Cleveroad vs Andersen: full comparison for 2026
Quick verdict
Andersen (4.1/5) edges ahead of Cleveroad (4.0/5) overall. Andersen is the better choice for enterprises wanting generative AI paired with broad platform engineering. Cleveroad is the stronger option for startups needing generative AI inside a mobile or web product. The right choice depends on your project size, budget, and required tech stack.
Cleveroad vs Andersen: head-to-head summary
| Criterion | Cleveroad | Andersen |
|---|---|---|
| Founded | 2011 | 2007 |
| HQ | Krakow, Poland | Warsaw, Poland |
| Team size | 113-200 | 3,500+ |
| Rating | 4.0 / 5 | 4.1 / 5 |
| Primary differentiator | Production-deployment discipline carried over from a decade of mobile and web delivery | 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, OpenAI API, React Native | Python, OpenAI API, .NET |
| Industries served | Retail & e-commerce, Healthcare, Logistics | Financial services, Healthcare, Logistics, Automotive |
Cleveroad vs Andersen: overview
Cleveroad
Cleveroad has operated since 2011, though public sources disagree on headquarters, LinkedIn listing Claymont, Delaware while other trackers point to Krakow, Poland. Employee counts vary similarly, from roughly 113 up to a LinkedIn-reported 201-500. The firm's roots are in mobile and web development, with safe, production-grade generative AI deployment positioned as a newer strength built on that existing delivery discipline.
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: Cleveroad vs Andersen
| Capability | Cleveroad | Andersen |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✗ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Cleveroad vs Andersen
| Framework / platform | Cleveroad | Andersen |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Cleveroad vs Andersen
| Criterion | Cleveroad | 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: Cleveroad vs Andersen
| Dimension | Cleveroad | Andersen |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail & e-commerce, Healthcare, Logistics | Financial services, Healthcare, Logistics |
| Best use cases | Adding generative AI features to a mobile app already in production., Getting a startup MVP built with generative AI as one feature among several. | 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 |
Cleveroad vs Andersen: pros and cons
| Cleveroad | |
|---|---|
| + | Mobile and web development roots translate into disciplined production deployment practices. |
| + | Over a decade of delivery history across startup and enterprise clients. |
| + | Operates across four continents, giving flexible timezone coverage. |
| + | Generative AI positioned as an addition to, not a replacement for, established delivery skills. |
| - | Headquarters and employee count are reported inconsistently across public sources |
| - | AI-specific case studies are less prominent than the firm's mobile and web development portfolio |
| 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 Cleveroad?
A typical fit: adding generative AI features to a mobile app already in production.
Production-deployment discipline carried over from a decade of mobile and web delivery. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Healthcare, 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: Cleveroad vs Andersen
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Cleveroad |
| You need a large dedicated team for an ongoing programme | Cleveroad |
| Your budget is at the lower end | Compare: Cleveroad (Not disclosed) vs Andersen (Not disclosed) |
| You need specialist depth in a specific vertical | Andersen |
| 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: Cleveroad vs Andersen
| Use case | Cleveroad fit | Andersen fit | Winner |
|---|---|---|---|
| Adding generative AI features to a mobile app already in production. | Strong | Strong | Both equally |
| Getting a startup MVP built with generative AI as one feature among several. | Strong | Limited | Cleveroad |
| 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. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Cleveroad vs Andersen
Andersen (4.1/5) is the stronger overall choice for most Generative AI Development projects. 3,500-plus specialists across 20 global offices with a named AI and data practice.
Cleveroad (4.0/5) is worth a look if you need getting a startup MVP built with generative AI as one feature among several. If your situation matches that, Cleveroad is a competitive option.
Related comparisons
Cleveroad vs Andersen FAQ
Is Cleveroad better than Andersen?
Andersen (4.1/5) scores higher overall, but "better" depends on your use case. Cleveroad's strongest advantage: mobile and web development roots translate into disciplined production deployment practices. Andersen's strongest advantage: large global footprint (20 offices, 16 development centers) supports concurrent enterprise programs.
How do Cleveroad and Andersen differ in pricing?
Cleveroad 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: Cleveroad or Andersen?
Cleveroad 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 Cleveroad and Andersen?
Cleveroad's primary differentiator is: production-deployment discipline carried over from a decade of mobile and web delivery. 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 (113-200 vs 3,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail & e-commerce, Healthcare vs Financial services, Healthcare).
Verify all details directly with each company before making a decision.