Tensorway vs Markovate: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Markovate (4.0/5) overall. Tensorway is the better choice for teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps. Markovate is the stronger option for retail, travel, and fitness platforms needing ML-powered recommendation engines, dynamic pricing, or computer vision solutions backed by a 300+ project track record. 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 | Dallas, TX, USA |
| Team size | 28+ | 50–200 |
| Rating | 4.8 / 5 | 4.0 / 5 |
| Best for | Teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps | Retail, travel, and fitness platforms needing ML-powered recommendation engines, dynamic pricing, or computer vision solutions backed by a 300+ project track record |
| Pricing model | T&M, Fixed project, Dedicated team | Fixed project, T&M, Dedicated team |
| Min. engagement | $15K | $20K |
| Primary tech stack | TensorFlow, PyTorch, Keras | TensorFlow, PyTorch, Scikit-Learn |
| Industries served | healthcare, finance, retail, manufacturing, entertainment | retail, travel, fitness, SaaS, manufacturing |
Tensorway vs Markovate: overview
Tensorway
Tensorway is a machine learning development company founded in 2019 and headquartered in Alicante, Spain with additional offices in San Mateo, California. The company emerged from Anadea, a software firm with 25 years of delivery history, and operates as a dedicated ML practice with 28+ specialists spanning data science, ML engineering, MLOps, and QA. Tensorway delivers custom ML solutions across predictive analytics, NLP, computer vision, and LLM integration for clients in healthcare, finance, retail, and manufacturing. Listed among top AI companies in Spain by Clutch, The Manifest, GoodFirms, and TechBehemoths.
Markovate
Markovate is a machine learning and AI consulting agency headquartered in Dallas, Texas. Founded in 2015, the company has delivered 300+ ML projects across retail, travel, fitness, and SaaS sectors, with strength in recommendation engines, computer vision, predictive analytics, and dynamic pricing models. Markovate charges $50–$99 per hour for its services and specializes in consumer-facing ML applications where personalization and real-time inference drive business metrics.
Services and capabilities: Tensorway vs Markovate
| Capability | Tensorway | Markovate |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| ML consulting | ✓ | ✓ |
| Deep learning | ✓ | ✗ |
| NLP | ✓ | ✓ |
| Computer vision | ✓ | ✓ |
| MLOps | ✓ | ✗ |
| Predictive analytics | ✓ | ✓ |
| Generative AI | ✓ | ✓ |
| Data engineering | ✗ | ✗ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Tensorway vs Markovate
| Framework / platform | Tensorway | Markovate |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| Scikit-Learn | ✓ | ✓ |
| LangChain | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| GCP Vertex AI | N/A | N/A |
| Kubernetes | N/A | N/A |
| Apache Spark | N/A | N/A |
| MLflow | N/A | N/A |
Pricing comparison: Tensorway vs Markovate
| Criterion | Tensorway | Markovate |
|---|---|---|
| Minimum engagement | $15K | $20K |
| Engagement models | Fixed project, T&M, Dedicated team | Fixed project, T&M, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Tensorway vs Markovate
| Dimension | Tensorway | Markovate |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | healthcare, finance, retail | retail, travel, fitness |
| Best use cases | Custom predictive analytics model development and deployment to production, LLM integration and RAG pipeline development using LangChain or LlamaIndex | Recommendation engine development for e-commerce, travel, or media platforms, Dynamic pricing ML model for retail, hospitality, or airline fare optimization |
| Typical project type | Fixed project | Fixed project |
Tensorway vs Markovate: pros and cons
| Tensorway | |
|---|---|
| + | Entire team is dedicated to ML — no generalist staff repurposed from other practices |
| + | Covers the full ML lifecycle: strategy, data engineering, model development, deployment, and MLOps support |
| + | Strong LLM and generative AI capability with LangChain, LangGraph, and LlamaIndex in production |
| + | Multiple pricing models including fixed-price PoC development, making it accessible for early validation |
| + | Recognized independently by Clutch, GoodFirms, and TechBehemoths as a top AI company in Spain |
| + | Low minimum engagement ($15K) compared to US-equivalent boutiques with similar specialization depth |
| - | Smaller team of 28+ limits parallel capacity for very large-scale programmes requiring 50+ ML engineers simultaneously |
| - | Spain/California time zone split may require coordination effort for US East Coast clients |
| Markovate | |
|---|---|
| + | 300+ project delivery track record is verifiable evidence of consistent ML execution |
| + | Deep consumer-facing ML expertise in recommendation and personalization — a niche most firms claim but few demonstrate |
| + | Dynamic pricing and demand forecasting capability with retail and travel production deployments |
| + | Competitive hourly rates ($50–$99) with US-based account management |
| + | Generative AI integration alongside classical ML for hybrid solution architectures |
| - | Smaller team limits concurrent programme capacity for enterprise-scale workloads |
| - | Consumer-first focus means less depth in regulated industry ML (healthcare, fintech compliance) |
| - | Limited public enterprise reference clients compared to larger firms |
Who should choose Tensorway?
Tensorway is the right choice for teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps.
ML-only focus with a dedicated specialist team backed by 25 years of Anadea software delivery infrastructure — unusually deep for a firm of this size. Minimum engagement starts at $15K. Works best with clients in healthcare, finance, retail, manufacturing, entertainment.
Who should choose Markovate?
Markovate is the right choice for retail, travel, and fitness platforms needing ML-powered recommendation engines, dynamic pricing, or computer vision solutions backed by a 300+ project track record.
300+ delivered projects spanning recommendation systems, computer vision, and dynamic pricing, with deeper consumer-facing ML specialization than most comparably sized firms. Minimum engagement starts at $20K. Works best with clients in retail, travel, fitness, SaaS, manufacturing.
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 | Tensorway |
| 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 |
|---|---|---|---|
| Custom predictive analytics model development and deployment to production | Strong | Strong | Both equally |
| LLM integration and RAG pipeline development using LangChain or LlamaIndex | Strong | Limited | Tensorway |
| Recommendation engine development for e-commerce, travel, or media platforms | Limited | Strong | Markovate |
| Dynamic pricing ML model for retail, hospitality, or airline fare optimization | 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 Machine Learning Development projects. ML-only focus with a dedicated specialist team backed by 25 years of Anadea software delivery infrastructure — unusually deep for a firm of this size. It is best for teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps.
Markovate (4.0/5) is the better choice when retail, travel, and fitness platforms needing ML-powered recommendation engines, dynamic pricing, or computer vision solutions backed by a 300+ project track record. If your situation matches those criteria, Markovate is a competitive option.
Related comparisons
Tensorway vs Markovate FAQ
Is Tensorway better than Markovate?
Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway is better for teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps. Markovate is better for retail, travel, and fitness platforms needing ML-powered recommendation engines, dynamic pricing, or computer vision solutions backed by a 300+ project track record.
How do Tensorway and Markovate differ in pricing?
Tensorway uses t&m, fixed project, dedicated team pricing with a minimum engagement of $15K. Markovate uses fixed project, t&m, dedicated team pricing with a minimum engagement of $20K. 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: ml-only focus with a dedicated specialist team backed by 25 years of anadea software delivery infrastructure — unusually deep for a firm of this size. Markovate's primary differentiator is: 300+ delivered projects spanning recommendation systems, computer vision, and dynamic pricing, with deeper consumer-facing ml specialization than most comparably sized firms. They also differ in team size (28+ vs 50–200), minimum engagement ($15K vs $20K), and primary industries served (healthcare, finance vs retail, travel).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.