Best AI Development Firms

Markovate vs Tensorway: full comparison for 2026

Quick verdict

Markovate (4.6/5) edges ahead of Tensorway (4.5/5) overall. Markovate is the better choice for founders wanting an AI-only product partner. Tensorway is the stronger option for teams that need compliance-certified AI delivery. The right choice depends on your project size, budget, and required tech stack.

Markovate vs Tensorway: head-to-head summary

Criterion Markovate Tensorway
Founded 2015 2019
HQ San Francisco, United States Alicante, Spain
Team size 51-200 20-50
Rating 4.6 / 5 4.5 / 5
Primary differentiator AI-exclusive focus since 2015, predating the current generative AI surge Compliance certification (GDPR, HIPAA, ISO 9001, ISO 27001) as standard, not an add-on
Pricing model Fixed project or dedicated team Fixed-scope project, dedicated team, or paid discovery phase
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, PyTorch, OpenAI API Python, PyTorch, TensorFlow
Industries served Fintech, Healthcare, Retail & e-commerce, Logistics Legal, Private equity & finance, E-learning, Sports & media

Markovate vs Tensorway: overview

Markovate

Markovate has stayed narrowly focused on AI and machine learning product work since founding in 2015, running a team in the 51-200 range out of San Francisco. Co-founder Rajeev Sharma built the firm around shipping AI products end to end rather than staffing generic development teams, which shows in how consistently its case studies center on generative AI and applied ML rather than a broader software portfolio. That narrowness is a trade-off: less flexibility for non-AI work, more depth on the thing it actually does.

Tensorway

Every project Tensorway ships is built to GDPR, HIPAA, ISO 9001, and ISO 27001 standards, which is a stricter bar than most AI vendors on this list volunteer to meet. The unit was carved out in 2019 from a longer-running Alicante, Spain software house with roughly 25 years of prior delivery history, and it kept its team narrow and specialized: deep learning architects, MLOps engineers, ML engineers, and QAs, with roughly 20-50 people total working on AI specifically rather than a slice of a much larger generalist staff. Documented work includes an agentic essay-grading tutor for an Australian e-learning company, a legal document automation agent reported at around 90% accuracy for a US law practice (per company website; independently unverifiable), and a deal-sourcing agent built for a Swedish private equity firm.

Services and capabilities: Markovate vs Tensorway

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

Tech stack comparison: Markovate vs Tensorway

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

Pricing comparison: Markovate vs Tensorway

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

Target audience comparison: Markovate vs Tensorway

Dimension Markovate Tensorway
Best company size Startup to mid-market Startup to mid-market
Best industries Fintech, Healthcare, Retail & e-commerce Legal, Private equity & finance, E-learning
Best use cases Turning a generative AI idea into a working product with a small, senior team., Getting a fast prototype built before deciding whether to hire in-house AI engineers. Automating a document-heavy manual process in a regulated industry like legal or finance., Needing an AI vendor that can produce compliance documentation alongside the technical delivery.
Typical project type Fixed project Fixed project

Markovate vs Tensorway: pros and cons

Markovate
+ Ten years of AI-only positioning, well before generative AI became the default pitch for every dev firm.
+ San Francisco location keeps the team close to the model providers it works with most.
+ Comfortable taking founder calls directly rather than routing everything through account management.
+ Case studies describe shipped products, not proof-of-concept demos.
- Team size is small relative to the enterprise generalists on this list, which limits very large concurrent programs
- No public minimum engagement figure to plan a budget against upfront
Tensorway
+ Certified against four separate compliance standards, unusual for a team of this size.
+ AI-only unit rather than a generalist firm treating AI as one more service line.
+ Inherits its parent company's 25 years of software delivery infrastructure without diluting its AI focus.
+ Transfers full IP ownership to the client once a project closes.
+ Delivers a working prototype within weeks, based on its documented case studies.
- Team of 20-50 restricts how many mid-to-large engagements can run in parallel
- Published case studies lean toward early-production scale rather than large enterprise rollouts

Who should choose Markovate?

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

AI-exclusive focus since 2015, predating the current generative AI surge. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce, Logistics.

Who should choose Tensorway?

A typical fit: automating a document-heavy manual process in a regulated industry like legal or finance.

Compliance certification (GDPR, HIPAA, ISO 9001, ISO 27001) as standard, not an add-on. Minimum engagement is not publicly disclosed. Works best with clients in Legal, Private equity & finance, E-learning, Sports & media.

Decision matrix: Markovate vs Tensorway

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Markovate
You need a large dedicated team for an ongoing programme Markovate
Your budget is at the lower end Compare: Markovate (Not disclosed) vs Tensorway (Not disclosed)
You need specialist depth in a specific vertical Markovate
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: Markovate vs Tensorway

Use case Markovate fit Tensorway fit Winner
Turning a generative AI idea into a working product with a small, senior team. Strong Limited Markovate
Getting a fast prototype built before deciding whether to hire in-house AI engineers. Strong Limited Markovate
Automating a document-heavy manual process in a regulated industry like legal or finance. Limited Strong Tensorway
Needing an AI vendor that can produce compliance documentation alongside the technical delivery. Limited Strong Tensorway
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: Markovate vs Tensorway

Markovate (4.6/5) is the stronger overall choice for most AI Development projects. AI-exclusive focus since 2015, predating the current generative AI surge.

Tensorway (4.5/5) is worth a look if you need needing an AI vendor that can produce compliance documentation alongside the technical delivery. If your situation matches that, Tensorway is a competitive option.

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Markovate vs Tensorway FAQ

Is Markovate better than Tensorway?

Markovate (4.6/5) scores higher overall, but "better" depends on your use case. Markovate's strongest advantage: ten years of AI-only positioning, well before generative AI became the default pitch for every dev firm. Tensorway's strongest advantage: certified against four separate compliance standards, unusual for a team of this size.

How do Markovate and Tensorway differ in pricing?

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

Which is better for enterprise: Markovate or Tensorway?

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 firm before shortlisting.

What are the main differences between Markovate and Tensorway?

Markovate's primary differentiator is: AI-exclusive focus since 2015, predating the current generative AI surge. Tensorway's primary differentiator is: compliance certification (GDPR, HIPAA, ISO 9001, ISO 27001) as standard, not an add-on. They also differ in team size (51-200 vs 20-50), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs Legal, Private equity & finance).

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