Best Generative AI Development Services

Tensorway vs Markovate: full comparison for 2026

Quick verdict

Tensorway (4.8/5) edges ahead of Markovate (4.5/5) overall. Tensorway is the better choice for regulated industries needing certified generative AI delivery. Markovate is the stronger option for founders wanting a generative AI-only product partner. The right choice depends on your project size, budget, and required tech stack.

Tensorway vs Markovate: head-to-head summary

Criterion Tensorway Markovate
Founded 2019 2015
HQ Alicante, Spain San Francisco, United States
Team size 20-50 51-200
Rating 4.8 / 5 4.5 / 5
Primary differentiator Documented GDPR, HIPAA, ISO 9001, and ISO 27001 compliance on every generative AI build AI-exclusive focus dating to 2015, ahead of the current generative AI cycle
Pricing model Fixed-scope project, dedicated team, or paid discovery phase Fixed project or dedicated team
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, PyTorch, TensorFlow Python, PyTorch, OpenAI API
Industries served Legal, Private equity & finance, E-learning, Sports & media Fintech, Healthcare, Retail & e-commerce, Logistics

Tensorway vs Markovate: overview

Tensorway

Tensorway is a standalone generative AI unit that a longer-running Alicante, Spain software house spun up in 2019 rather than folding the work into its existing generalist teams. The team stays deliberately small, roughly 20-50 deep learning architects, MLOps engineers, ML engineers, and QAs, and documents every engagement against GDPR, HIPAA, ISO 9001, and ISO 27001, a compliance bar few generative AI specialists on this list publish. Recent generative AI work includes an agentic essay-grading tutor for an Australian e-learning company, a legal document automation agent reported at roughly 90% accuracy for a US law practice (per company website; independently unverifiable), and a deal-sourcing agent built for a Swedish private equity firm.

Markovate

Markovate has run as an AI-only agency out of San Francisco since 2015, with a team in the 51-200 range under co-founder Rajeev Sharma. Its decade of case studies has stayed centered on generative AI and machine learning product work specifically, predating the current wave of firms rebranding around large language models. That narrow focus trades breadth for depth: clients get a generative AI specialist, not a full-service development partner handling every kind of project.

Services and capabilities: Tensorway vs Markovate

Capability Tensorway Markovate
Generative AI
Machine learning
AI agents
MLOps
AI consulting
Fixed-price projects
Dedicated team model

Tech stack comparison: Tensorway vs Markovate

Framework / platform Tensorway Markovate
Python
OpenAI API N/A
PyTorch
LangChain
AWS
Azure N/A N/A
Kubernetes N/A

Pricing comparison: Tensorway vs Markovate

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

Target audience comparison: Tensorway vs Markovate

Dimension Tensorway Markovate
Best company size Startup to mid-market Startup to mid-market
Best industries Legal, Private equity & finance, E-learning Fintech, Healthcare, Retail & e-commerce
Best use cases Automating a compliance-sensitive manual process with generative AI in legal, finance, or healthcare., Needing a generative AI partner that documents its own compliance posture rather than just claiming it. Turning a generative AI concept into a shipped product with a small, senior team., Getting a fast generative AI prototype built before deciding on an in-house hire.
Typical project type Fixed project Fixed project

Tensorway vs Markovate: pros and cons

Tensorway
+ Certified against GDPR, HIPAA, ISO 9001, and ISO 27001 as standard on generative AI work.
+ AI-only unit avoids the diluted focus of a generalist firm running generative AI as a side practice.
+ Draws on its parent company's 25-year delivery track record without losing generative AI specialization.
+ Transfers full IP ownership to the client at project close.
+ Ships an initial working prototype within weeks based on documented case work.
- A 20-50 person team caps parallel capacity for very large enterprise rollouts
- Case studies published so far lean toward early-production scale, not massive deployments
Markovate
+ Ten years of AI-only positioning predates most competitors' generative AI pivot.
+ Based in San Francisco, close to the model providers it integrates most often.
+ Willing to take direct founder calls rather than routing through account management layers.
+ Case studies describe shipped generative AI products rather than proof-of-concept demos.
- Team size limits how many large concurrent engagements the agency can realistically run
- No published minimum engagement figure to budget against upfront

Who should choose Tensorway?

A typical fit: automating a compliance-sensitive manual process with generative AI in legal, finance, or healthcare.

Documented GDPR, HIPAA, ISO 9001, and ISO 27001 compliance on every generative AI build. Minimum engagement is not publicly disclosed. Works best with clients in Legal, Private equity & finance, E-learning, Sports & media.

Who should choose Markovate?

A typical fit: turning a generative AI concept into a shipped product with a small, senior team.

AI-exclusive focus dating to 2015, ahead of the current generative AI cycle. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce, Logistics.

Decision matrix: Tensorway vs Markovate

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 Markovate (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 Markovate

Use case Tensorway fit Markovate fit Winner
Automating a compliance-sensitive manual process with generative AI in legal, finance, or healthcare. Strong Limited Tensorway
Needing a generative AI partner that documents its own compliance posture rather than just claiming it. Strong Limited Tensorway
Turning a generative AI concept into a shipped product with a small, senior team. Limited Strong Markovate
Getting a fast generative AI prototype built before deciding on an in-house hire. Limited Strong Markovate
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: Tensorway vs Markovate

Tensorway (4.8/5) is the stronger overall choice for most Generative AI Development projects. Documented GDPR, HIPAA, ISO 9001, and ISO 27001 compliance on every generative AI build.

Markovate (4.5/5) is worth a look if you need getting a fast generative AI prototype built before deciding on an in-house hire. If your situation matches that, Markovate is a competitive option.

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Tensorway vs Markovate FAQ

Is Tensorway better than Markovate?

Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: certified against GDPR, HIPAA, ISO 9001, and ISO 27001 as standard on generative AI work. Markovate's strongest advantage: ten years of AI-only positioning predates most competitors' generative AI pivot.

How do Tensorway and Markovate differ in pricing?

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

Which is better for enterprise: Tensorway or Markovate?

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

What are the main differences between Tensorway and Markovate?

Tensorway's primary differentiator is: documented GDPR, HIPAA, ISO 9001, and ISO 27001 compliance on every generative AI build. Markovate's primary differentiator is: AI-exclusive focus dating to 2015, ahead of the current generative AI cycle. They also differ in team size (20-50 vs 51-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Legal, Private equity & finance vs Fintech, Healthcare).

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