Best Machine Learning Development Agencies

Tensorway vs MobiDev: full comparison for 2026

Quick verdict

Tensorway (4.6/5) edges ahead of MobiDev (4.2/5) overall. Tensorway is the better choice for mid-market companies, full-stack ML plus agentic AI. MobiDev is the stronger option for Retail, hospitality, fitness companies — proven mid-size AI delivery. 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 Atlanta, Georgia, USA
Team size 51–200 201–500
Rating 4.6 / 5 4.2 / 5
Primary differentiator full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals
Pricing model Time & Material, Fixed-Price PoC, Extended/Dedicated Team, and MVP Development Models Fixed project and dedicated team
Min. engagement $10K $20K
Primary tech stack Python, TensorFlow, PyTorch Python, TensorFlow, OpenCV
Industries served Healthcare, Finance, Retail, Manufacturing, Entertainment, Technology/SaaS Retail, Hospitality, Health & Fitness, Sports

Tensorway vs MobiDev: overview

Tensorway

Tensorway is a machine learning development company founded in 2019 and headquartered in Alicante, Spain, operating as an AI-focused entity. The firm focuses on deep learning, computer vision, and NLP systems for mid-market and enterprise clients in fintech, healthcare, retail, and edtech. Tensorway's engineering practice covers object detection, image segmentation, real-time video analytics, and large-scale NLP pipelines, with delivery backed by its parent company's 25-year software engineering track record. The team of 50+ ML engineers operates remotely across Europe and Latin America.

MobiDev

MobiDev is a custom software development company founded in 2009, headquartered in Atlanta, Georgia, with R&D centers in Lodz, Poland and Chernivtsi, Ukraine, and roughly 290–400 engineers. CEO Oleg Lola initiated a dedicated AI/ML practice in 2018, and the company has since delivered more than 65 AI/ML products, concentrated in retail, hospitality, fitness, sports, and health/wellness.

Services and capabilities: Tensorway vs MobiDev

Capability Tensorway MobiDev
Custom ML model development
Deep learning & computer vision
NLP & LLM / Generative AI
MLOps & production deployment
Data engineering
AI strategy consulting
Staff augmentation

Tech stack comparison: Tensorway vs MobiDev

Framework / platform Tensorway MobiDev
Python
TensorFlow
PyTorch N/A
AWS
Azure N/A
Google Cloud N/A
Kubernetes N/A
Databricks N/A N/A
LangChain N/A

Pricing comparison: Tensorway vs MobiDev

Criterion Tensorway MobiDev
Minimum engagement $10K $20K
Engagement models Fixed project, Dedicated team, Time & Material, Consulting retainer, Managed services, Staff augmentation Fixed project, Dedicated team
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: Tensorway vs MobiDev

Dimension Tensorway MobiDev
Best company size Startup to mid-market Startup to mid-market
Best industries Healthcare, Finance, Retail Retail, Hospitality, Health & Fitness
Best use cases Building a computer-vision pipeline for document or image understanding, Integrating a retrieval-augmented LLM chatbot or AI tutor into an existing product Retail or hospitality companies wanting computer-vision or recommendation features built into an existing product, Health and fitness apps needing an ML-driven personalization or tracking feature
Typical project type Fixed project Fixed project

Tensorway vs MobiDev: pros and cons

Tensorway
+ Broad technical coverage across classic ML, deep learning, computer vision, NLP, and LLM/agentic frameworks
+ Multiple flexible pricing structures, including a fixed-price proof-of-concept option for buyers wary of open-ended T&M
+ Explicit MLOps/DevSecOps practice rather than treating deployment as an afterthought
+ Established project-management and QA processes for predictable, well-documented delivery
- Public case studies name project types (document understanding, customer segmentation) but rarely name enterprise clients
- Smaller core team than several larger competitors on this list, limiting parallel workstream capacity
MobiDev
+ 65+ delivered AI/ML products gives a concrete, countable delivery track record rather than general marketing claims
+ Deliberate AI/ML practice build-out since 2018, rather than a very recent pivot
+ Named vertical concentration (retail, hospitality, fitness, health) supports domain-specific product experience
+ Mid-size team (290–400) balances specialist focus with real delivery capacity
- Narrower industry focus than horizontal AI consultancies serving finance, healthcare, and manufacturing broadly
- Smaller scale than the large enterprise IT firms on this list, limiting very large multi-team programs
- AI/ML sits alongside a broader general custom-software-development practice

Who should choose Tensorway?

A typical fit: building a computer-vision pipeline for document or image understanding.

full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team. Minimum engagement starts at $10K. Works best with clients in Healthcare, Finance, Retail, Manufacturing, Entertainment, Technology/SaaS.

Who should choose MobiDev?

A typical fit: retail or hospitality companies wanting computer-vision or recommendation features built into an existing product.

65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals. Minimum engagement starts at $20K. Works best with clients in Retail, Hospitality, Health & Fitness, Sports.

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 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 MobiDev

Use case Tensorway fit MobiDev fit Winner
Building a computer-vision pipeline for document or image understanding Strong Limited Tensorway
Integrating a retrieval-augmented LLM chatbot or AI tutor into an existing product Strong Limited Tensorway
Retail or hospitality companies wanting computer-vision or recommendation features built into an existing product Limited Strong MobiDev
Health and fitness apps needing an ML-driven personalization or tracking feature Limited Strong MobiDev
Fixed-price build Strong Limited Tensorway
Staff augmentation Limited Limited Both equally

Verdict: Tensorway vs MobiDev

Tensorway (4.6/5) is the stronger overall choice for most Machine Learning Development projects. full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.

MobiDev (4.2/5) is worth a look if you need health and fitness apps needing an ML-driven personalization or tracking feature. If your situation matches that, MobiDev is a competitive option.

Related comparisons

Tensorway vs MobiDev FAQ

Is Tensorway better than MobiDev?

Tensorway (4.6/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: broad technical coverage across classic ML, deep learning, computer vision, NLP, and LLM/agentic frameworks. MobiDev's strongest advantage: 65+ delivered AI/ML products gives a concrete, countable delivery track record rather than general marketing claims.

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 $10K. MobiDev uses fixed project and 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 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 agency before shortlisting.

What are the main differences between Tensorway and MobiDev?

Tensorway's primary differentiator is: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team. MobiDev's primary differentiator is: 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals. They also differ in team size (51–200 vs 201–500), minimum engagement ($10K vs $20K), and primary industries served (Healthcare, Finance vs Retail, Hospitality).