Addepto vs Ekimetrics: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (3.9/5) edges ahead of Ekimetrics (3.8/5) overall. Addepto is the better choice for manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience. 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.
Addepto vs Ekimetrics: head-to-head summary
| Criterion | Addepto | Ekimetrics |
|---|---|---|
| Founded | 2017 | 2006 |
| HQ | Warsaw, Poland | Paris, France |
| Team size | 50–100 | 500+ |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Best for | Manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience | CPG, retail, and media brands needing marketing mix modelling, causal analytics, and econometric decision intelligence |
| Pricing model | Fixed project, T&M | Retainer, T&M |
| Min. engagement | $15K | $50K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, R, AWS |
| Industries served | Manufacturing, Retail / E-commerce, Financial Services, Logistics | Consumer Packaged Goods, Retail / E-commerce, Financial Services, Media / Entertainment, Technology / SaaS |
Addepto vs Ekimetrics: overview
Addepto
Addepto is a machine learning and AI consultancy established in 2017 and headquartered in Warsaw, Poland, with approximately 52 employees. Despite its small size, Addepto has built a focused portfolio in manufacturing predictive maintenance, logistics AI, and retail recommendation engines, delivering scalable ML solutions that align with the specific data patterns and operational constraints of each vertical. The firm's notable projects include predictive maintenance implementations for manufacturing clients, logistics optimisation using AI-driven analysis, and recommendation engines for retail. Addepto is one of the more accessible boutiques by team size and minimum engagement, suitable for companies requiring a specialised ML partner without enterprise-level overhead.
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: Addepto vs Ekimetrics
| Capability | Addepto | 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: Addepto vs Ekimetrics
| Framework / platform | Addepto | Ekimetrics |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
| Databricks | N/A | ✓ |
| MLflow | ✓ | N/A |
Pricing comparison: Addepto vs Ekimetrics
| Criterion | Addepto | Ekimetrics |
|---|---|---|
| Minimum engagement | $15K | $50K |
| Engagement models | Fixed project, Time & materials | Retainer, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Addepto vs Ekimetrics
| Dimension | Addepto | Ekimetrics |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Retail / E-commerce, Financial Services | Consumer Packaged Goods, Retail / E-commerce, Financial Services |
| Best use cases | Predictive maintenance ML for manufacturing equipment with IoT sensor data integration, Recommendation engine development for e-commerce and retail personalisation platforms | 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 |
Addepto vs Ekimetrics: pros and cons
| Addepto | |
|---|---|
| + | Focused manufacturing and retail portfolio reduces onboarding time on predictive maintenance and recommendation system projects |
| + | Small team ensures senior practitioner involvement throughout the engagement rather than junior staffing after kickoff |
| + | Competitive Warsaw-based rates are well below US boutiques of equivalent vertical ML depth |
| + | Accessible $15K minimum allows SMEs to engage professional ML delivery without enterprise investment levels |
| - | Team of ~52 strictly limits concurrent capacity — unsuitable for clients needing multiple simultaneous ML tracks |
| - | Founded 2017 — shorter track record than established competitors for high-stakes procurement decisions |
| - | Narrow vertical focus means less applicable experience for clients in healthcare, financial services, or media |
| - | Less infrastructure in generative AI, agentic systems, or large-scale MLOps compared to larger 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 Addepto?
Addepto is the right choice for manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience.
Focused vertical expertise in manufacturing predictive maintenance and retail AI at boutique scale — avoids the generalist overhead of larger firms for targeted use cases. Minimum engagement starts at $15K. Works best with clients in Manufacturing, Retail / E-commerce, Financial Services, 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: Addepto vs Ekimetrics
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Addepto |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Addepto |
| You need specialist depth in a specific vertical | Ekimetrics |
| 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: Addepto vs Ekimetrics
| Use case | Addepto fit | Ekimetrics fit | Winner |
|---|---|---|---|
| Predictive maintenance ML for manufacturing equipment with IoT sensor data integration | Strong | Limited | Addepto |
| Recommendation engine development for e-commerce and retail personalisation platforms | Strong | Limited | Addepto |
| 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: Addepto vs Ekimetrics
Addepto (3.9/5) is the stronger overall choice for most Machine Learning projects. Focused vertical expertise in manufacturing predictive maintenance and retail AI at boutique scale — avoids the generalist overhead of larger firms for targeted use cases. It is best for manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience.
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
Addepto vs Ekimetrics FAQ
Is Addepto better than Ekimetrics?
Addepto (3.9/5) scores higher overall, but "better" depends on your use case. Addepto is better for manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience. Ekimetrics is better for cPG, retail, and media brands needing marketing mix modelling, causal analytics, and econometric decision intelligence.
How do Addepto and Ekimetrics differ in pricing?
Addepto uses fixed project, t&m pricing with a minimum engagement of $15K. 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: Addepto or Ekimetrics?
Addepto 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 Addepto and Ekimetrics?
Addepto's primary differentiator is: focused vertical expertise in manufacturing predictive maintenance and retail ai at boutique scale — avoids the generalist overhead of larger firms for targeted use cases. 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 (50–100 vs 500+), minimum engagement ($15K vs $50K), and primary industries served (Manufacturing, Retail / E-commerce vs Consumer Packaged Goods, Retail / E-commerce).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.