Markovate vs Andersen: full comparison for 2026
Quick verdict
Markovate (4.5/5) edges ahead of Andersen (4.1/5) overall. Markovate is the better choice for founders wanting a generative AI-only product partner. Andersen is the stronger option for enterprises wanting generative AI paired with broad platform engineering. The right choice depends on your project size, budget, and required tech stack.
Markovate vs Andersen: head-to-head summary
| Criterion | Markovate | Andersen |
|---|---|---|
| Founded | 2015 | 2007 |
| HQ | San Francisco, United States | Warsaw, Poland |
| Team size | 51-200 | 3,500+ |
| Rating | 4.5 / 5 | 4.1 / 5 |
| Primary differentiator | AI-exclusive focus dating to 2015, ahead of the current generative AI cycle | 3,500-plus specialists across 20 global offices with a named AI and data practice |
| Pricing model | Fixed project or dedicated team | Dedicated team or retainer |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, PyTorch, OpenAI API | Python, OpenAI API, .NET |
| Industries served | Fintech, Healthcare, Retail & e-commerce, Logistics | Financial services, Healthcare, Logistics, Automotive |
Markovate vs Andersen: 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. 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.
Andersen
Andersen was founded in 2007 and lists its headquarters in Warsaw, Poland, with more than 3,500 specialists across 20 office locations and 16 development centers globally. Its named AI and data practice covers generative AI consulting, machine learning, data engineering, and robotic process integration, alongside a broader stack spanning .NET, Java, Python, PHP, and Go. Industries served include financial services, healthcare, logistics, automotive, and media.
Services and capabilities: Markovate vs Andersen
| Capability | Markovate | Andersen |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✗ |
| AI agents | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Markovate vs Andersen
| Framework / platform | Markovate | Andersen |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| LangChain | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Markovate vs Andersen
| Criterion | Markovate | Andersen |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Dedicated team, Retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Markovate vs Andersen
| Dimension | Markovate | Andersen |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail & e-commerce | Financial services, Healthcare, Logistics |
| Best use cases | 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. | Running a generative AI initiative that needs to plug into an existing multi-technology enterprise stack., Adding robotic process integration alongside a generative AI project. |
| Typical project type | Fixed project | Dedicated team |
Markovate vs Andersen: 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 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 |
| Andersen | |
|---|---|
| + | Large global footprint (20 offices, 16 development centers) supports concurrent enterprise programs. |
| + | Named AI and data practice, not a generic add-on to broader software services. |
| + | Nearly two decades of software delivery history across multiple technology stacks. |
| + | Vertical coverage spans financial services, healthcare, logistics, and automotive. |
| - | Generative AI is one practice area within a much larger, multi-stack engineering business |
| - | Scale typically means a more formal sales and onboarding process than boutique firms |
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 Andersen?
A typical fit: running a generative AI initiative that needs to plug into an existing multi-technology enterprise stack.
3,500-plus specialists across 20 global offices with a named AI and data practice. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Logistics, Automotive.
Decision matrix: Markovate vs Andersen
| 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 Andersen (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 | Andersen |
Use case fit: Markovate vs Andersen
| Use case | Markovate fit | Andersen fit | Winner |
|---|---|---|---|
| Turning a generative AI concept into a shipped product with a small, senior team. | Strong | Limited | Markovate |
| Getting a fast generative AI prototype built before deciding on an in-house hire. | Strong | Limited | Markovate |
| Running a generative AI initiative that needs to plug into an existing multi-technology enterprise stack. | Limited | Strong | Andersen |
| Adding robotic process integration alongside a generative AI project. | Limited | Strong | Andersen |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Markovate vs Andersen
Markovate (4.5/5) is the stronger overall choice for most Generative AI Development projects. AI-exclusive focus dating to 2015, ahead of the current generative AI cycle.
Andersen (4.1/5) is worth a look if you need adding robotic process integration alongside a generative AI project. If your situation matches that, Andersen is a competitive option.
Related comparisons
Markovate vs Andersen FAQ
Is Markovate better than Andersen?
Markovate (4.5/5) 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. Andersen's strongest advantage: large global footprint (20 offices, 16 development centers) supports concurrent enterprise programs.
How do Markovate and Andersen differ in pricing?
Markovate uses fixed project or dedicated team pricing. Andersen uses dedicated team or retainer pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Markovate or Andersen?
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 Markovate and Andersen?
Markovate's primary differentiator is: AI-exclusive focus dating to 2015, ahead of the current generative AI cycle. Andersen's primary differentiator is: 3,500-plus specialists across 20 global offices with a named AI and data practice. They also differ in team size (51-200 vs 3,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs Financial services, Healthcare).
Verify all details directly with each company before making a decision.