Best Machine Learning Development Agencies

Tensorway vs ScienceSoft: full comparison for 2026

Last updated: July 2026

Quick verdict

Tensorway (4.6/5) edges ahead of ScienceSoft (3.9/5) 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.. ScienceSoft is the stronger option for companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs.. The right choice depends on your project size, budget, and required tech stack.

Tensorway vs ScienceSoft: head-to-head summary

Criterion Tensorway ScienceSoft
Founded 2019 1989
HQ Alicante, Spain McKinney, Texas, USA
Team size 51–200 501–1,000
Rating 4.6 / 5 3.9 / 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. Companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs.
Pricing model Time & Material, fixed-price PoC, extended/dedicated team, and MVP development models Fixed project and Time & Material
Min. engagement $25K Not published
Primary tech stack Python, TensorFlow, PyTorch Python, TensorFlow, AWS
Industries served Healthcare, Finance, Retail, Manufacturing, Entertainment Healthcare, Retail, Financial Services, Manufacturing

Tensorway vs ScienceSoft: 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.

ScienceSoft

ScienceSoft is an IT consulting and software development company founded in 1989, headquartered in McKinney, Texas, with additional offices in Europe, the UAE, and Vietnam. The firm reports more than 750 IT professionals and over 3,600 delivered projects across its 36-year history, with AI/ML positioned as one core service area among IT strategy consulting, cloud, cybersecurity, and quality assurance.

Services and capabilities: Tensorway vs ScienceSoft

Capability Tensorway ScienceSoft
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 ScienceSoft

Framework / platform Tensorway ScienceSoft
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 ScienceSoft

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

Target audience comparison: Tensorway vs ScienceSoft

Dimension Tensorway ScienceSoft
Best company size Startup to mid-market Mid-market to enterprise
Best industries Healthcare, Finance, Retail Healthcare, Retail, Financial Services
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 Companies wanting AI/ML bundled with existing cloud, QA, or cybersecurity work from a single long-established vendor, Healthcare or manufacturing clients needing broad IT consulting plus a specific ML/AI component
Typical project type Time & Material Fixed project

Tensorway vs ScienceSoft: 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
ScienceSoft
+ 36 years of continuous operation and 3,600+ delivered projects (per company website) among the longest track records reviewed here
+ Over half of staff cited as senior-level specialists (per company website)
+ Broad IT service catalog means AI/ML can be bundled with cloud, security, or QA from the same vendor
+ Multi-region office presence (Europe, UAE, Vietnam) beyond the US HQ
- AI/ML is one of several core services (alongside cloud, cybersecurity, QA) rather than the firm's defining specialty
- Less AI-first branding or ML-specific certification profile than boutique AI consultancies on this list
- 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 ScienceSoft?

ScienceSoft is the right choice for companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs..

36 years of continuous IT consulting history, one of the longest track records among firms on this list.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail, Financial Services, Manufacturing.

Decision matrix: Tensorway vs ScienceSoft

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 ScienceSoft (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 ScienceSoft

Use case fit: Tensorway vs ScienceSoft

Use case Tensorway fit ScienceSoft 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
Companies wanting AI/ML bundled with existing cloud, QA, or cybersecurity work from a single long-established vendor Limited Strong ScienceSoft
Healthcare or manufacturing clients needing broad IT consulting plus a specific ML/AI component Limited Strong ScienceSoft
Fixed-price build Strong Limited Tensorway
Staff augmentation Limited Limited Both equally

Verdict: Tensorway vs ScienceSoft

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..

ScienceSoft (3.9/5) is the better choice when companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs.. If your situation matches those criteria, ScienceSoft is a competitive option.

Related comparisons

Tensorway vs ScienceSoft FAQ

Is Tensorway better than ScienceSoft?

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.. ScienceSoft is better for companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs..

How do Tensorway and ScienceSoft differ in pricing?

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

ScienceSoft 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 ScienceSoft?

Tensorway's primary differentiator is: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.. ScienceSoft's primary differentiator is: 36 years of continuous it consulting history, one of the longest track records among firms on this list.. They also differ in team size (51–200 vs 501–1,000), minimum engagement ($25K vs Not published), and primary industries served (Healthcare, Finance vs Healthcare, Retail).

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