Addepto vs Binariks: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (3.9/5) edges ahead of Binariks (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. Binariks is the stronger option for healthcare, SaaS, and fintech product teams needing accessible ML engineering from a small focused team. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Binariks: head-to-head summary
| Criterion | Addepto | Binariks |
|---|---|---|
| Founded | 2017 | 2014 |
| HQ | Warsaw, Poland | Lviv, Ukraine |
| Team size | 50–100 | 150+ |
| 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 | Healthcare, SaaS, and fintech product teams needing accessible ML engineering from a small focused team |
| Pricing model | Fixed project, T&M | Fixed project, T&M, Dedicated team |
| Min. engagement | $15K | $15K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, AWS |
| Industries served | Manufacturing, Retail / E-commerce, Financial Services, Logistics | Healthcare, Technology / SaaS, Financial Services / Fintech, Logistics |
Addepto vs Binariks: 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.
Binariks
Binariks is a software development and ML company founded in 2014 and headquartered in Lviv, Ukraine, with over 150 professionals. Its AI practice focuses on custom ML model development, NLP, predictive analytics, and data engineering, with a product engineering bias toward healthcare, SaaS, and fintech. Binariks positions itself at the accessible end of the professional ML agency market — delivering quality production ML without enterprise-level overhead. The firm maintains a transparent company blog documenting its top AI consulting firms list and technical viewpoints, indicating above-average market awareness for a boutique of its size.
Services and capabilities: Addepto vs Binariks
| Capability | Addepto | Binariks |
|---|---|---|
| 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 Binariks
| Framework / platform | Addepto | Binariks |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
| Databricks | N/A | N/A |
| MLflow | ✓ | N/A |
Pricing comparison: Addepto vs Binariks
| Criterion | Addepto | Binariks |
|---|---|---|
| Minimum engagement | $15K | $15K |
| Engagement models | Fixed project, Time & materials | Fixed project, Time & materials, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Addepto vs Binariks
| Dimension | Addepto | Binariks |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Retail / E-commerce, Financial Services | Healthcare, Technology / SaaS, Financial Services / Fintech |
| Best use cases | Predictive maintenance ML for manufacturing equipment with IoT sensor data integration, Recommendation engine development for e-commerce and retail personalisation platforms | ML feature development for healthcare SaaS products with HIPAA-aligned data handling, NLP document processing for fintech and lending platforms |
| Typical project type | Fixed project | Fixed project |
Addepto vs Binariks: 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 |
| Binariks | |
|---|---|
| + | Accessible $15K minimum enables early-stage healthcare and SaaS companies to engage professional ML development |
| + | Healthcare and fintech focus reduces onboarding overhead for clients in regulated industries |
| + | Transparent company communications indicate above-average technical thought leadership for its size |
| + | Lviv delivery at EU working hours provides useful timezone alignment for European clients |
| - | 150+ team ceiling limits concurrent capacity — not suitable for large multi-track enterprise programmes |
| - | Lviv-based delivery carries geopolitical risk; assess redundancy before long-term commitment |
| - | Less depth in advanced deep learning, computer vision, or generative AI relative to larger specialist firms |
| - | Founded 2014 — solid but not the longest track record for high-stakes enterprise risk modelling |
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 Binariks?
Binariks is the right choice for healthcare, SaaS, and fintech product teams needing accessible ML engineering from a small focused team.
Accessible $15K minimum with healthcare and fintech domain ML experience — lower entry cost than larger European peers without sacrificing engineering quality. Minimum engagement starts at $15K. Works best with clients in Healthcare, Technology / SaaS, Financial Services / Fintech, Logistics.
Decision matrix: Addepto vs Binariks
| 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 | Binariks |
| Your budget is at the lower end | Addepto |
| You need specialist depth in a specific vertical | Addepto |
| 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 Binariks
| Use case | Addepto fit | Binariks fit | Winner |
|---|---|---|---|
| Predictive maintenance ML for manufacturing equipment with IoT sensor data integration | Strong | Strong | Both equally |
| Recommendation engine development for e-commerce and retail personalisation platforms | Strong | Limited | Addepto |
| ML feature development for healthcare SaaS products with HIPAA-aligned data handling | Strong | Strong | Both equally |
| NLP document processing for fintech and lending platforms | Limited | Strong | Binariks |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Addepto vs Binariks
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.
Binariks (3.8/5) is the better choice when healthcare, SaaS, and fintech product teams needing accessible ML engineering from a small focused team. If your situation matches those criteria, Binariks is a competitive option.
Related comparisons
Addepto vs Binariks FAQ
Is Addepto better than Binariks?
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. Binariks is better for healthcare, SaaS, and fintech product teams needing accessible ML engineering from a small focused team.
How do Addepto and Binariks differ in pricing?
Addepto uses fixed project, t&m pricing with a minimum engagement of $15K. Binariks uses fixed project, t&m, dedicated team pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Addepto or Binariks?
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 Binariks?
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. Binariks's primary differentiator is: accessible $15k minimum with healthcare and fintech domain ml experience — lower entry cost than larger european peers without sacrificing engineering quality. They also differ in team size (50–100 vs 150+), minimum engagement ($15K vs $15K), and primary industries served (Manufacturing, Retail / E-commerce vs Healthcare, Technology / SaaS).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.