Tensorway vs MobiDev: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of MobiDev (4.3/5) overall. Tensorway is the better choice for mid-market fintech and SaaS, hybrid forecasting models. MobiDev is the stronger option for Small/mid-size companies, dedicated ML consulting arm. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs MobiDev: head-to-head summary
| Criterion | Tensorway | MobiDev |
|---|---|---|
| Founded | 2019 | 2009 |
| HQ | Alicante, Spain | Norcross, USA (delivery centers: Lodz, Poland and Chernivtsi, Ukraine) |
| Team size | 51–200 | 201–500 |
| Rating | 4.8 / 5 | 4.3 / 5 |
| Primary differentiator | Combines classical statistical forecasting with deep learning rather than defaulting to deep learning alone, and ships with experiment tracking and monitoring built in | Historical Clutch #1 ranking for machine learning development (2021) combined with a specifically SME-oriented service model |
| Pricing model | Time & Material, Fixed-Price PoC, Extended/Dedicated Team, and MVP Development Models | Time & Material, Fixed project |
| Min. engagement | $10,000 | Not published |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, Computer vision frameworks, Cloud ML platforms |
| Industries served | Fintech, Supply chain, Energy, B2B SaaS, Healthcare, Retail | Healthcare, Retail, Manufacturing, Media |
Tensorway vs MobiDev: 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. 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.
MobiDev
MobiDev is a software development and consulting company founded in 2009, with business units in Norcross, Georgia (US) and Sheffield (UK), and R&D delivery centers in Lodz, Poland and Chernivtsi, Ukraine staffed by more than 400 engineers. Its consulting services span data science, machine learning, augmented reality, IoT, and DevOps, aimed at small and medium-sized companies rather than large enterprises. The company reports a 100 percent project success rate on Upwork and was named the #1 machine learning development company by Clutch in 2021.
Services and capabilities: Tensorway vs MobiDev
| Capability | Tensorway | MobiDev |
|---|---|---|
| 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 MobiDev
| Framework / platform | Tensorway | MobiDev |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| MLflow | ✓ | N/A |
| AWS SageMaker | ✓ | N/A |
| Amazon Bedrock | N/A | N/A |
| Google Cloud | ✓ | N/A |
| Microsoft Azure | ✓ | N/A |
| Kubernetes | ✓ | ✓ |
| Snowflake | ✓ | N/A |
| NVIDIA | ✓ | N/A |
Pricing comparison: Tensorway vs MobiDev
| Criterion | Tensorway | MobiDev |
|---|---|---|
| Minimum engagement | $10,000 | Not published |
| Engagement models | Dedicated team, Fixed project, Retainer, Time & Material | Time & Material, Fixed project, Dedicated team |
| Rate transparency | $50 - $99 / hr | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Tensorway vs MobiDev
| Dimension | Tensorway | MobiDev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Supply chain, Energy | Healthcare, Retail, Manufacturing |
| 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 | Building a custom ML model for a small or medium-sized business without an internal data science team, Combining computer vision or ML work with broader mobile/IoT product development |
| Typical project type | Dedicated team | Time & Material |
Tensorway vs MobiDev: pros and cons
| Tensorway | |
|---|---|
| + | Strong delivery track record in deep learning and NLP, with client references available under NDA |
| + | Combines statistical and deep-learning methods rather than over-indexing on one approach. |
| + | Established project-management and QA processes for predictable, well-documented delivery |
| + | Published, verifiable case studies with concrete outcomes (e.g., NER-based invoice automation). |
| + | Broad four-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. |
| - | Published minimum engagement ($10,000) may still require a scoping call to firm up cost for larger projects. |
| MobiDev | |
|---|---|
| + | Historical Clutch #1 ranking in machine learning development (2021). |
| + | 16 Clutch reviews with consistently positive delivery feedback. |
| + | Explicit focus on small/medium-sized clients, a niche underserved by larger enterprise-first firms. |
| + | Multi-country delivery footprint (Poland, Ukraine) with 400+ engineers provides meaningful bench depth. |
| - | Team-size figures vary by source (roughly 200–500), indicating some reporting inconsistency. |
| - | SME focus may mean less experience with very large, complex enterprise-scale ML platforms. |
| - | Machine learning is one of several practice areas (alongside AR, IoT) rather than the sole focus. |
| - | Minimum engagement size is not published, requiring a scoping conversation. |
Who should choose Tensorway?
A typical fit: building a hybrid time-series forecasting model for supply chain or energy demand planning.
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 $10,000. Works best with clients in Fintech, Supply chain, Energy, B2B SaaS, Healthcare, Retail.
Who should choose MobiDev?
A typical fit: building a custom ML model for a small or medium-sized business without an internal data science team.
Historical Clutch #1 ranking for machine learning development (2021) combined with a specifically SME-oriented service model. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail, Manufacturing, Media.
Decision matrix: Tensorway vs MobiDev
| 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 ($10,000) vs MobiDev (Not published) |
| 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 | MobiDev |
Use case fit: Tensorway vs MobiDev
| Use case | Tensorway fit | MobiDev fit | Winner |
|---|---|---|---|
| Building a hybrid time-series forecasting model for supply chain or energy demand planning | Strong | Strong | Both equally |
| Fine-tuning an NER model for multilingual document/invoice extraction | Strong | Limited | Tensorway |
| Building a custom ML model for a small or medium-sized business without an internal data science team | Strong | Strong | Both equally |
| Combining computer vision or ML work with broader mobile/IoT product development | Limited | Strong | MobiDev |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Limited | Both equally |
Verdict: Tensorway vs MobiDev
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.
MobiDev (4.3/5) is worth a look if you need combining computer vision or ML work with broader mobile/IoT product development. If your situation matches that, MobiDev is a competitive option.
Related comparisons
Tensorway vs MobiDev FAQ
Is Tensorway better than MobiDev?
Tensorway (4.8/5) 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. MobiDev's strongest advantage: historical Clutch #1 ranking in machine learning development (2021).
How do Tensorway and MobiDev differ in pricing?
Tensorway uses time & material, fixed-price poc, extended/dedicated team, and mvp development models pricing with a minimum engagement of $10,000. MobiDev uses time & material, fixed project pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Tensorway or MobiDev?
MobiDev 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 MobiDev?
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. MobiDev's primary differentiator is: historical Clutch #1 ranking for machine learning development (2021) combined with a specifically SME-oriented service model. They also differ in team size (51–200 vs 201–500), minimum engagement ($10,000 vs Not published), and primary industries served (Fintech, Supply chain vs Healthcare, Retail).