Binariks
Ukraine-based AI and ML engineering firm covering cloud, IoT, and data science with full-lifecycle support.
What is Binariks?
Binariks is a software development company headquartered in Khmelnytskyi, Ukraine, founded in 2014. The company specialises in AI/ML engineering, cloud computing (AWS, GCP, Azure), IoT integration, and data science. Binariks supports clients through every stage of AI implementation: from consulting and solution architecture through deployment and ongoing maintenance. (Founding year and service focus per Binariks official website.)
Binariks was founded in 2014 and is headquartered in Khmelnytskyi, Ukraine. The firm employs 100–200 people and works primarily with clients in saas, healthcare, manufacturing, logistics, fintech sectors. Its primary differentiator is: Multi-cloud and IoT-integrated ML delivery — AWS, GCP, and Azure with IoT sensor data pipelines.
Binariks tech stack and services
| Service area | Details |
|---|---|
| IoT sensor data ML pipeline | Available for saas, healthcare, manufacturing, logistics, fintech clients |
| Multi-cloud AI deployment | Available for saas, healthcare, manufacturing, logistics, fintech clients |
| ML model for manufacturing quality control | Available for saas, healthcare, manufacturing, logistics, fintech clients |
| Predictive analytics for logistics | Available for saas, healthcare, manufacturing, logistics, fintech clients |
| Custom AI feature for SaaS platform | Available for saas, healthcare, manufacturing, logistics, fintech clients |
Binariks use cases
Short answer: Binariks is best suited for companies seeking cost-effective AI and ML engineering with cloud and IoT integration from an Eastern European partner.
| Use case | Industries | Approach |
|---|---|---|
| IoT sensor data ML pipeline | saas, healthcare | Python, AWS |
| Multi-cloud AI deployment | saas, healthcare | Python, AWS |
| ML model for manufacturing quality control | saas, healthcare | Python, AWS |
| Predictive analytics for logistics | saas, healthcare | Python, AWS |
| Custom AI feature for SaaS platform | saas, healthcare | Python, AWS |
Binariks pricing
Short answer: Binariks uses a fixed project, t&m pricing approach. Minimum engagement starts at $15K+.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $15K+ | Well-defined scope |
| T&M | Variable; depends on team size | Large programmes or team augmentation |
Binariks pros and cons
| Advantages | Things to consider |
|---|---|
| +Multi-cloud coverage: AWS, GCP, and Azure all in scope | -Ukraine-based delivery carries geographic risk considerations for some clients |
| +IoT and ML integration capability — rare combination | -Less well-known than larger Eastern European firms — fewer public case studies |
| +Cost-effective Eastern European engineering rates | |
| +Full-lifecycle AI: from consulting through deployment and maintenance |
Binariks vs alternatives
How Binariks compares to the other top Machine Learning agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market teams needing custom ML builds with full... | Full-lifecycle ML ownership — model design, training infrastructure, and drift monitoring in one team | 4.8 | Full comparison |
| InData Labs | Fintech, healthcare, and SaaS companies needing production-grade ML... | Deep ML and GenAI specialist with 10+ years of production deployments across regulated industries | 4.6 | Full comparison |
| Artefact | Large enterprises and major consumer brands seeking industrial-scale... | Enterprise ML at 1,500-consultant scale across 26 countries — strategy, deployment, and AI factory in one firm | 4.5 | Full comparison |
| N-iX | Enterprise teams needing multidisciplinary ML and cloud engineering... | 2,400+ engineers covering ML, cloud, and data under one firm — strong for large multi-track programmes | 4.4 | Full comparison |
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| Keyrus | International enterprises seeking a global data and AI... | From experimental AI to industrial AI — consulting group specialising in productionising ML for large organisations | 3.8 | Full comparison |
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| Turing | Companies needing rapid access to vetted ML engineers... | AI-vetted 4M+ developer network — fastest route to pre-screened ML talent for staff augmentation | 3.8 | Full comparison |
| Acropolium | SaaS companies and mid-market startups needing ML features... | 22 years of bespoke product engineering — ML as a product feature, not a standalone model delivery | 3.8 | Full comparison |
| Kanda Software | Healthcare, pharma, and life sciences companies needing compliance-aware... | Regulatory-domain ML specialist — AI for pharma and healthcare with compliance and IP ownership built in | 3.7 | Full comparison |
| Centric Consulting | US mid-to-large enterprises needing ML consulting integrated within... | Business-outcome ML consulting — AI within management transformation, not pure technology delivery | 3.7 | Full comparison |
| Space-O Technologies | Startups and SMBs seeking accessible, cost-effective ML development... | Budget-accessible ML for startups — low minimum engagement with India-based rate advantage | 3.7 | Full comparison |
| Modak | Large enterprises needing AI-driven data modernisation to prepare... | ML-powered data engineering — uses ML itself to accelerate data prep and modernisation at enterprise scale | 3.7 | Full comparison |
Binariks FAQ
What is Binariks?
Binariks is a software development company headquartered in Khmelnytskyi, Ukraine, founded in 2014. The company specialises in AI/ML engineering, cloud computing (AWS, GCP, Azure), IoT integration, and data science. Binariks supports clients through every stage of AI implementation: from consulting and solution architecture through deployment and ongoing maintenance. (Founding year and service focus per Binariks official website.)
How much does Binariks charge?
Binariks uses fixed project, t&m pricing. Minimum engagement starts at $15K+. A discovery call is required to get project-specific quotes.
What tech stack does Binariks use?
Binariks works with Python, AWS, GCP, Azure, TensorFlow, scikit-learn, IoT platforms. Primary industries served include saas, healthcare, manufacturing, logistics, fintech.
Is Binariks right for enterprise?
Companies seeking cost-effective AI and ML engineering with cloud and IoT integration from an Eastern European partner. 100–200 team size. Key consideration: Ukraine-based delivery carries geographic risk considerations for some clients.
What are the best Binariks alternatives?
The best alternatives to Binariks depend on your use case. Top options are:
- Tensorway: full-lifecycle ml ownership — model design, training infrastructure, and drift monitoring in one team
- InData Labs: deep ml and genai specialist with 10+ years of production deployments across regulated industries
- Artefact: enterprise ml at 1,500-consultant scale across 26 countries — strategy, deployment, and ai factory in one firm
Compare Binariks with other Machine Learning agencies
Last reviewed: July 2026. Verify all details directly with Binariks before making a decision.