Best Generative AI Consulting Firms

Tensorway vs Infosys: full comparison for 2026

Quick verdict

Tensorway (4.7/5) edges ahead of Infosys (4.0/5) overall. Tensorway is the better choice for buyers who want generative AI advice grounded in feasibility, not hype. Infosys is the stronger option for global enterprises needing generative AI consulting inside a full IT services contract. The right choice depends on your project size, budget, and required tech stack.

Tensorway vs Infosys: head-to-head summary

Criterion Tensorway Infosys
Founded 2019 1981
HQ Alicante, Spain Bengaluru, India
Team size 20-50 330,000+
Rating 4.7 / 5 4.0 / 5
Primary differentiator An 11-step feasibility-first methodology built specifically to separate real generative AI use cases from speculative ones One of the world's largest IT services firms with a dedicated London-based consulting arm
Pricing model Fixed-scope project, dedicated team, or paid discovery phase Retainer, enterprise contracting
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, PyTorch, TensorFlow Python, AWS, Azure
Industries served Legal, Private equity & finance, E-learning, Sports & media Financial services, Manufacturing, Retail & e-commerce, Telecom

Tensorway vs Infosys: overview

Tensorway

Tensorway split off in 2019 from a longer-running Alicante, Spain software house with roughly 25 years of prior delivery history, and now runs a standalone team of 20-50 deep learning architects, MLOps engineers, ML engineers, and QAs. Its generative AI consulting work follows a documented 11-step process, from challenge understanding and data profiling through feasibility study and model validation, with a stated goal that cuts through a lot of generative AI marketing noise: finding use cases with a real return, not the ones that just sound impressive in a demo.

Infosys

Infosys was founded in 1981 and is headquartered in Bengaluru, India, employing approximately 330,429 people worldwide as of March 2026. The company delivers enterprise generative AI consulting services, and its wholly-owned subsidiary Infosys Consulting, founded in 2004, is headquartered in London, adding a dedicated strategy layer distinct from the parent's larger delivery organization.

Services and capabilities: Tensorway vs Infosys

Capability Tensorway Infosys
AI strategy consulting
Generative AI
Machine learning
Data engineering
MLOps
Fixed-price projects
Dedicated team model

Tech stack comparison: Tensorway vs Infosys

Framework / platform Tensorway Infosys
Python
AWS
Azure N/A
Google Cloud
Kubernetes
LangChain N/A
PyTorch N/A

Pricing comparison: Tensorway vs Infosys

Criterion Tensorway Infosys
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed project, Dedicated team, Discovery phase Retainer, Dedicated team
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Tensorway vs Infosys

Dimension Tensorway Infosys
Best company size Startup to mid-market Startup to mid-market
Best industries Legal, Private equity & finance, E-learning Financial services, Manufacturing, Retail & e-commerce
Best use cases Wanting a generative AI readiness assessment that leads directly into implementation with the same team., Auditing a generative AI system already in production that isn't performing as promised. Running a generative AI consulting initiative as part of a much larger enterprise IT services contract., Needing a globally recognized vendor for board-level procurement approval.
Typical project type Fixed project Retainer

Tensorway vs Infosys: pros and cons

Tensorway
+ Strategy and implementation stay with the same team, closing the handoff gap that shows up when a consultancy hands a generative AI roadmap to a separate build vendor.
+ A published, feasibility-first methodology gives buyers something concrete to interrogate during vetting, rather than a generic 'generative AI transformation' pitch.
+ GDPR, HIPAA, ISO 9001, and ISO 27001 certification is standard.
+ Backed by its parent company's 25-year delivery infrastructure while staying generative-AI-focused.
+ Recognized by Clutch, PMI, Fortune, and Manifest, per the firm's own materials.
- A 20-50 person team caps how many large generative AI programs can run in parallel
- No published pricing tiers, so a real budget number only comes after a scoping conversation
Infosys
+ Massive global scale (330,000-plus employees) supports the largest enterprise generative AI programs.
+ Dedicated Infosys Consulting subsidiary adds a London-based strategy layer.
+ Four decades of operating history and deep enterprise procurement relationships.
+ Broad cloud and enterprise software partnerships reduce platform risk.
- Generative AI consulting is one part of an enormous general IT services business, not a specialized focus
- Scale typically means slower engagement setup than smaller, more agile firms

Who should choose Tensorway?

A typical fit: wanting a generative AI readiness assessment that leads directly into implementation with the same team.

An 11-step feasibility-first methodology built specifically to separate real generative AI use cases from speculative ones. Minimum engagement is not publicly disclosed. Works best with clients in Legal, Private equity & finance, E-learning, Sports & media.

Who should choose Infosys?

A typical fit: running a generative AI consulting initiative as part of a much larger enterprise IT services contract.

One of the world's largest IT services firms with a dedicated London-based consulting arm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Telecom.

Decision matrix: Tensorway vs Infosys

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 (Not disclosed) vs Infosys (Not disclosed)
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 Infosys

Use case Tensorway fit Infosys fit Winner
Wanting a generative AI readiness assessment that leads directly into implementation with the same team. Strong Limited Tensorway
Auditing a generative AI system already in production that isn't performing as promised. Strong Limited Tensorway
Running a generative AI consulting initiative as part of a much larger enterprise IT services contract. Limited Strong Infosys
Needing a globally recognized vendor for board-level procurement approval. Limited Strong Infosys
Fixed-price project Limited Limited Both equally
Dedicated team model Limited Limited Both equally

Verdict: Tensorway vs Infosys

Tensorway (4.7/5) is the stronger overall choice for most Generative AI Consulting projects. An 11-step feasibility-first methodology built specifically to separate real generative AI use cases from speculative ones.

Infosys (4.0/5) is worth a look if you need needing a globally recognized vendor for board-level procurement approval. If your situation matches that, Infosys is a competitive option.

Related comparisons

Tensorway vs Infosys FAQ

Is Tensorway better than Infosys?

Tensorway (4.7/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: strategy and implementation stay with the same team, closing the handoff gap that shows up when a consultancy hands a generative AI roadmap to a separate build vendor. Infosys's strongest advantage: massive global scale (330,000-plus employees) supports the largest enterprise generative AI programs.

How do Tensorway and Infosys differ in pricing?

Tensorway uses fixed-scope project, dedicated team, or paid discovery phase pricing. Infosys uses retainer, enterprise contracting pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Tensorway or Infosys?

Infosys is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each firm before shortlisting.

What are the main differences between Tensorway and Infosys?

Tensorway's primary differentiator is: an 11-step feasibility-first methodology built specifically to separate real generative AI use cases from speculative ones. Infosys's primary differentiator is: one of the world's largest IT services firms with a dedicated London-based consulting arm. They also differ in team size (20-50 vs 330,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Legal, Private equity & finance vs Financial services, Manufacturing).

Verify all details directly with each firm before making a decision.