Tensorway vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Addepto (4.4/5) overall. Tensorway is the better choice for mid-market fintech, supply chain, and SaaS companies that need a hybrid statistical/deep-learning forecasting model built and put into production.. Addepto is the stronger option for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build.. 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 | 2018 |
| HQ | Alicante, Spain | Warsaw, Poland |
| Team size | 51–200 | 51–200 |
| Rating | 4.8 / 5 | 4.4 / 5 |
| Best for | Mid-market fintech, supply chain, and SaaS companies that need a hybrid statistical/deep-learning forecasting model built and put into production. | Cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build. |
| Pricing model | Time & Material, Fixed-Price PoC, Extended Team, Dedicated Team, R&D Development | Project-based |
| Min. engagement | Not published | $10,000 |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, MLOps tooling, Cloud ML platforms (AWS/GCP/Azure) |
| Industries served | Fintech, Supply chain, Energy, B2B SaaS, Healthcare, Retail | Finance, Healthcare, Retail |
Tensorway vs Addepto: overview
Tensorway
Tensorway builds and fine-tunes machine learning models for fintech, supply chain, energy, and B2B SaaS clients, with particular depth in hybrid approaches that combine statistical forecasting baselines with deep learning. The company was founded in 2019 and operates as a spin-off of Anadea, a Spain-based software development company with roughly two decades of engineering history. Its delivery team spans data scientists, full-stack AI engineers, MLOps specialists, and QA engineers who support the full lifecycle from custom model training through deployment and monitoring. Case studies published on its site include a Named Entity Recognition model for automated Latvian/English invoice processing and a multi-agent deal-sourcing system for an investment firm.
Addepto
Addepto is a Poland-based AI consulting firm founded in 2018 by Artur Haponik and Edwin Lisowski that focuses specifically on machine learning consulting, MLOps consulting, and data/analytics advisory work rather than broader software development. The company has around 52 employees and holds a 4.7 Clutch rating, with Clutch-reported project costs typically in the $10,000–$49,000 range, making it one of the more budget-accessible options among firms in this category. Addepto has been recognized among Forbes' top AI consulting companies and appeared on the Deloitte Technology Fast 500 EMEA list, citing 1,193 percent revenue growth over the qualifying period. In December 2025, Addepto was acquired by KMS Technology, a US-based digital engineering, data, and AI company backed by growth private equity firm Sunstone Partners; Addepto now operates as an integrated division rather than as a fully independent company.
Services and capabilities: Tensorway vs Addepto
| Capability | Tensorway | Addepto |
|---|---|---|
| Custom model training | ✓ | ✓ |
| Fine-tuning & adaptation | ✓ | ✗ |
| MLOps pipeline | ✓ | ✓ |
| Model deployment & serving | ✓ | ✗ |
| Data engineering for ML | ✓ | ✓ |
| ML infrastructure management | ✗ | ✗ |
| Computer vision | ✗ | ✗ |
| NLP & LLM development | ✗ | ✗ |
| Forecasting & time-series modeling | ✓ | ✗ |
| ML strategy consulting | ✗ | ✓ |
Tech stack comparison: Tensorway vs Addepto
| Framework / platform | Tensorway | Addepto |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| MLflow | ✓ | N/A |
| AWS SageMaker | ✓ | N/A |
| Amazon Bedrock | N/A | N/A |
| Google Cloud | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Kubernetes | ✓ | N/A |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: Tensorway vs Addepto
| Criterion | Tensorway | Addepto |
|---|---|---|
| Minimum engagement | Not published | $10,000 |
| Engagement models | Time & Material, Fixed-price PoC, Extended team, Dedicated team, R&D development | Fixed project, Advisory/consulting retainer |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Tensorway vs Addepto
| Dimension | Tensorway | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Supply chain, Energy | Finance, Healthcare, Retail |
| Best use cases | Building a hybrid time-series forecasting model for supply chain or energy demand planning, Fine-tuning an NER model for multilingual document/invoice extraction | Auditing an existing ML pipeline and recommending MLOps improvements, Running a well-scoped, budget-constrained machine learning pilot |
| Typical project type | Time & Material | Fixed project |
Tensorway vs Addepto: pros and cons
| Tensorway | |
|---|---|
| + | Named Clutch reviews describe organized project management and consistently met deadlines. |
| + | Combines statistical and deep-learning methods rather than over-indexing on one approach. |
| + | Backed by Anadea's two-decade software delivery track record, reducing single-point-of-failure risk. |
| + | Published, verifiable case studies with concrete outcomes (e.g., NER-based invoice automation). |
| + | Broad five-tier engagement menu makes it accessible for both PoC-stage and scaling clients. |
| - | Relatively small team (51–200) limits capacity for very large, multi-workstream enterprise programs. |
| - | Public case study volume is thin relative to larger competitors, so vertical-specific proof points are limited outside fintech/supply chain. |
| - | Clients note post-engagement follow-up could be more structured (per Clutch reviews). |
| - | No published pricing floor, requiring a scoping call before cost clarity. |
| Addepto | |
|---|---|
| + | 4.7 Clutch rating with lower typical project cost ($10K–$49K) than most peers in this comparison. |
| + | Named a top 10 AI consulting company by Forbes. |
| + | Deloitte Technology Fast 500 EMEA recognition (#143) signals strong recent revenue growth. |
| + | Focused specifically on ML/MLOps consulting rather than diluting attention across general software development. |
| - | Small team (~52 employees) caps capacity for large or multiple concurrent enterprise engagements. |
| - | Lower typical project size may signal a fit for smaller-scope work rather than large production ML platforms. |
| - | Public case studies with named enterprise clients are limited in available sources. |
| - | Now part of KMS Technology following the December 2025 acquisition, introducing near-term integration and roadmap uncertainty for prospective clients. |
Who should choose Tensorway?
Tensorway is the right choice for mid-market fintech, supply chain, and SaaS companies that need a hybrid statistical/deep-learning forecasting model built and put into production..
Combines classical statistical forecasting with deep learning rather than defaulting to deep learning alone, and ships with experiment tracking and monitoring built in.. Minimum engagement starts at Not published. Works best with clients in Fintech, Supply chain, Energy, B2B SaaS, Healthcare, Retail.
Who should choose Addepto?
Addepto is the right choice for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build..
Dedicated MLOps-consulting service line and Clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option.. Minimum engagement starts at $10,000. Works best with clients in Finance, Healthcare, Retail.
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 | Compare: Tensorway (Not published) vs Addepto ($10,000) |
| 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 | Addepto |
Use case fit: Tensorway vs Addepto
| Use case | Tensorway fit | Addepto fit | Winner |
|---|---|---|---|
| Building a hybrid time-series forecasting model for supply chain or energy demand planning | Strong | Limited | Tensorway |
| Fine-tuning an NER model for multilingual document/invoice extraction | Strong | Limited | Tensorway |
| Auditing an existing ML pipeline and recommending MLOps improvements | Limited | Strong | Addepto |
| Running a well-scoped, budget-constrained machine learning pilot | Limited | Strong | Addepto |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Strong | Addepto |
Verdict: Tensorway vs Addepto
Tensorway (4.8/5) is the stronger overall choice for most ML Model Development projects. Combines classical statistical forecasting with deep learning rather than defaulting to deep learning alone, and ships with experiment tracking and monitoring built in.. It is best for mid-market fintech, supply chain, and SaaS companies that need a hybrid statistical/deep-learning forecasting model built and put into production..
Addepto (4.4/5) is the better choice when cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build.. 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 mid-market fintech, supply chain, and SaaS companies that need a hybrid statistical/deep-learning forecasting model built and put into production.. Addepto is better for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build..
How do Tensorway and Addepto differ in pricing?
Tensorway uses time & material, fixed-price poc, extended team, dedicated team, r&d development pricing with a minimum engagement of Not published. Addepto uses project-based pricing with a minimum engagement of $10,000. 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 company before shortlisting.
What are the main differences between Tensorway and Addepto?
Tensorway's primary differentiator is: combines classical statistical forecasting with deep learning rather than defaulting to deep learning alone, and ships with experiment tracking and monitoring built in.. Addepto's primary differentiator is: dedicated mlops-consulting service line and clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option.. They also differ in team size (51–200 vs 51–200), minimum engagement (Not published vs $10,000), and primary industries served (Fintech, Supply chain vs Finance, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.