Oxagile vs Ciklum: full comparison for 2026
Last updated: July 2026
Quick verdict
Oxagile (3.8/5) edges ahead of Ciklum (3.6/5) overall. Oxagile is the better choice for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems. Ciklum is the stronger option for global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus. 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 | New York, NY, USA / Minsk, Belarus | London, UK |
| Team size | 400–600 | 4,000+ |
| Rating | 3.8 / 5 | 3.6 / 5 |
| Best for | Media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems | Global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus |
| Pricing model | Fixed project, dedicated team, T&M | Dedicated team, T&M |
| Min. engagement | $25K | $100K |
| Primary tech stack | Python, TensorFlow, OpenCV | Python, LangChain, OpenAI API |
| Industries served | E-commerce, Healthcare, Manufacturing, Logistics, SaaS | Fintech, Healthcare, E-commerce, SaaS, Logistics |
Oxagile vs Ciklum: overview
Oxagile
Oxagile is a custom software development firm founded in 2005 with offices in New York and Minsk, Belarus, specialising in video domain AI, AdTech, business intelligence, and educational technology. The firm's machine learning practice focuses on object recognition, video analytics, and AI-powered media solutions, drawing on over 20 years of video technology delivery. Oxagile's ML engineering team works with clients in sports, media, advertising, and education to deliver production-grade AI features integrated into video platforms. The firm employs 400+ engineers.
Ciklum
Ciklum is a global Experience Engineering firm headquartered in London, UK, founded in 2002, with 4,000+ employees serving 250+ global enterprise clients. The company acquired GoSolve Group in 2025, adding cloud-native development and high-performance computing capability. Ciklum's AI services include generative AI development, ML integration into digital products, and AI-powered SDLC acceleration. The firm delivers next-generation product engineering and AI-powered customer experiences for large enterprises and digital disruptors.
Services and capabilities: Oxagile vs Ciklum
| Capability | Oxagile | Ciklum |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP & text analytics | ✓ | ✓ |
| MLOps & deployment | ✗ | ✓ |
| Generative AI | ✗ | ✓ |
| ML consulting & strategy | ✗ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Oxagile vs Ciklum
| Framework / platform | Oxagile | Ciklum |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | ✓ | N/A |
| Scikit-learn | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| MLflow | N/A | ✓ |
| Hugging Face | N/A | N/A |
| LangChain | N/A | ✓ |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | ✓ |
Pricing comparison: Oxagile vs Ciklum
| Criterion | Oxagile | Ciklum |
|---|---|---|
| Minimum engagement | $25K | $100K |
| Engagement models | Fixed project, Dedicated team, Time & materials | Dedicated team, Time & materials, Consulting retainer |
| 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 | E-commerce, Healthcare, Manufacturing | Fintech, Healthcare, E-commerce |
| Best use cases | Object recognition systems for sports highlight clip generation, Video analytics for media consumption behaviour and content performance | Generative AI features integrated into large enterprise digital products, ML-powered personalisation for consumer-facing applications at scale |
| Typical project type | Fixed project | Dedicated team |
Oxagile vs Ciklum: pros and cons
| Oxagile | |
|---|---|
| + | 20+ years of video technology expertise — stronger than most for video-domain ML use cases |
| + | Strong computer vision and object recognition delivery across named media and sports clients |
| + | 400+ engineers provide staffing capacity for medium-to-large concurrent projects |
| + | US-based New York presence for North American client engagement in business hours |
| + | Documented AdTech ML applications including ad relevance and fraud detection models |
| - | Primary strength is video and media ML — less suited to non-video ML use cases |
| - | Belarus-based delivery requires business continuity planning for long-term engagements |
| - | Less documented coverage of modern LLM and generative AI than newer competitors |
| Ciklum | |
|---|---|
| + | 4,000+ employees serving 250+ enterprises demonstrates delivery scale and breadth |
| + | Generative AI services alongside traditional ML within product engineering |
| + | GoSolve acquisition (2025) adds cloud-native and high-performance computing depth |
| + | London HQ provides EU and UK enterprise relationship management |
| + | Experience Engineering focus connects ML outcomes to user-facing product features |
| - | $100K minimum engagement limits access for smaller and mid-market companies |
| - | AI is part of a broader service offering — not an ML-first or AI-specialist firm |
| - | Less publicly documented in pure ML model research than boutique ML competitors |
Who should choose Oxagile?
Oxagile is the right choice for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems.
20-year video technology specialist with strong computer vision and video analytics ML capability for media, sports, and AdTech clients. Minimum engagement starts at $25K. Works best with clients in E-commerce, Healthcare, Manufacturing, Logistics, SaaS.
Who should choose Ciklum?
Ciklum is the right choice for global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus.
4,000-person Experience Engineering firm with 250+ enterprise clients and generative AI delivery integrated into large product programmes. Minimum engagement starts at $100K. Works best with clients in Fintech, Healthcare, E-commerce, SaaS, Logistics.
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 | Neither; consider alternatives that offer staff aug |
| 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 |
|---|---|---|---|
| Object recognition systems for sports highlight clip generation | Strong | Limited | Oxagile |
| Video analytics for media consumption behaviour and content performance | Strong | Limited | Oxagile |
| Generative AI features integrated into large enterprise digital products | Limited | Strong | Ciklum |
| ML-powered personalisation for consumer-facing applications at scale | Limited | Strong | Ciklum |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Oxagile vs Ciklum
Oxagile (3.8/5) is the stronger overall choice for most Machine Learning Development projects. 20-year video technology specialist with strong computer vision and video analytics ML capability for media, sports, and AdTech clients. It is best for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems.
Ciklum (3.6/5) is the better choice when global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus. If your situation matches those criteria, Ciklum is a competitive option.
Related comparisons
Oxagile vs Ciklum FAQ
Is Oxagile better than Ciklum?
Oxagile (3.8/5) scores higher overall, but "better" depends on your use case. Oxagile is better for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems. Ciklum is better for global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus.
How do Oxagile and Ciklum differ in pricing?
Oxagile uses fixed project, dedicated team, t&m pricing with a minimum engagement of $25K. Ciklum uses dedicated team, t&m pricing with a minimum engagement of $100K. 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: 20-year video technology specialist with strong computer vision and video analytics ml capability for media, sports, and adtech clients. Ciklum's primary differentiator is: 4,000-person experience engineering firm with 250+ enterprise clients and generative ai delivery integrated into large product programmes. They also differ in team size (400–600 vs 4,000+), minimum engagement ($25K vs $100K), and primary industries served (E-commerce, Healthcare vs Fintech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.