Tensorway vs Markovate: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.6/5) edges ahead of Markovate (4.1/5) overall. Tensorway is the better choice for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent.. Markovate is the stronger option for companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM).. 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, California, United States |
| Team size | 50–249 | 50–100 |
| Rating | 4.6 / 5 | 4.1 / 5 |
| Best for | Fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent. | Companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM). |
| Pricing model | Project-based, time & materials | Project-based, dedicated team |
| Min. engagement | $10,000+ | Not published |
| Primary tech stack | TensorFlow, PyTorch, OpenCV | LangChain, OpenAI API, Python |
| Industries served | FinTech, Healthcare, Retail & E-commerce, EdTech | Healthcare, Retail & E-commerce, FinTech, Travel & Hospitality |
Tensorway vs Markovate: overview
Tensorway
Tensorway was founded in 2019 as an AI-focused unit of Anadea, a 20+ year software development company, and had its public launch in 2023. Based in Alicante, Spain with a team in the 50–249 band (per Clutch), the firm delivers machine learning, deep learning, computer vision, and NLP projects for fintech, healthcare, retail, and edtech clients, with post-deployment model retraining and 24/7 support included in its engagement model. Because Tensorway operates as a spin-out rather than a fully independent company, prospective clients should confirm current ownership and delivery-team overlap with Anadea before signing.
Markovate
Markovate was founded in 2015 and is led by CEO Rajeev Sharma, an AI veteran with 18+ years of experience who previously led AI initiatives at AT&T and IBM. Headquartered with a San Francisco address (some sources cite Toronto as an operating base), the company has grown to roughly 51 employees, including 50+ engineers described as 'certified AI engineers' (per company website), delivering custom AI agents, chatbot development, and cloud services for healthcare, retail, fintech, SaaS, and travel clients. Its small team size makes it a boutique play best suited to scoped generative AI or agent projects rather than large-scale programs.
Services and capabilities: Tensorway vs Markovate
| Capability | Tensorway | Markovate |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✓ | ✗ |
| NLP | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: Tensorway vs Markovate
| Framework / platform | Tensorway | Markovate |
|---|---|---|
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | N/A | ✓ |
| LangChain | N/A | ✓ |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Tensorway vs Markovate
| Criterion | Tensorway | Markovate |
|---|---|---|
| Minimum engagement | $10,000+ | Not published |
| Engagement models | Project-based, Time & materials | Project-based, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Tensorway vs Markovate
| Dimension | Tensorway | Markovate |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Retail & E-commerce | Healthcare, Retail & E-commerce, FinTech |
| Best use cases | Fintech or healthcare startup needs a computer vision or NLP model built with ongoing retraining support., Retail company wants a boutique EU vendor instead of a large outsourcing firm for a scoped ML project. | Company wants an AI agent or chatbot built by a team led by a former enterprise AI executive., Healthcare or fintech startup needs a scoped generative AI project from a small, focused vendor. |
| Typical project type | Project-based | Project-based |
Tensorway vs Markovate: pros and cons
| Tensorway | |
|---|---|
| + | Backed by Anadea's 20+ years of software delivery experience, reducing the operational-risk profile typical of a 2019-founded firm. |
| + | Post-deployment model retraining and 24/7 support are included rather than sold as a separate line item. |
| + | $10,000+ minimum project size is accessible for mid-sized fintech and healthcare teams, not just large enterprises. |
| + | Focused service scope (ML, DL, computer vision, NLP) avoids the generalist sprawl of larger IT outsourcers. |
| - | As a unit spun out of Anadea in 2019 with a 2023 public launch, its independent track record is shorter than its 20-year parent-company narrative implies. |
| - | 50–249 employee band (per Clutch) is wide, making it hard to confirm how many staff are dedicated specifically to ML work. |
| - | Smaller public case-study footprint than larger regional peers like SoftServe or N-iX. |
| Markovate | |
|---|---|
| + | CEO's 18+ years leading AI initiatives at AT&T and IBM brings genuine enterprise AI leadership experience to client engagements. |
| + | Focused service scope (AI agents, chatbots, generative AI) rather than a broad, diluted general-consulting offering. |
| + | Serves a wide industry spread (healthcare to travel) despite small team size, suggesting adaptable delivery patterns. |
| - | At roughly 51 employees, capacity for multiple concurrent large engagements is limited. |
| - | HQ location is inconsistently reported (San Francisco vs. Toronto across sources) — confirm the contracting entity directly. |
| - | "50+ certified AI engineers" claim on a 51-person total headcount is a company claim worth verifying during vendor due diligence. |
Who should choose Tensorway?
Tensorway is the right choice for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent..
AI boutique backed by 20+ years of software delivery experience via parent company Anadea.. Minimum engagement starts at $10,000+. Works best with clients in FinTech, Healthcare, Retail & E-commerce, EdTech.
Who should choose Markovate?
Markovate is the right choice for companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM)..
CEO brings direct enterprise AI leadership experience (AT&T, IBM) rather than a purely technical or agency background.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail & E-commerce, FinTech, Travel & Hospitality.
Decision matrix: Tensorway vs Markovate
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Markovate |
| Your budget is at the lower end | Compare: Tensorway ($10,000+) vs Markovate (Not published) |
| You need specialist depth in a specific vertical | Tensorway |
| You need production MLOps support after model launch | Both offer MLOps support |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Tensorway vs Markovate
| Use case | Tensorway fit | Markovate fit | Winner |
|---|---|---|---|
| Fintech or healthcare startup needs a computer vision or NLP model built with ongoing retraining support. | Strong | Strong | Both equally |
| Retail company wants a boutique EU vendor instead of a large outsourcing firm for a scoped ML project. | Strong | Strong | Both equally |
| Company wants an AI agent or chatbot built by a team led by a former enterprise AI executive. | Strong | Strong | Both equally |
| Healthcare or fintech startup needs a scoped generative AI project from a small, focused vendor. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Strong | Limited | Tensorway |
Verdict: Tensorway vs Markovate
Tensorway (4.6/5) is the stronger overall choice for most Machine Learning Development projects. AI boutique backed by 20+ years of software delivery experience via parent company Anadea.. It is best for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent..
Markovate (4.1/5) is the better choice when companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM).. If your situation matches those criteria, Markovate is a competitive option.
Related comparisons
Tensorway vs Markovate FAQ
Is Tensorway better than Markovate?
Tensorway (4.6/5) scores higher overall, but "better" depends on your use case. Tensorway is better for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent.. Markovate is better for companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM)..
How do Tensorway and Markovate differ in pricing?
Tensorway uses project-based, time & materials pricing with a minimum engagement of $10,000+. Markovate uses project-based, dedicated team 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 Markovate?
Tensorway 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: ai boutique backed by 20+ years of software delivery experience via parent company anadea.. Markovate's primary differentiator is: ceo brings direct enterprise ai leadership experience (at&t, ibm) rather than a purely technical or agency background.. They also differ in team size (50–249 vs 50–100), minimum engagement ($10,000+ vs Not published), and primary industries served (FinTech, Healthcare vs Healthcare, Retail & E-commerce).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.