Oxagile vs Ekimetrics: full comparison for 2026
Last updated: July 2026
Quick verdict
Oxagile (4.0/5) edges ahead of Ekimetrics (3.8/5) overall. Oxagile is the better choice for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems. Ekimetrics is the stronger option for cPG, retail, and media brands needing marketing mix modelling, causal analytics, and econometric decision intelligence. The right choice depends on your project size, budget, and required tech stack.
Oxagile vs Ekimetrics: head-to-head summary
| Criterion | Oxagile | Ekimetrics |
|---|---|---|
| Founded | 2005 | 2006 |
| HQ | Minsk, Belarus / Warsaw, Poland | Paris, France |
| Team size | 400+ | 500+ |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Best for | Media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems | CPG, retail, and media brands needing marketing mix modelling, causal analytics, and econometric decision intelligence |
| Pricing model | Fixed project, T&M, Dedicated team | Retainer, T&M |
| Min. engagement | $25K | $50K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, R, AWS |
| Industries served | Media / Entertainment, Healthcare, Manufacturing, Technology / SaaS, Logistics | Consumer Packaged Goods, Retail / E-commerce, Financial Services, Media / Entertainment, Technology / SaaS |
Oxagile vs Ekimetrics: overview
Oxagile
Oxagile was founded in 2005 and operates with primary delivery centres in Minsk, Belarus, and Warsaw, Poland, employing 400+ professionals. The company's AI practice centres on computer vision, LLM integration, ML-supported content analysis, and video processing — capabilities that stem from its long heritage in media technology and video infrastructure for broadcasters and OTT platforms. Oxagile's computer vision work spans automated content moderation for media companies, visual quality inspection for manufacturing, and AI-assisted diagnostics for healthcare, making it one of the more vertically diverse computer vision specialists in this review.
Ekimetrics
Ekimetrics is a data science and analytics consulting firm founded in 2006 and headquartered in Paris, France, with over 500 professionals across Europe, the US, and Asia. It specialises in marketing mix modelling, econometrics, AI-driven decision intelligence, and advanced analytics for CPG/FMCG, retail, media, and financial services clients. Ekimetrics combines statistical rigour with ML tooling — its modelling work tends toward econometric validity and causal inference rather than pure predictive ML, making it particularly strong for clients whose primary question is "why" as much as "what." It is among the better-known European independent analytics and ML consultancies for brand and marketing-led organisations.
Services and capabilities: Oxagile vs Ekimetrics
| Capability | Oxagile | Ekimetrics |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Deep learning | ✗ | ✗ |
| NLP / Text analytics | ✓ | ✗ |
| Computer vision | ✓ | ✗ |
| MLOps & deployment | ✓ | ✗ |
| Generative AI | ✓ | ✗ |
| AI strategy | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✗ |
Tech stack comparison: Oxagile vs Ekimetrics
| Framework / platform | Oxagile | Ekimetrics |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
| Databricks | N/A | ✓ |
| MLflow | N/A | N/A |
Pricing comparison: Oxagile vs Ekimetrics
| Criterion | Oxagile | Ekimetrics |
|---|---|---|
| Minimum engagement | $25K | $50K |
| Engagement models | Fixed project, Time & materials, Dedicated team | Retainer, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Oxagile vs Ekimetrics
| Dimension | Oxagile | Ekimetrics |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Media / Entertainment, Healthcare, Manufacturing | Consumer Packaged Goods, Retail / E-commerce, Financial Services |
| Best use cases | Automated video content moderation and compliance tagging for OTT and broadcast platforms, Computer vision quality inspection systems for manufacturing production lines | Marketing mix modelling and media budget attribution for CPG and FMCG brands, Causal ML analysis of promotional effectiveness and price elasticity for retail clients |
| Typical project type | Fixed project | Retainer |
Oxagile vs Ekimetrics: pros and cons
| Oxagile | |
|---|---|
| + | 20-year computer vision heritage provides production-grade depth in a capability most generalists offer only superficially |
| + | Video AI and content analysis capability is particularly strong — directly transferable to media and broadcast clients |
| + | Dual delivery centre model (Minsk + Warsaw) provides redundancy and EU data processing alignment via Warsaw |
| + | Full project lifecycle from CV prototype through production deployment and monitoring |
| + | Competitive rates relative to Western European firms of equivalent computer vision depth |
| - | Minsk-based delivery introduces political and banking risk for some Western European and North American clients |
| - | Core strength is computer vision and media AI; pure NLP or tabular ML projects may receive less specialised teams |
| - | Less established for cloud-native MLOps and generative AI relative to newer AI-native firms |
| Ekimetrics | |
|---|---|
| + | Marketing mix modelling and econometrics capability is among the strongest of any ML agency reviewed here |
| + | Causal inference and explainability focus produces ML insights that are interpretable and defensible to senior stakeholders |
| + | European presence with US and Asian offices provides multi-market analytics capability for global brands |
| + | 20 years of data science experience provides methodological rigour on complex measurement challenges |
| - | Less suitable for operational ML, deep learning, or computer vision — Ekimetrics' strength is measurement and analytics, not AI engineering |
| - | Econometric modelling pace can be slower than predictive ML boutiques for time-sensitive forecasting projects |
| - | Less established for MLOps, model deployment, or production ML infrastructure |
Who should choose Oxagile?
Oxagile is the right choice for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems.
20-year heritage in video technology and media AI translates directly into best-in-class computer vision delivery for media, broadcast, and content platforms. Minimum engagement starts at $25K. Works best with clients in Media / Entertainment, Healthcare, Manufacturing, Technology / SaaS, Logistics.
Who should choose Ekimetrics?
Ekimetrics is the right choice for cPG, retail, and media brands needing marketing mix modelling, causal analytics, and econometric decision intelligence.
Econometric and causal ML focus delivers explainable business-driver insights rather than black-box predictions — strongest for marketing analytics and brand measurement. Minimum engagement starts at $50K. Works best with clients in Consumer Packaged Goods, Retail / E-commerce, Financial Services, Media / Entertainment, Technology / SaaS.
Decision matrix: Oxagile vs Ekimetrics
| 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 Ekimetrics
| Use case | Oxagile fit | Ekimetrics fit | Winner |
|---|---|---|---|
| Automated video content moderation and compliance tagging for OTT and broadcast platforms | Strong | Limited | Oxagile |
| Computer vision quality inspection systems for manufacturing production lines | Strong | Limited | Oxagile |
| Marketing mix modelling and media budget attribution for CPG and FMCG brands | Limited | Strong | Ekimetrics |
| Causal ML analysis of promotional effectiveness and price elasticity for retail clients | Limited | Strong | Ekimetrics |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Oxagile vs Ekimetrics
Oxagile (4.0/5) is the stronger overall choice for most Machine Learning projects. 20-year heritage in video technology and media AI translates directly into best-in-class computer vision delivery for media, broadcast, and content platforms. It is best for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems.
Ekimetrics (3.8/5) is the better choice when cPG, retail, and media brands needing marketing mix modelling, causal analytics, and econometric decision intelligence. If your situation matches those criteria, Ekimetrics is a competitive option.
Related comparisons
Oxagile vs Ekimetrics FAQ
Is Oxagile better than Ekimetrics?
Oxagile (4.0/5) scores higher overall, but "better" depends on your use case. Oxagile is better for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems. Ekimetrics is better for cPG, retail, and media brands needing marketing mix modelling, causal analytics, and econometric decision intelligence.
How do Oxagile and Ekimetrics differ in pricing?
Oxagile uses fixed project, t&m, dedicated team pricing with a minimum engagement of $25K. Ekimetrics uses retainer, t&m pricing with a minimum engagement of $50K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Oxagile or Ekimetrics?
Ekimetrics is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Oxagile and Ekimetrics?
Oxagile's primary differentiator is: 20-year heritage in video technology and media ai translates directly into best-in-class computer vision delivery for media, broadcast, and content platforms. Ekimetrics's primary differentiator is: econometric and causal ml focus delivers explainable business-driver insights rather than black-box predictions — strongest for marketing analytics and brand measurement. They also differ in team size (400+ vs 500+), minimum engagement ($25K vs $50K), and primary industries served (Media / Entertainment, Healthcare vs Consumer Packaged Goods, Retail / E-commerce).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.