Azumo vs Netguru: full comparison for 2026
Quick verdict
Azumo (4.5/5) edges ahead of Netguru (4.0/5) overall. Azumo is the better choice for startups adding GenAI engineers on U.S. hours. Netguru is the stronger option for consumer brands adding AI to digital products. The right choice depends on your project size, budget, and required tech stack.
Azumo vs Netguru: head-to-head summary
| Criterion | Azumo | Netguru |
|---|---|---|
| Founded | 2016 | 2008 |
| HQ | San Francisco, USA | Poznań, Poland |
| Team size | 100–249 | 500–999 |
| Rating | 4.5 / 5 | 4.0 / 5 |
| Primary differentiator | Nearshore staffing with a hiring focus on GenAI and agent roles | Design and product talent alongside AI engineers |
| Pricing model | Monthly per engineer; dedicated team; project-based; rates on request | Time and materials; team augmentation; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | OpenAI, LangChain, Hugging Face | Python, OpenAI, LangChain |
| Industries served | SaaS, Fintech, Healthcare, Media | Retail and e-commerce, Fintech, Proptech, Mobility |
Azumo vs Netguru: overview
Azumo
Azumo was founded in San Francisco in 2016 by former investment banker Chike Agbai, whose first client was Twitter. Its engineers are based in more than 20 Latin American countries and work U.S. hours. The company sells three formats: staff augmentation alongside an existing team, dedicated teams, and project delivery, and its recent hiring is weighted toward generative-AI, agent and forward-deployed engineering roles. Headcount estimates range from about 80 to just over 100 depending on the source.
Netguru
Netguru was founded in 2008 and is based in Poznań, Poland, with 500–999 employees according to several directories. It is a certified B Corporation whose clients include IKEA, Volkswagen, OLX and Vinted. Staff augmentation and delivery centers are listed among its engagement models, and AI development is part of its service line next to mobile, web and design work.
Services and capabilities: Azumo vs Netguru
| Capability | Azumo | Netguru |
|---|---|---|
| LLM / GenAI engineers | ✓ | ✓ |
| MLOps & deployment | ✗ | ✗ |
| Computer vision | ✗ | ✗ |
| Data engineering | ✗ | ✗ |
| AI agent development | ✓ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Risk-free trial period | ✗ | ✗ |
| Nearshore time-zone overlap | ✓ | ✗ |
Tech stack comparison: Azumo vs Netguru
| Framework / platform | Azumo | Netguru |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | ✓ |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | ✓ | N/A |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Azumo vs Netguru
| Criterion | Azumo | Netguru |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Azumo vs Netguru
| Dimension | Azumo | Netguru |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | Retail and e-commerce, Fintech, Proptech |
| Best use cases | Adding an LLM engineer to ship a first GenAI feature, Hiring an agent developer to prototype internal automation | Adding an LLM feature team to a consumer app, Augmenting a retailer's digital team with GenAI and design skills |
| Typical project type | Full-time dedicated engineers | Dedicated team |
Azumo vs Netguru: pros and cons
| Azumo | |
|---|---|
| + | Hiring pattern shows real investment in LLM and agent engineering, beyond generic web developers |
| + | No long-term commitment required for augmentation seats |
| + | U.S. time zones and a U.S.-based management team |
| + | Small enough that founders and senior staff stay involved in client accounts |
| - | Headcount is modest, so very large teams may take longer to assemble |
| - | Public detail on how candidates are technically screened is thin |
| - | No published rates |
| Netguru | |
|---|---|
| + | Well-known enterprise and consumer client list |
| + | Product designers and engineers can join together |
| + | B Corp certification may matter to ESG-focused buyers |
| - | AI is a newer service line within a product agency |
| - | Agency rates sit at the higher end for Poland |
| - | Less suited to single-seat ML hires |
Who should choose Azumo?
A typical fit: adding an LLM engineer to ship a first GenAI feature.
Nearshore staffing with a hiring focus on GenAI and agent roles. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, Healthcare, Media.
Who should choose Netguru?
A typical fit: adding an LLM feature team to a consumer app.
Design and product talent alongside AI engineers. Minimum engagement is not publicly disclosed. Works best with clients in Retail and e-commerce, Fintech, Proptech, Mobility.
Decision matrix: Azumo vs Netguru
| 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 | Azumo |
| Your budget is at the lower end | Compare: Azumo (Not disclosed) vs Netguru (Not disclosed) |
| You need specialist depth in a specific vertical | Azumo |
| 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: Azumo vs Netguru
| Use case | Azumo fit | Netguru fit | Winner |
|---|---|---|---|
| Adding an LLM engineer to ship a first GenAI feature | Strong | Strong | Both equally |
| Hiring an agent developer to prototype internal automation | Strong | Limited | Azumo |
| Adding an LLM feature team to a consumer app | Strong | Strong | Both equally |
| Augmenting a retailer's digital team with GenAI and design skills | Limited | Strong | Netguru |
Verdict: Azumo vs Netguru
Azumo (4.5/5) is the stronger overall choice for most AI Staffing projects. Nearshore staffing with a hiring focus on GenAI and agent roles.
Netguru (4.0/5) is worth a look if you need augmenting a retailer's digital team with GenAI and design skills. If your situation matches that, Netguru is a competitive option.
Related comparisons
Azumo vs Netguru FAQ
Is Azumo better than Netguru?
Azumo (4.5/5) scores higher overall, but "better" depends on your use case. Azumo's strongest advantage: hiring pattern shows real investment in LLM and agent engineering, beyond generic web developers. Netguru's strongest advantage: well-known enterprise and consumer client list.
How do Azumo and Netguru differ in pricing?
Azumo uses monthly per engineer; dedicated team; project-based; rates on request pricing. Netguru uses time and materials; team augmentation; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Azumo or Netguru?
Netguru 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 Azumo and Netguru?
Azumo's primary differentiator is: nearshore staffing with a hiring focus on GenAI and agent roles. Netguru's primary differentiator is: design and product talent alongside AI engineers. They also differ in team size (100–249 vs 500–999), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (SaaS, Fintech vs Retail and e-commerce, Fintech).
Verify all details directly with each agency before making a decision.