Best Machine Learning Development Agencies

Tensorway vs Softweb Solutions: full comparison for 2026

Quick verdict

Tensorway (4.6/5) edges ahead of Softweb Solutions (3.9/5) overall. Tensorway is the better choice for mid-market companies, full-stack ML plus agentic AI. Softweb Solutions is the stronger option for companies needing AI/ML plus IoT, Avnet-backed. The right choice depends on your project size, budget, and required tech stack.

Tensorway vs Softweb Solutions: head-to-head summary

Criterion Tensorway Softweb Solutions
Founded 2019 2006
HQ Alicante, Spain Plano, Texas, USA
Team size 51–200 201–500
Rating 4.6 / 5 3.9 / 5
Primary differentiator full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects
Pricing model Time & Material, Fixed-Price PoC, Extended/Dedicated Team, and MVP Development Models Fixed project and managed services
Min. engagement $10K Not published
Primary tech stack Python, TensorFlow, PyTorch Python, TensorFlow, Azure IoT
Industries served Healthcare, Finance, Retail, Manufacturing, Entertainment, Technology/SaaS Manufacturing, Retail, Logistics

Tensorway vs Softweb Solutions: 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.

Softweb Solutions

Softweb Solutions is an AI and IoT-focused digital transformation company founded in 2006 (some sources cite 2004), headquartered in Plano, Texas, with additional offices in Chicago, Dallas, and Ahmedabad, India. The company was acquired by global electronics distributor Avnet in December 2018 and now operates as 'Softweb Solutions — An Avnet Company,' building AI models for image classification, intelligent forecasting, and IoT scenario detection alongside broader data and digital transformation services.

Services and capabilities: Tensorway vs Softweb Solutions

Capability Tensorway Softweb Solutions
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 Softweb Solutions

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

Pricing comparison: Tensorway vs Softweb Solutions

Criterion Tensorway Softweb Solutions
Minimum engagement $10K Not published
Engagement models Fixed project, Dedicated team, Time & Material, Consulting retainer, Managed services, Staff augmentation Fixed project, Managed services
Rate transparency Minimum disclosed Not public
Price tier Accessible Enterprise / not published

Target audience comparison: Tensorway vs Softweb Solutions

Dimension Tensorway Softweb Solutions
Best company size Startup to mid-market Startup to mid-market
Best industries Healthcare, Finance, Retail Manufacturing, Retail, Logistics
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 Manufacturing or logistics clients needing AI models tied to IoT sensor data, Retail computer-vision projects such as image classification or shelf monitoring
Typical project type Fixed project Fixed project

Tensorway vs Softweb Solutions: 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
Softweb Solutions
+ Ownership by Avnet (since December 2018) gives direct proximity to hardware and electronics supply chains for IoT-linked AI projects
+ Nearly two decades of operating history combining AI and IoT delivery
+ Named use cases in image classification and intelligent forecasting show concrete applied AI/ML work
+ Multi-country office presence (US, India) supports cost-flexible delivery
- Acquired by Avnet in 2018 — the company now operates as a subsidiary rather than an independent AI consultancy, which can affect contracting flexibility
- Public sources disagree on both founding year (2004 vs. 2006) and employee count (201–500 vs. 501–1,000)
- IoT-centric positioning may be less suited to buyers wanting purely software-based ML with no hardware/device component

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 Softweb Solutions?

A typical fit: manufacturing or logistics clients needing AI models tied to IoT sensor data.

Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects. Minimum engagement starts at Not published. Works best with clients in Manufacturing, Retail, Logistics.

Decision matrix: Tensorway vs Softweb Solutions

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 ($10K) vs Softweb Solutions (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 Tensorway

Use case fit: Tensorway vs Softweb Solutions

Use case Tensorway fit Softweb Solutions 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
Manufacturing or logistics clients needing AI models tied to IoT sensor data Limited Strong Softweb Solutions
Retail computer-vision projects such as image classification or shelf monitoring Limited Strong Softweb Solutions
Fixed-price build Strong Limited Tensorway
Staff augmentation Limited Limited Both equally

Verdict: Tensorway vs Softweb Solutions

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.

Softweb Solutions (3.9/5) is worth a look if you need retail computer-vision projects such as image classification or shelf monitoring. If your situation matches that, Softweb Solutions is a competitive option.

Related comparisons

Tensorway vs Softweb Solutions FAQ

Is Tensorway better than Softweb Solutions?

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. Softweb Solutions's strongest advantage: ownership by Avnet (since December 2018) gives direct proximity to hardware and electronics supply chains for IoT-linked AI projects.

How do Tensorway and Softweb Solutions differ in pricing?

Tensorway uses time & material, fixed-price poc, extended/dedicated team, and mvp development models pricing with a minimum engagement of $10K. Softweb Solutions uses fixed project and managed services 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 Softweb Solutions?

Softweb Solutions 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 Softweb Solutions?

Tensorway's primary differentiator is: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team. Softweb Solutions's primary differentiator is: backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects. They also differ in team size (51–200 vs 201–500), minimum engagement ($10K vs Not published), and primary industries served (Healthcare, Finance vs Manufacturing, Retail).