Tensorway vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Addepto (4.2/5) overall. Tensorway is the better choice for teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps. Addepto is the stronger option for mid-market companies in finance, energy, or retail needing bespoke ML models with full data pipeline support and sector-specific regulatory awareness. 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 | 2016 |
| HQ | Alicante, Spain | Warsaw, Poland |
| Team size | 28+ | 50–200 |
| Rating | 4.8 / 5 | 4.2 / 5 |
| Best for | Teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps | Mid-market companies in finance, energy, or retail needing bespoke ML models with full data pipeline support and sector-specific regulatory awareness |
| Pricing model | T&M, Fixed project, Dedicated team | Fixed project, T&M, Dedicated team |
| Min. engagement | $15K | $20K |
| Primary tech stack | TensorFlow, PyTorch, Keras | Python, TensorFlow, PyTorch |
| Industries served | healthcare, finance, retail, manufacturing, entertainment | fintech, energy, retail, manufacturing, logistics |
Tensorway vs Addepto: overview
Tensorway
Tensorway is a machine learning development company founded in 2019 and headquartered in Alicante, Spain with additional offices in San Mateo, California. The company emerged from Anadea, a software firm with 25 years of delivery history, and operates as a dedicated ML practice with 28+ specialists spanning data science, ML engineering, MLOps, and QA. Tensorway delivers custom ML solutions across predictive analytics, NLP, computer vision, and LLM integration for clients in healthcare, finance, retail, and manufacturing. Listed among top AI companies in Spain by Clutch, The Manifest, GoodFirms, and TechBehemoths.
Addepto
Addepto is a Poland-based AI consulting and development firm focused on end-to-end machine learning solutions for mid-market and enterprise clients. The company specializes in building data pipelines, custom ML models, and decision-support tools with particular depth in financial services, energy, and retail — industries where regulatory awareness and data governance are non-negotiable. Addepto covers the full stack from data engineering through model development, deployment, and integration.
Services and capabilities: Tensorway vs Addepto
| Capability | Tensorway | Addepto |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| ML consulting | ✓ | ✓ |
| Deep learning | ✓ | ✓ |
| NLP | ✓ | ✗ |
| Computer vision | ✓ | ✗ |
| MLOps | ✓ | ✗ |
| Predictive analytics | ✓ | ✓ |
| Generative AI | ✓ | ✓ |
| Data engineering | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Tensorway vs Addepto
| Framework / platform | Tensorway | Addepto |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| Scikit-Learn | ✓ | ✓ |
| LangChain | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| GCP Vertex AI | N/A | N/A |
| Kubernetes | N/A | N/A |
| Apache Spark | N/A | ✓ |
| MLflow | N/A | N/A |
Pricing comparison: Tensorway vs Addepto
| Criterion | Tensorway | Addepto |
|---|---|---|
| Minimum engagement | $15K | $20K |
| Engagement models | Fixed project, T&M, Dedicated team | Fixed project, T&M, Dedicated team |
| 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, finance, retail | fintech, energy, retail |
| Best use cases | Custom predictive analytics model development and deployment to production, LLM integration and RAG pipeline development using LangChain or LlamaIndex | Credit risk scoring and fraud detection model development for fintech platforms, Energy demand forecasting and grid optimization using time-series ML models |
| Typical project type | Fixed project | Fixed project |
Tensorway vs Addepto: pros and cons
| Tensorway | |
|---|---|
| + | Entire team is dedicated to ML — no generalist staff repurposed from other practices |
| + | Covers the full ML lifecycle: strategy, data engineering, model development, deployment, and MLOps support |
| + | Strong LLM and generative AI capability with LangChain, LangGraph, and LlamaIndex in production |
| + | Multiple pricing models including fixed-price PoC development, making it accessible for early validation |
| + | Recognized independently by Clutch, GoodFirms, and TechBehemoths as a top AI company in Spain |
| + | Low minimum engagement ($15K) compared to US-equivalent boutiques with similar specialization depth |
| - | Smaller team of 28+ limits parallel capacity for very large-scale programmes requiring 50+ ML engineers simultaneously |
| - | Spain/California time zone split may require coordination effort for US East Coast clients |
| Addepto | |
|---|---|
| + | Genuine depth in finance and energy ML — not a generalist firm claiming vertical expertise |
| + | Covers the full stack from data pipeline architecture through model deployment |
| + | Generative AI capability alongside classical ML for hybrid solution architectures |
| + | Warsaw delivery hub provides competitive rates with EU-based data handling |
| + | Accessible minimum engagement for early-stage ML projects or POCs |
| - | Smaller team than enterprise-tier firms; large-scale concurrent programmes may strain capacity |
| - | Less US-based client management than North American competitors |
| - | Limited public case studies compared to larger firms with dedicated marketing teams |
Who should choose Tensorway?
Tensorway is the right choice for teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps.
ML-only focus with a dedicated specialist team backed by 25 years of Anadea software delivery infrastructure — unusually deep for a firm of this size. Minimum engagement starts at $15K. Works best with clients in healthcare, finance, retail, manufacturing, entertainment.
Who should choose Addepto?
Addepto is the right choice for mid-market companies in finance, energy, or retail needing bespoke ML models with full data pipeline support and sector-specific regulatory awareness.
End-to-end AI/ML delivery with particular sector depth in financial services and energy — industries that require compliance sophistication alongside technical capability. Minimum engagement starts at $20K. Works best with clients in fintech, energy, retail, manufacturing, 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 | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Tensorway |
Use case fit: Tensorway vs Addepto
| Use case | Tensorway fit | Addepto fit | Winner |
|---|---|---|---|
| Custom predictive analytics model development and deployment to production | Strong | Strong | Both equally |
| LLM integration and RAG pipeline development using LangChain or LlamaIndex | Strong | Strong | Both equally |
| Credit risk scoring and fraud detection model development for fintech platforms | Limited | Strong | Addepto |
| Energy demand forecasting and grid optimization using time-series ML models | Limited | Strong | Addepto |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Tensorway vs Addepto
Tensorway (4.8/5) is the stronger overall choice for most Machine Learning Development projects. ML-only focus with a dedicated specialist team backed by 25 years of Anadea software delivery infrastructure — unusually deep for a firm of this size. It is best for teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps.
Addepto (4.2/5) is the better choice when mid-market companies in finance, energy, or retail needing bespoke ML models with full data pipeline support and sector-specific regulatory awareness. If your situation matches those criteria, Addepto is a competitive option.
Related comparisons
Tensorway vs Addepto FAQ
Is Tensorway better than Addepto?
Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway is better for teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps. Addepto is better for mid-market companies in finance, energy, or retail needing bespoke ML models with full data pipeline support and sector-specific regulatory awareness.
How do Tensorway and Addepto differ in pricing?
Tensorway uses t&m, fixed project, dedicated team pricing with a minimum engagement of $15K. Addepto uses fixed project, t&m, dedicated team pricing with a minimum engagement of $20K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Tensorway or Addepto?
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 company before shortlisting.
What are the main differences between Tensorway and Addepto?
Tensorway's primary differentiator is: ml-only focus with a dedicated specialist team backed by 25 years of anadea software delivery infrastructure — unusually deep for a firm of this size. Addepto's primary differentiator is: end-to-end ai/ml delivery with particular sector depth in financial services and energy — industries that require compliance sophistication alongside technical capability. They also differ in team size (28+ vs 50–200), minimum engagement ($15K vs $20K), and primary industries served (healthcare, finance vs fintech, energy).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.