Tensorway vs Addepto: full comparison for 2026
Quick verdict
Tensorway (4.5/5) edges ahead of Addepto (3.9/5) overall. Tensorway is the better choice for mid-market teams, senior deep-learning expertise, direct access. Addepto is the stronger option for Manufacturing, logistics, retail SMEs — focused boutique, senior access. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs Addepto: head-to-head summary
| Criterion | Tensorway | Addepto |
|---|---|---|
| Founded | 2019 | 2017 |
| HQ | Alicante, Spain | Warsaw, Poland |
| Team size | 50–100 | 50–100 |
| Rating | 4.5 / 5 | 3.9 / 5 |
| Primary differentiator | Boutique deep-learning specialist offering direct access to senior engineers, drawing on the 25-year delivery experience of its parent company | Focused vertical expertise in manufacturing predictive maintenance and retail AI at boutique scale — avoids the generalist overhead of larger firms for targeted use cases |
| Pricing model | Dedicated team, fixed project, retainer, T&M | Fixed project, T&M |
| Min. engagement | $10K | $15K |
| Primary tech stack | TensorFlow, PyTorch, LangChain | Python, TensorFlow, PyTorch |
| Industries served | Healthcare, Hospitality, Financial Services, Edtech, Technology / SaaS, Fintech, E-commerce, Logistics | Manufacturing, Retail / E-commerce, Financial Services, Logistics |
Tensorway vs Addepto: overview
Tensorway
Tensorway is a machine learning development company headquartered in Alicante, Spain, built on the software delivery infrastructure of its parent company, Anadea. The firm employs 50+ data scientists and ML engineers focused exclusively on deep learning, NLP, computer vision, and agentic AI, with over 15 completed ML projects across healthcare, hospitality, financial services, edtech, and technology/SaaS. Its differentiation lies in boutique team access — clients work directly with senior deep learning engineers rather than through the account-management layers typical of larger firms, with hands-on production ML delivery on AWS. Minimum project size starts at $10K.
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.
Services and capabilities: Tensorway vs Addepto
| Capability | Tensorway | Addepto |
|---|---|---|
| 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: Tensorway vs Addepto
| Framework / platform | Tensorway | Addepto |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
| Databricks | N/A | N/A |
| MLflow | N/A | ✓ |
Pricing comparison: Tensorway vs Addepto
| Criterion | Tensorway | Addepto |
|---|---|---|
| Minimum engagement | $10K | $15K |
| Engagement models | Dedicated team, Fixed project, Retainer, Time & materials | Fixed project, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Tensorway vs Addepto
| Dimension | Tensorway | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Hospitality, Financial Services | Manufacturing, Retail / E-commerce, Financial Services |
| Best use cases | Custom computer vision systems for automated quality inspection or medical imaging analysis, LLM and agentic AI integration for enterprise workflow automation | Predictive maintenance ML for manufacturing equipment with IoT sensor data integration, Recommendation engine development for e-commerce and retail personalisation platforms |
| Typical project type | Dedicated team | Fixed project |
Tensorway vs Addepto: pros and cons
| Tensorway | |
|---|---|
| + | Strong delivery track record in deep learning and NLP, with client references available under NDA |
| + | Hands-on production ML delivery on AWS across computer vision and NLP workloads |
| + | Direct access to senior ML engineers — no account management layers between client and delivery team |
| + | Established project-management and QA processes for predictable, well-documented delivery |
| + | Specialisation in agentic AI and LLM integration is ahead of most generalist competitors at this team size |
| + | Cost-effective relative to US-based boutiques while delivering Western European quality standards |
| - | Team of 50+ limits concurrent large-scale engagements to two or three active projects |
| - | Less established brand recognition than larger named competitors despite strong delivery record |
| - | Vertical depth is strongest in healthcare and hospitality; niche verticals may require additional onboarding time |
| 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 |
Who should choose Tensorway?
A typical fit: custom computer vision systems for automated quality inspection or medical imaging analysis.
Boutique deep-learning specialist offering direct access to senior engineers, drawing on the 25-year delivery experience of its parent company. Minimum engagement starts at $10K. Works best with clients in Healthcare, Hospitality, Financial Services, Edtech, Technology / SaaS, Fintech, E-commerce, Logistics.
Who should choose Addepto?
A typical fit: predictive maintenance ML for manufacturing equipment with IoT sensor data integration.
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.
Decision matrix: Tensorway vs Addepto
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Tensorway |
| You need a large dedicated team for an ongoing programme | Tensorway |
| Your budget is at the lower end | Tensorway |
| You need specialist depth in a specific vertical | Tensorway |
| You need staff augmentation or team extension | Tensorway |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Tensorway vs Addepto
| Use case | Tensorway fit | Addepto fit | Winner |
|---|---|---|---|
| Custom computer vision systems for automated quality inspection or medical imaging analysis | Strong | Limited | Tensorway |
| LLM and agentic AI integration for enterprise workflow automation | Strong | Limited | Tensorway |
| Predictive maintenance ML for manufacturing equipment with IoT sensor data integration | Limited | Strong | Addepto |
| Recommendation engine development for e-commerce and retail personalisation platforms | Limited | Strong | Addepto |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Tensorway vs Addepto
Tensorway (4.5/5) is the stronger overall choice for most Machine Learning projects. Boutique deep-learning specialist offering direct access to senior engineers, drawing on the 25-year delivery experience of its parent company.
Addepto (3.9/5) is worth a look if you need recommendation engine development for e-commerce and retail personalisation platforms. If your situation matches that, Addepto is a competitive option.
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Tensorway vs Addepto FAQ
Is Tensorway better than Addepto?
Tensorway (4.5/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: strong delivery track record in deep learning and NLP, with client references available under NDA. Addepto's strongest advantage: focused manufacturing and retail portfolio reduces onboarding time on predictive maintenance and recommendation system projects.
How do Tensorway and Addepto differ in pricing?
Tensorway uses dedicated team, fixed project, retainer, t&m pricing with a minimum engagement of $10K. Addepto uses fixed project, t&m 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: Tensorway or Addepto?
Tensorway 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 Tensorway and Addepto?
Tensorway's primary differentiator is: boutique deep-learning specialist offering direct access to senior engineers, drawing on the 25-year delivery experience of its parent company. 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. They also differ in team size (50–100 vs 50–100), minimum engagement ($10K vs $15K), and primary industries served (Healthcare, Hospitality vs Manufacturing, Retail / E-commerce).