Markovate vs Growexx: full comparison for 2026
Quick verdict
Markovate (4.6/5) edges ahead of Growexx (3.9/5) overall. Markovate is the better choice for founders wanting an AI-only product partner. Growexx is the stronger option for startups wanting fast-growing engineering capacity with AI. The right choice depends on your project size, budget, and required tech stack.
Markovate vs Growexx: head-to-head summary
| Criterion | Markovate | Growexx |
|---|---|---|
| Founded | 2015 | 2020 |
| HQ | San Francisco, United States | Ahmedabad, India |
| Team size | 51-200 | 240-260 |
| Rating | 4.6 / 5 | 3.9 / 5 |
| Primary differentiator | AI-exclusive focus dating to 2015, ahead of the current generative AI cycle | Younger, fast-scaling team actively expanding a dedicated AI division |
| Pricing model | Fixed project or dedicated team | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, PyTorch, OpenAI API | Python, AWS, Node.js |
| Industries served | Fintech, Healthcare, Retail & e-commerce, Logistics | SaaS, Fintech, Retail & e-commerce |
Markovate vs Growexx: overview
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. Rather than adding generative AI to an existing service list, the agency's decade of case studies has stayed centered on AI and machine learning product work specifically, which shows in how directly its team speaks to model choices and trade-offs rather than generic delivery language. That narrow focus trades breadth for depth: clients get an AI specialist, not a full-service development partner.
Growexx
Growexx was founded in 2020 by Vikas Agarwaal and Ruchit Jani and is based in Ahmedabad, India, with a headcount reported between roughly 240 and 260 employees. As one of the younger agencies on this list, Growexx built its practice around product engineering with machine learning and data engineering woven in rather than carrying years of AI-specific case studies. A separate, more recently reported entity called Growexx AI Solutions suggests active investment in expanding this side of the business.
Services and capabilities: Markovate vs Growexx
| Capability | Markovate | Growexx |
|---|---|---|
| Generative AI | ✓ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Markovate vs Growexx
| Framework / platform | Markovate | Growexx |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Markovate vs Growexx
| Criterion | Markovate | Growexx |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Markovate vs Growexx
| Dimension | Markovate | Growexx |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail & e-commerce | SaaS, Fintech, Retail & e-commerce |
| Best use cases | Turning a generative AI concept into a shipped product with a small, senior team., Getting a fast prototype built before deciding on an in-house AI hire. | Working with a fast-growing team on a startup product that needs both engineering and ML capacity., Getting product engineering and machine learning from one team as a company scales quickly. |
| Typical project type | Fixed project | Fixed project |
Markovate vs Growexx: pros and cons
| 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 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 |
| Growexx | |
|---|---|
| + | Rapid headcount growth since 2020 suggests strong client demand and reinvestment. |
| + | Actively expanding a dedicated AI division, evidenced by the separate Growexx AI Solutions entity. |
| + | Founder-led team still closely involved at this stage of growth. |
| + | Competitive Ahmedabad-based delivery pricing. |
| - | Founded in 2020, so has less AI-specific track record than most agencies on this list |
| - | Public information on named AI client projects is limited so far |
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.
Who should choose Growexx?
A typical fit: working with a fast-growing team on a startup product that needs both engineering and ML capacity.
Younger, fast-scaling team actively expanding a dedicated AI division. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, Retail & e-commerce.
Decision matrix: Markovate vs Growexx
| 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 Growexx (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 | Both may offer discovery engagements |
Use case fit: Markovate vs Growexx
| Use case | Markovate fit | Growexx fit | Winner |
|---|---|---|---|
| Turning a generative AI concept into a shipped product with a small, senior team. | Strong | Limited | Markovate |
| Getting a fast prototype built before deciding on an in-house AI hire. | Strong | Strong | Both equally |
| Working with a fast-growing team on a startup product that needs both engineering and ML capacity. | Limited | Strong | Growexx |
| Getting product engineering and machine learning from one team as a company scales quickly. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Markovate vs Growexx
Markovate (4.6/5) is the stronger overall choice for most AI Development projects. AI-exclusive focus dating to 2015, ahead of the current generative AI cycle.
Growexx (3.9/5) is worth a look if you need getting product engineering and machine learning from one team as a company scales quickly. If your situation matches that, Growexx is a competitive option.
Related comparisons
Markovate vs Growexx FAQ
Is Markovate better than Growexx?
Markovate (4.6/5) scores higher overall, but "better" depends on your use case. Markovate's strongest advantage: ten years of AI-only positioning predates most competitors' generative AI pivot. Growexx's strongest advantage: rapid headcount growth since 2020 suggests strong client demand and reinvestment.
How do Markovate and Growexx differ in pricing?
Markovate uses fixed project or dedicated team pricing. Growexx 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: Markovate or Growexx?
Growexx is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Markovate and Growexx?
Markovate's primary differentiator is: AI-exclusive focus dating to 2015, ahead of the current generative AI cycle. Growexx's primary differentiator is: Younger, fast-scaling team actively expanding a dedicated AI division. They also differ in team size (51-200 vs 240-260), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs SaaS, Fintech).
Verify all details directly with each agency before making a decision.