Best Machine Learning Development Agencies

Tensorway vs Andersen: full comparison for 2026

Last updated: July 2026

Quick verdict

Tensorway (4.6/5) edges ahead of Andersen (4.0/5) overall. Tensorway is the better choice for mid-market companies wanting a single vendor to cover custom ML model development, computer vision or NLP, and LLM/agentic AI integration under one roof.. Andersen is the stronger option for mid-to-large enterprises wanting AI/ML and data science delivered alongside broad custom software development from a single European vendor.. The right choice depends on your project size, budget, and required tech stack.

Tensorway vs Andersen: head-to-head summary

Criterion Tensorway Andersen
Founded 2019 2007
HQ Alicante, Spain Warsaw, Poland
Team size 51–200 1,001–5,000
Rating 4.6 / 5 4.0 / 5
Best for Mid-market companies wanting a single vendor to cover custom ML model development, computer vision or NLP, and LLM/agentic AI integration under one roof. Mid-to-large enterprises wanting AI/ML and data science delivered alongside broad custom software development from a single European vendor.
Pricing model Time & Material, fixed-price PoC, extended/dedicated team, and MVP development models Fixed project, dedicated team, staff augmentation
Min. engagement $25K Not published
Primary tech stack Python, TensorFlow, PyTorch Python, TensorFlow, AWS
Industries served Healthcare, Finance, Retail, Manufacturing, Entertainment Technology/SaaS, Retail, Manufacturing, Financial Services

Tensorway vs Andersen: overview

Tensorway

Tensorway is a Spain-based machine learning and AI development company, founded in 2019 and headquartered in Alicante, with roots in Anadea, a longer-running software development firm (per company website; independently unverifiable exact spin-off structure). LinkedIn lists the company in the 51–200 employee band, though its own team page cites a smaller core team of around 28 specialists across data science, ML engineering, DevOps/MLOps, and QA. The firm covers the full ML lifecycle from custom model development through LLM integration and MLOps.

Andersen

Andersen (also known as Andersen Lab) is a software development company founded in 2007, headquartered in Warsaw, Poland, with development centers across Germany, the US, UK, and several other countries. Reported headcount is roughly 3,500–3,700 specialists, and the firm's services span AI, machine learning, data science, big data, and an AI-powered robotic integration line alongside broader custom software development.

Services and capabilities: Tensorway vs Andersen

Capability Tensorway Andersen
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 Andersen

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

Pricing comparison: Tensorway vs Andersen

Criterion Tensorway Andersen
Minimum engagement $25K Not published
Engagement models Time & Material, Fixed project, Dedicated team Fixed project, Dedicated team, Staff augmentation
Rate transparency Minimum disclosed Not public
Price tier Accessible Enterprise / not published

Target audience comparison: Tensorway vs Andersen

Dimension Tensorway Andersen
Best company size Startup to mid-market Startup to mid-market
Best industries Healthcare, Finance, Retail Technology/SaaS, Retail, Manufacturing
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 Enterprises wanting AI/ML and data science alongside broader custom software development, Manufacturing clients interested in the AI-powered robotic integration line
Typical project type Time & Material Fixed project

Tensorway vs Andersen: 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
+ Backed by Anadea's two-decade software engineering track record for delivery discipline
- Company originated from and is closely tied to Anadea, so buyers should clarify which entity holds the contract and IP (per company website; independently unverifiable parent-subsidiary structure)
- 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
Andersen
+ 18 years of operating history with 1,000+ delivered projects cited by the company
+ 3,500+ specialists across 10+ countries supports large, distributed engagements
+ AI/ML, data science, and big data are named practice areas, not an afterthought
+ Unusual AI-powered robotic integration line differentiates from purely software-based competitors
- AI/ML sits within a broad custom-software-development portfolio rather than being the company's sole focus
- Public sources list slightly different HQ addresses across time (Krakow vs. Warsaw), worth confirming current location
- Minimum engagement size not publicly disclosed

Who should choose Tensorway?

Tensorway is the right choice for mid-market companies wanting a single vendor to cover custom ML model development, computer vision or NLP, and LLM/agentic AI integration under one roof..

Full-stack ML delivery — data science, MLOps, and LLM/agentic frameworks (LangChain, LangGraph, AutoGen) — in one team.. Minimum engagement starts at $25K. Works best with clients in Healthcare, Finance, Retail, Manufacturing, Entertainment.

Who should choose Andersen?

Andersen is the right choice for mid-to-large enterprises wanting AI/ML and data science delivered alongside broad custom software development from a single European vendor..

Named AI-powered robotic integration line alongside standard AI/ML and data science services.. Minimum engagement starts at Not published. Works best with clients in Technology/SaaS, Retail, Manufacturing, Financial Services.

Decision matrix: Tensorway vs Andersen

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 ($25K) vs Andersen (Not published)
You need specialist depth in a specific vertical Tensorway
You need staff augmentation or team extension Andersen
You need consulting before committing to a build Andersen

Use case fit: Tensorway vs Andersen

Use case Tensorway fit Andersen 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
Enterprises wanting AI/ML and data science alongside broader custom software development Limited Strong Andersen
Manufacturing clients interested in the AI-powered robotic integration line Limited Strong Andersen
Fixed-price build Strong Limited Tensorway
Staff augmentation Limited Strong Andersen

Verdict: Tensorway vs Andersen

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.. It is best for mid-market companies wanting a single vendor to cover custom ML model development, computer vision or NLP, and LLM/agentic AI integration under one roof..

Andersen (4.0/5) is the better choice when mid-to-large enterprises wanting AI/ML and data science delivered alongside broad custom software development from a single European vendor.. If your situation matches those criteria, Andersen is a competitive option.

Related comparisons

Tensorway vs Andersen FAQ

Is Tensorway better than Andersen?

Tensorway (4.6/5) scores higher overall, but "better" depends on your use case. Tensorway is better for mid-market companies wanting a single vendor to cover custom ML model development, computer vision or NLP, and LLM/agentic AI integration under one roof.. Andersen is better for mid-to-large enterprises wanting AI/ML and data science delivered alongside broad custom software development from a single European vendor..

How do Tensorway and Andersen differ in pricing?

Tensorway uses time & material, fixed-price poc, extended/dedicated team, and mvp development models pricing with a minimum engagement of $25K. Andersen uses fixed project, dedicated team, staff augmentation 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 Andersen?

Andersen 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 Andersen?

Tensorway's primary differentiator is: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.. Andersen's primary differentiator is: named ai-powered robotic integration line alongside standard ai/ml and data science services.. They also differ in team size (51–200 vs 1,001–5,000), minimum engagement ($25K vs Not published), and primary industries served (Healthcare, Finance vs Technology/SaaS, Retail).

Last reviewed: July 2026. Verify all details directly with each agency before making a decision.