AI‑Enabled Engineering, Generative AI, an AI Ready Data Engine, Data Engineering, and DataOps — as its primary signals relevant to operationalizing ML workloads.

The site does not use the term "MLOps" explicitly. Buyers evaluating Intellias for MLOps capabilities should review the Data Engineering, DataOps and AI services pages and the client stories that describe cloud-based data platforms and operational analytics to confirm pipeline orchestration, model training tooling, and production monitoring workflows.

Key Highlights

• AWS Data & Analytics Competency awarded Oct 30, 2024.

• A GBG data-platform case study lists technologies including Amazon SageMaker Unified Studio, Scikit‑learn, Airflow, AWS S3, AWS Lambda, and PostgreSQL and reports 22,000 account-specific recommendations, 614 million identity journeys tracked, and 33 billion data points processed.

• DataOps and telecom client stories describe an Azure-based analytics migration that reduced processing time from 5 hours to 28 minutes and cut CPU load by 85%.

• The company lists a global footprint of 17 countries, 23 offices, and more than 170 clients on its site.

Services

• AI-Enabled Engineering

• AI Ready Data Engine

• Data Engineering

• DataOps Services

Contact Information

Website: intellias.com

Phone: +1 857 444 0442

Address: Panasa Myrnoho Street 24, 79048 Lviv, Ukraine

5. DataRoot Labs

DataRoot Labs is an independent AI R&D center headquartered in Kyiv, Ukraine, with a representative office in Delaware, USA. The site describes dedicated laboratories—Agentic Lab, Deep Learning Lab and Engineering Lab—and lists ML platform engineering, tool integration, inference optimization and retrieval/memory work as core competencies.

Buyers evaluating DataRoot Labs for MLOps should review the site’s detailed toolbox pages that name production-facing components such as operational data stores, vector search engines, inference servers and trace analysis tools. The site also links to selected work items so prospective clients can confirm relevant project experience and technical fit.

Key Highlights

• Technology ecosystem lists NVIDIA, AWS and CoreWeave as partners or platforms.

• The site shows a DRL AI Space opened in December 2025 at Kyiv Polytechnic Institute for education and joint research.

• Selected work entries include “Audio and motion for a pet wearable” and “Wine knowledge and cellar search.”

• The site explicitly invites partnership conversations and provides an email contact and a book-a-meeting option for research and co‑building projects.

Services

• ML platform engineering

• Inference optimization & deployment

• Retrieval and vector-search pipelines

• Agent orchestration & evaluation

Contact Information

Website: datarootlabs.com

Email: info@datarootlabs.com

Address: Kyiv, Ukraine — R&D office

6. Teamvoy

Teamvoy builds production-ready AI and modernizes legacy platforms from its Lviv, Ukraine headquarters and a U.S. office in Covina. The company lists LLMOps Consulting in its Build & Deliver services and publishes an AI-native tech stack that names models and agent frameworks used in production.

Buyers evaluating Teamvoy for MLOps should check the firm’s public tooling and runbook signals on the site, which include observability and safety tools and cloud runtimes. Start engagements using the site’s entry points: an AI & System Readiness Audit and a fixed Sharp Sprint to validate delivery cadence and production handover.

Key Highlights

• ISO 27001, SOC 2, PCI DSS, EU AI Act, HIPAA, and GDPR compliance are listed on the company site.

• Named clients on the site include Nasdaq, Panasonic Avionics, OSL, Iress, Afriland First Bank, and 150+ other companies.

• Fixed-scope offerings are documented: an AI & System Readiness Audit (3–5 days) and a Sharp Sprint (2 weeks) that delivers working software with senior engineers.

• The site displays verified client-review scores, including a 4.9/5 rating for B2B client reviews.

Services

• LLMOps Consulting

• AI Agent Development

• AI Integration

• Technology Modernization

Contact Information

Website: teamvoy.com

Email: contact@teamvoy.com

Address (Ukraine): 6 Akademika Bohomol’tsya, Lviv, 79005 Ukraine

7. Respeecher

Respeecher builds high-fidelity AI voice cloning and synthetic speech with proprietary deep learning models for film, TV, games, advertising, and branded audio. The company offers a live Real‑Time TTS API called Respeecher Space, a Voice Marketplace, and studio-focused white‑glove voice generation services.

The Respeecher site does not advertise MLOps consulting services explicitly. Buyers who need MLOps capabilities should inspect Respeecher’s production artifacts and team signals: the public Real‑Time TTS API and Pro Tools plugin, listed engineering roles that include DevOps and Deep Learning engineers, and the site’s ethics and security statements to evaluate operational model deployment and governance.

Key Highlights

• Founded in February 2018.
• Credited in December 2020 for recreating the voice of young Luke Skywalker in Disney+'s The Mandalorian.
• Awarded an Emmy in September 2021 for the Richard Nixon voice work on “In Event of Moon Disaster.”
• Accepted into the AWS Generative AI Accelerator in September 2024.

Services

• AI Voice Technology
• Respeecher Space (Real‑Time TTS API)
• Voice Marketplace
• Plugin for Avid Pro Tools

Contact Information

Website: www.respeecher.com

Email: info@respeecher.com

8. Uptech

Uptech Team is an international software development company with offices in Kyiv, Ukraine; Los Angeles, USA; and Tallinn, Estonia. The company’s site highlights embedding AI and machine learning into delivered products and showcases a Medical Image Processing System case study that reports a 30% reduction in diagnostic time.

The site does not present a dedicated MLOps or model-ops service page. Buyers seeking MLOps support should evaluate Uptech by reviewing the Medical Image Processing case study, inspecting the firm’s cloud and SaaS engineering capabilities, and asking for evidence of DevSecOps practices and production model deployments.

Key Highlights

• 200+ projects delivered successfully as stated on the company site.

• Ten years on the market with a global client base spanning eight countries.

• 4.9 review rating on Clutch listed on the site.

• Client roster shown on the site includes recognizable names such as GOAT and Unilever.

Services

• AI & ML

• Generative AI Development

• Cloud & SaaS Solutions

• Mobile App Development

Contact Information

Website: uptech.team

Phone: +1(617) 340-7298

Email: hello@uptech.team

9. Reface

Reface builds AI-native mobile applications that center on generative face-swap and avatar technology. The company presents a flagship Reface face-swap product and a portfolio of consumer AI apps that emphasize high-volume mobile distribution.

The site does not present an explicit MLOps consulting offering or a public MLOps/stack page. Buyers who want to assess Reface for model deployment, on-device inference, CI/CD for ML, monitoring, and model governance should request production pipeline diagrams, latency and scalability figures, and architecture details via the partnerships contact listed on the site.

Key Highlights

• Portfolio lists multiple consumer AI apps by name on the site, including Revive, Restyle, Ink AI, Bitepal, Lightly, Letsy, and Memomet.

• The site states that Reface products have been downloaded more than 300M times.

• The site hosts a public Digital Watermark Check tool at watermark.reface.ai.

• The site lists direct business contact emails for partnerships, press, and support.

Services

• AI mobile app development

• Rapid prototyping & validation

• AI product engineering

• Partnership co-development

Contact Information

Website: reface.ai

Email: partnerships@reface.ai

Email: press@reface.ai

10. inVerita

inVerita builds custom software and AI solutions with a focus on healthcare, medical, pharmacy, and supply chain customers. The company’s site lists AI/ML development, AI consulting, generative AI, and AI agent development and includes named case studies such as Patients Tree and Pixel that illustrate healthcare-focused platforms.

The website does not list a dedicated “MLOps” service or explicit model deployment pipelines by name. Buyers evaluating inVerita for MLOps work should probe the company’s adjacent capabilities that the site verifies, including AI Software Development Services, Cloud and DevOps offerings (AWS and Azure DevOps), and Snowflake and Databricks consulting to confirm model deployment, CI/CD for models, monitoring, and data-pipeline practices.

Key Highlights

• Staff of 120+ engineers listed on the company homepage.

• Offices and mailing addresses shown for Lviv, Ukraine; Sacramento, California (400 Capitol Mall Suite 900); and Regus Kraków, Poland.

• Cloud and DevOps category includes explicit AWS DevOps Services and Azure DevOps Services.

• Offers Snowflake consulting and Databricks consulting and development services under its Business Intelligence & Analytics area.

Services

• AI Software Development

• Cloud and DevOps

• Business Intelligence & Analytics

• Dedicated Software Development Team

Contact Information

Website: inveritasoft.com

Email: contactus@inveritasoft.com

Address: Lviv 102, Ivan Franko str, UKRAINE

11. Uinno

Uinno is a product development agency that builds AI-native web and mobile products for startups and growing businesses. The company’s site highlights specific AI work and case studies, including a Gatorade Coach Hub delivered in 1.5 months, a Computer Vision for Games product that auto-tracks gameplay, a fraud-detection project claiming 90%+ identification of fraudsters at registration, and a WCAG 2.1 AA component library built for the University of Melbourne.

Buyers evaluating MLOps partners should review Uinno’s case studies and portfolio to see how models moved from prototype to production and to verify production outcomes. The site presents portfolio detail, delivery options, and a contact flow buyers can use to request deployment architecture, monitoring and support details for ML systems.

Key Highlights

• Founded in 2019 and the site states the company has four startup exits.

• More than 250 clients worldwide and a 93% client retention rate on long-term projects.

• Certification badges shown on the site include TensorFlow Certified Developer, AWS Cloud Practitioner, Microsoft Azure Developer Associate, and a Machine Learning specialty credential.

• Site claims production outcomes such as stopping 80% of fraud for a platform with 250K daily signups and delivering the Gatorade Coach Hub in 1.5 months.

Services

• No-code solutions

• AI Workflow Automation

• Rapid AI Prototype

• Fractional CTO service

Contact Information

Website: uinno.io

Phone: +380 (99) 455 99 91

Email: contact@uinno.io

Address: Kingston upon Thames, 145 London Road, United Kingdom

12. Binary Studio

Binary Studio is a Ukraine-based product engineering firm that builds AI-powered and machine learning-enabled software for web and mobile products. The company’s Machine Learning Development Services pages list concrete capabilities including predictive analytics, image and video analysis, retrieval-augmented generation (RAG) knowledge engines, autonomous AI agents, and ChatGPT-powered assistants.

Buyers evaluating Binary Studio for MLOps should review the firm’s published ML project stages on the site—requirement analysis, data collection and preparation, model development and training, and ML implementation—and compare those stages with their own deployment, monitoring, and data pipelines. The website also lists core technology choices such as Python, Go, and Node.js and documents delivery options including team extension and dedicated team engagement, plus a talent pipeline through Binary Studio Academy that supplies trained engineers.

Key Highlights

• Quick project start: the site states machine learning projects can be initiated in 3–4 weeks.
• Delivery models: Binary Studio offers team extension and dedicated team engagement for ML work.
• Talent pipeline: the Binary Studio Academy funnels top candidates, with the site noting only about the top 0.5% of applicants are hired.
• Scale signals: the website cites 200+ delivered products and a 160+ tech specialist workforce.

Services

• Hire ML engineers
• AI implementation & integration
• Dedicated development teams

Contact Information

Website: binary-studio.com

Phone: +1 (877) 840-66-88; +44 (808) 175-66-88

Email: contact@binary-studio.com

Address: Lviv, Promyslova St, 50/52

LinkedIn: linkedin.com/company/binary-studio-software

13. Mobilunity

Mobilunity is a Ukraine-based nearshore technology firm that connects European and global clients with remote engineering talent. The company’s website lists Data / AI, ML, Data Science, DevOps, and cloud platforms such as AWS, Azure, and Google Cloud among the competencies it hires for.

The site does not publish MLOps-specific case studies or a named MLOps service, but it shows adjacent capabilities—data science and ML expertise plus DevOps and cloud experience—that buyers can vet for production model delivery. Buyers should request candidate CVs that demonstrate model deployment, CI/CD for ML, and production monitoring, and they should ask for recruitment timelines and technical interview outcomes to confirm hands-on MLOps capability.

Key Highlights

• Founded in 2010; site highlights 16+ years operating in the market.
• Mobilunity states it can launch new engineering teams in 3–6 weeks.
• The site reports 1,000+ tech experts hired for clients.
• Mobilunity cites 150+ successful projects across 30+ countries.

Services

• Dedicated Development Teams
• Staff Augmentation
• Technical Recruitment
• Tech Interview as a Service

Contact Information

Website: mobilunity.com

14. Geniusee

Geniusee is a Ukraine-headquartered software and AI engineering firm that offers MLOps and model-integration services for enterprise products. The company publishes AI and MLOps offerings alongside delivery hubs in Kyiv, Lviv, and Warsaw and a remote-work model on its site.

Buyers evaluating Geniusee for MLOps should review the company’s published case studies and the AI integration landing page to confirm model deployment, monitoring, and governance work. Also check their stated post-deployment support and full IP transfer policy, which are documented on the AI service pages.

Key Highlights

• Publicly lists MLOps platforms and orchestration tooling including MLflow, Databricks, AWS SageMaker, and Azure Machine Learning.

• Careers and service pages name experiment and tracking tools MLflow and Weights & Biases plus model CI/CD practices and deployment experience with vLLM, Triton, and quantization methods.

• Publishes an AI integration whitepaper and the site notes an internal workflow that saved up to 120 hr/month.

• Public materials call out industry experience across FinTech, EdTech, retail, monitoring, and manufacturing projects.

Services

• MLOps setup

• AI integration

• AI PoC & prototyping

• Model serving & monitoring

Contact Information

Website: geniusee.com

Phone: +1 512 333 1220

Email: info@geniusee.com

Address (Kyiv): BC Y4, Yaroslavs’kyi Lane 4, Kyiv 04071, Ukraine

LinkedIn: linkedin.com/company/geniusee

15. Leobit

Leobit is a Ukraine-founded software engineering firm with dedicated delivery centers in Ukraine and Poland and a representative office in Austin, Texas. The company advertises AI/ML and generative AI software development capabilities, Corporate LLM Development Services, an AI-native SDLC, forward-deployed AI engineers, and an Anthropic Claude partnership on its official site.

The site does not use the term “MLOps” explicitly, but Leobit publishes adjacent capabilities buyers can verify, including DevOps Services, cloud platform experience across Azure, AWS and GCP, live AI demos and PoCs, and case studies. Procurement teams evaluating Leobit for MLOps work should request a PoC that demonstrates model deployment, pipeline automation and runtime monitoring, and review architecture and cloud tooling choices listed on the vendor’s documentation.

Key Highlights

• Leobit is a Microsoft Solutions Partner with multiple certifications across the Microsoft ecosystem.

• The company holds ISO 9001:2015 and ISO 27001:2022 certifications.

• Leobit received a Gold Stevie Award in 2026.

• The firm has Clutch recognitions including Top .NET Development Companies and placement in the Top 1000 Companies list.

Services

• Custom Software Development

• Cloud Software Development

• Quality Assurance Services

• Software Architecture Design

Contact Information

Website: leobit.com

Email: sales@leobit.com

Phone: +38 (063) 90-33-806

Address: Stryiska Street 108, Lviv, Ukraine

LinkedIn: linkedin.com/company/leobit

16. Lemberg Solutions

Lemberg Solutions is a European tech consulting and engineering firm that advertises end-to-end Data & AI and AI development services and presents multiple machine-learning case studies on its site, including an AI-powered document-processing project for a German retailer and a computer-vision solution that speeds animal weighing by 24x.

Buyers evaluating MLOps capabilities can review Lemberg’s Data & AI and Edge AI pages for evidence of ML & DL model development, an Edge AI tech stack with full-cycle support from prototyping to mass-production, and an explicit statement that clients receive full ownership and IP rights to delivered products and source files.

Key Highlights

• Holds multiple management and industry certifications including ISO 27001:2022, ISO 9001:2015, ISO 13485:2016, and ISO 26262:2018.

• Listed as an AWS Advanced Tier Service Partner on its About page.

• Data Science Team Lead Volodymyr Andrushchak is named on the site and described as having a Ph.D. in Data Science.

• Publishes Edge AI case studies and states support for solution discovery through to mass-production, which is relevant for on-device model deployment and edge MLOps workflows.

Services

• ML & DL model development

• Edge AI development

• Predictive analytics & forecasting

• AI consulting

Contact Information

Website: lembergsolutions.com

Phone (Lviv / Lutsk / Rivne): +38 032 240 1111

Address (Lviv): 72 Heroiv UPA Street, building 1, office 238, Lviv, Lviv region 79018, Ukraine

LinkedIn: linkedin.com/company/lembergsolutions

Conclusion

SoftPro is the author-selected international partner listed first and is headquartered in Warsaw, Poland. For buyers evaluating MLOps consulting for projects in or tied to Ukraine, consider SoftPro as a cross-border option alongside local Ukrainian providers.

Focus your selection on practical MLOps criteria rather than brand alone. Prioritize demonstrable technical depth in production MLOps, including model lifecycle management, reproducible pipelines, and monitoring. Match the delivery model to your needs, whether nearshore teams for close collaboration, vendor-managed platforms for speed, or embedded engineering for long-term ownership. Confirm post-deployment maintenance arrangements with clear SLAs for monitoring, incident response, model updates, and drift management. Validate collaboration fit through relevant domain experience, data residency and regulatory practices, and solid references plus a concrete roadmap to production before committing to a partner.

Frequently asked questions

How much does hiring a Ukrainian MLOps consulting company usually cost?

Costs vary by project scope, team composition, and required deliverables. Ask for itemized proposals and compare time-and-materials versus fixed-price options. A detailed scoping call with vendors like SoftPro will produce the most accurate estimate.

How do I choose between SoftPro and larger firms like ELEKS or N-iX for MLOps work?

Compare technical depth, domain experience, delivery capacity, and communication style against your project needs. Choose a smaller or boutique team for agility and closer collaboration, or a larger firm for multi-discipline scale and long-term resourcing. Request case studies and client references to validate fit.

What is a realistic timeline for an MLOps engagement with a Ukrainian consultancy?

Timelines depend on model maturity, data quality, and integration complexity. Small discovery and MVP phases can take several weeks, while productionizing models and embedding CI/CD typically takes a few months. Build time for iterative validation, data engineering, and operational handover into any plan.

When should I hire a Ukrainian MLOps vendor instead of building an in-house team?

Outsource when you need accelerated delivery, lack senior MLOps expertise, or prefer cost-effective access to experienced engineers. Engage a vendor for short-term pilots, platform buildouts, or when you want to validate an approach before hiring full-time staff. Plan knowledge transfer so internal teams can take over operations later if desired.

What are the main risks of outsourcing MLOps to Ukrainian consultancies and how can I mitigate them?

Key risks include IP and data security, continuity of support, and insufficient knowledge transfer. Mitigate by using clear contracts and NDAs, defining SLAs and maintenance windows, requiring code and documentation handovers, and checking client references. Include staged milestones and overlap periods to ensure operational continuity.