InData Labs vs Azumo: full comparison for 2026
Quick verdict
InData Labs (4.4/5) edges ahead of Azumo (3.9/5) overall. InData Labs is the better choice for product teams that need a computer-vision or NLP engineer with shipped work in that exact area. Azumo is the stronger option for U.S. teams on a tight budget that need ML engineers who work their hours. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs Azumo: head-to-head summary
| Criterion | InData Labs | Azumo |
|---|---|---|
| Founded | 2014 | 2016 |
| HQ | Nicosia, Cyprus | San Francisco, California, USA |
| Team size | 50–100 | 50–249 |
| Rating | 4.4 / 5 | 3.9 / 5 |
| Primary differentiator | Ten years of computer-vision and NLP delivery in an AI-only company | The lowest published hourly band on this page with full U.S. time-zone overlap |
| Pricing model | Dedicated team billed monthly; projects from under $50,000 to over $100,000 (Clutch); rates on request | $25–$49/hr (Clutch band); monthly staff augmentation or dedicated team |
| Min. engagement | Not published | $10,000+ |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, PyTorch, TensorFlow |
| Industries served | Retail, Healthcare, Fintech, Media, Manufacturing | SaaS, Fintech, Healthcare, Retail, Media |
InData Labs vs Azumo: overview
InData Labs
InData Labs has worked on data science and AI since 2014 and is registered in Nicosia, Cyprus, with an office in Singapore. Clutch lists dedicated teams and staff augmentation among its core services, next to generative AI, computer vision and predictive analytics, and the company reports more than 150 delivered projects. It is an AWS partner. Directories put the team at roughly 70 to 80 people, all working on AI and data, so the people who interview candidates are practitioners in the same field. Computer vision and natural language processing are where its case studies are strongest.
Azumo
Azumo was founded in 2016, is headquartered in San Francisco and delivers mostly from Argentina, with an office in Rosario. Clutch lists an hourly band of $25 to $49 and a $10,000 minimum project, the lowest published rate on this page. It offers staff augmentation, dedicated nearshore teams and virtual CTO services, and it won a Clutch award as a top AI developer in 2023. Its engineers keep U.S. hours, so daily stand-ups are easy. The catch is depth. AI is a strong practice but one of several, and specialist experience varies by role.
Services and capabilities: InData Labs vs Azumo
| Capability | InData Labs | Azumo |
|---|---|---|
| ML engineers | ✓ | ✓ |
| LLM / GenAI engineers | ✓ | ✓ |
| AI agent developers | ✗ | ✗ |
| MLOps engineers | ✗ | ✗ |
| Computer vision engineers | ✓ | ✗ |
| NLP engineers | ✓ | ✗ |
| Data engineers | ✗ | ✓ |
| Engineer-led technical screen | ✓ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Trial before commitment | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✓ |
| Direct hire option | ✗ | ✗ |
Tech stack comparison: InData Labs vs Azumo
| Framework / platform | InData Labs | Azumo |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | ✓ |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | ✓ |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: InData Labs vs Azumo
| Criterion | InData Labs | Azumo |
|---|---|---|
| Minimum engagement | Not published | $10,000+ |
| Engagement models | Dedicated engineer, Dedicated team, Project delivery | Dedicated engineer, Dedicated team, Project delivery |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: InData Labs vs Azumo
| Dimension | InData Labs | Azumo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Healthcare, Fintech | SaaS, Fintech, Healthcare |
| Best use cases | Adding a computer-vision engineer to a retail shelf-analytics product, Staffing an NLP specialist for document classification | Adding a nearshore LLM engineer to a U.S. SaaS team, Building a data engineering squad on a startup budget |
| Typical project type | Dedicated engineer | Dedicated engineer |
InData Labs vs Azumo: pros and cons
| InData Labs | |
|---|---|
| + | Computer vision and NLP are core skills, not side offerings |
| + | Every engineer works in AI or data, so candidates are vetted by peers |
| + | AWS partner status helps on SageMaker-heavy projects |
| - | Small, with directory counts between 67 and 80 people |
| - | Sources disagree on the headquarters (Cyprus or Miami) |
| - | No published hourly rate |
| Azumo | |
|---|---|
| + | Published hourly band is the lowest on this list |
| + | Argentina shares working hours with U.S. teams |
| + | Clutch cost rating of 4.8 |
| - | AI is one of several practices, not the whole company |
| - | Fewer research-grade ML specialists than AI-only firms |
| - | Team size reported between 50 and 500 depending on the source |
Who should choose InData Labs?
A typical fit: adding a computer-vision engineer to a retail shelf-analytics product.
Ten years of computer-vision and NLP delivery in an AI-only company. Minimum engagement is not publicly disclosed. Works best with clients in Retail, Healthcare, Fintech, Media, Manufacturing.
Who should choose Azumo?
A typical fit: adding a nearshore LLM engineer to a U.S. SaaS team.
The lowest published hourly band on this page with full U.S. time-zone overlap. Minimum engagement starts at $10,000+. Works best with clients in SaaS, Fintech, Healthcare, Retail, Media.
Decision matrix: InData Labs vs Azumo
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | InData Labs |
| You need one specialist for a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You need several engineers working as one team | Both; InData Labs rates higher overall |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| Your budget is at the lower end | Compare: InData Labs (Not published) vs Azumo ($10,000+) |
| Your team works U.S. hours | Azumo |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
Use case fit: InData Labs vs Azumo
| Use case | InData Labs fit | Azumo fit | Winner |
|---|---|---|---|
| Adding a computer-vision engineer to a retail shelf-analytics product | Strong | Strong | Both equally |
| Staffing an NLP specialist for document classification | Strong | Strong | Both equally |
| Adding a nearshore LLM engineer to a U.S. SaaS team | Strong | Strong | Both equally |
| Building a data engineering squad on a startup budget | Limited | Strong | Azumo |
Verdict: InData Labs vs Azumo
InData Labs (4.4/5) is the stronger overall choice for most AI Engineer Staffing projects. Ten years of computer-vision and NLP delivery in an AI-only company.
Azumo (3.9/5) is worth a look if you need building a data engineering squad on a startup budget. If your situation matches that, Azumo is a competitive option.
Related comparisons
InData Labs vs Azumo FAQ
Is InData Labs better than Azumo?
InData Labs (4.4/5) scores higher overall, but "better" depends on your use case. InData Labs's strongest advantage: computer vision and NLP are core skills, not side offerings. Azumo's strongest advantage: published hourly band is the lowest on this list.
How do InData Labs and Azumo differ in pricing?
InData Labs uses dedicated team billed monthly; projects from under $50,000 to over $100,000 (clutch); rates on request pricing. Azumo uses $25–$49/hr (clutch band); monthly staff augmentation or dedicated team pricing with a minimum engagement of $10,000+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: InData Labs or Azumo?
Azumo 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 InData Labs and Azumo?
InData Labs's primary differentiator is: ten years of computer-vision and NLP delivery in an AI-only company. Azumo's primary differentiator is: the lowest published hourly band on this page with full U.S. time-zone overlap. They also differ in team size (50–100 vs 50–249), minimum engagement (Not published vs $10,000+), and primary industries served (Retail, Healthcare vs SaaS, Fintech).
Verify all details directly with each company before making a decision.