Top Machine Learning Development Companies

Oxagile vs Ciklum: full comparison for 2026

Last updated: July 2026

Quick verdict

Oxagile (4.2/5) edges ahead of Ciklum (4.1/5) overall. Oxagile is the better choice for enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality. Ciklum is the stronger option for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery. The right choice depends on your project size, budget, and required tech stack.

Oxagile vs Ciklum: head-to-head summary

Criterion Oxagile Ciklum
Founded 2005 2002
HQ Minsk, Belarus London, UK
Team size 250–999 3,000+
Rating 4.2 / 5 4.1 / 5
Best for Enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality Digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery
Pricing model Fixed project, T&M, dedicated team Dedicated team, T&M, fixed project
Min. engagement $20K $75K
Primary tech stack Python, TensorFlow, OpenCV Python, TensorFlow, PyTorch
Industries served Healthcare & Life Sciences, Media & Entertainment, Financial Services, Manufacturing & Industrial, Retail & E-commerce Financial Services, Retail & E-commerce, Healthcare & Life Sciences, Media & Entertainment, SaaS & Technology

Oxagile vs Ciklum: overview

Oxagile

Oxagile is a software and AI development company founded in 2005 and headquartered in Minsk, Belarus, with 250–999 employees. The firm offers AI software development services with a focus on data-driven solutions for digital transformation. Oxagile is recognised for connected care AI in healthcare, computer vision in media and retail, and custom ML systems for enterprise clients across multiple verticals.

Ciklum

Ciklum is an AI-powered experience engineering company founded in 2002 and headquartered in London, UK, with 3,000+ engineers across 19 global locations. The firm brings 25+ years of product and AI excellence to FinTech, Retail, Healthcare, and Hi-Tech — from foundational AI and agentic automation to accelerated software engineering. Ciklum reports 25+ AI products already in production and 10+ years of AI expertise, and serves enterprise clients globally.

Services and capabilities: Oxagile vs Ciklum

Capability Oxagile Ciklum
Custom ML development
Computer vision
NLP & LLMs
MLOps & deployment
Generative AI
Staff augmentation

Tech stack comparison: Oxagile vs Ciklum

Framework / platform Oxagile Ciklum
TensorFlow
PyTorch N/A
AWS SageMaker N/A N/A
Azure ML N/A N/A
Vertex AI N/A N/A
Scikit-learn N/A
Hugging Face N/A N/A
Apache Spark N/A
Kubernetes N/A
MLflow N/A N/A

Pricing comparison: Oxagile vs Ciklum

Criterion Oxagile Ciklum
Minimum engagement $20K $75K
Engagement models Fixed project, Time & materials, Dedicated team Dedicated team, Time & materials, Fixed project
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: Oxagile vs Ciklum

Dimension Oxagile Ciklum
Best company size Startup to mid-market Startup to mid-market
Best industries Healthcare & Life Sciences, Media & Entertainment, Financial Services Financial Services, Retail & E-commerce, Healthcare & Life Sciences
Best use cases Connected care AI for remote patient monitoring and telemedicine platform, Computer vision content moderation system for media streaming service Enterprise FinTech AI product build with agentic automation and fraud detection ML, Retail personalisation AI platform with product recommendation and pricing optimisation
Typical project type Fixed project Dedicated team

Oxagile vs Ciklum: pros and cons

Oxagile
+ Competitive rates — 40–60% lower than US equivalents at comparable engineering quality
+ Connected care and healthcare imaging AI track record with PACS integration experience
+ Lower $20K minimum makes specialist ML accessible for budget-conscious projects
+ Computer vision depth in both media and industrial inspection use cases
+ Flexible three-model engagement covers fixed scope through long-term dedicated teams
- Belarus-based delivery carries geopolitical risk and potential regulatory complications for some enterprises
- Less generative AI and LLM depth than firms with more recent AI-native practices
- Brand visibility lower than US-headquartered peers in North American procurement processes
Ciklum
+ 25+ AI products verified in production — strong proof of delivery, not just design
+ Global 19-location delivery network for enterprise programmes requiring regional presence
+ FinTech, Retail, and Healthcare vertical depth with domain-specific ML capabilities
+ Agentic AI and automation practice alongside core ML development
+ London HQ provides natural alignment with GDPR and EU AI regulatory frameworks
- $75K minimum limits accessibility for smaller ML projects
- Large-firm delivery model — less agile and responsive than boutiques for fast-iteration work
- Ukraine and Eastern Europe delivery mix carries geopolitical risk for some enterprise procurement teams

Who should choose Oxagile?

Oxagile is the right choice for enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality.

Strong connected-care and healthcare AI track record combined with 40–60% cost advantage versus US equivalents. Minimum engagement starts at $20K. Works best with clients in Healthcare & Life Sciences, Media & Entertainment, Financial Services, Manufacturing & Industrial, Retail & E-commerce.

Who should choose Ciklum?

Ciklum is the right choice for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery.

25+ AI products in production combined with 3,000+ global engineers — enterprise AI scale without the big-four overhead. Minimum engagement starts at $75K. Works best with clients in Financial Services, Retail & E-commerce, Healthcare & Life Sciences, Media & Entertainment, SaaS & Technology.

Decision matrix: Oxagile vs Ciklum

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Oxagile
You need a large dedicated team for an ongoing programme Oxagile
Your budget is at the lower end Oxagile
You need specialist depth in a specific vertical Oxagile
You need staff augmentation or team extension Ciklum
You need consulting before committing to a build Both may offer discovery engagements

Use case fit: Oxagile vs Ciklum

Use case Oxagile fit Ciklum fit Winner
Connected care AI for remote patient monitoring and telemedicine platform Strong Limited Oxagile
Computer vision content moderation system for media streaming service Strong Limited Oxagile
Enterprise FinTech AI product build with agentic automation and fraud detection ML Limited Strong Ciklum
Retail personalisation AI platform with product recommendation and pricing optimisation Strong Strong Both equally
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Strong Ciklum

Verdict: Oxagile vs Ciklum

Oxagile (4.2/5) is the stronger overall choice for most Machine Learning Development projects. Strong connected-care and healthcare AI track record combined with 40–60% cost advantage versus US equivalents. It is best for enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality.

Ciklum (4.1/5) is the better choice when digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery. If your situation matches those criteria, Ciklum is a competitive option.

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Oxagile vs Ciklum FAQ

Is Oxagile better than Ciklum?

Oxagile (4.2/5) scores higher overall, but "better" depends on your use case. Oxagile is better for enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality. Ciklum is better for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery.

How do Oxagile and Ciklum differ in pricing?

Oxagile uses fixed project, t&m, dedicated team pricing with a minimum engagement of $20K. Ciklum uses dedicated team, t&m, fixed project pricing with a minimum engagement of $75K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Oxagile or Ciklum?

Oxagile is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.

What are the main differences between Oxagile and Ciklum?

Oxagile's primary differentiator is: strong connected-care and healthcare ai track record combined with 40–60% cost advantage versus us equivalents. Ciklum's primary differentiator is: 25+ ai products in production combined with 3,000+ global engineers — enterprise ai scale without the big-four overhead. They also differ in team size (250–999 vs 3,000+), minimum engagement ($20K vs $75K), and primary industries served (Healthcare & Life Sciences, Media & Entertainment vs Financial Services, Retail & E-commerce).

Last reviewed: July 2026. Verify all details directly with each company before making a decision.