Azumo vs Quantiphi: full comparison for 2026
Quick verdict
Azumo (4.3/5) edges ahead of Quantiphi (4.2/5) overall. Azumo is the better choice for U.S. buyers who need the lowest published rate with same-day overlap. Quantiphi is the stronger option for procurement teams that want a defined staffing product from a large AI-only firm. The right choice depends on your project size, budget, and required tech stack.
Azumo vs Quantiphi: head-to-head summary
| Criterion | Azumo | Quantiphi |
|---|---|---|
| Founded | 2016 | 2013 |
| HQ | San Francisco, California, USA | Marlborough, Massachusetts, USA |
| Team size | 50–249 | 3,000–4,000+ |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Primary differentiator | A $25–$49 Clutch band with engineers working U.S. hours | Elastic Staffing, a packaged staffing program built with AWS |
| Pricing model | $25–$49/hr (Clutch band); staff augmentation or dedicated team; no long-term commitment (per company) | Elastic Staffing billed per specialist; consulting quoted separately; rates on request |
| Min. engagement | $10,000+ | Not published |
| Primary tech stack | Python, PyTorch, OpenAI | Python, TensorFlow, PyTorch |
| Industries served | SaaS, Fintech, Healthcare, Retail, Media | Healthcare, Financial services, Energy, Retail, Media |
Azumo vs Quantiphi: overview
Azumo
Azumo was founded in 2016, is headquartered in San Francisco and delivers mostly from Argentina, including an office in Rosario. On Clutch its hourly band is $25 to $49, with a $10,000 minimum project, which makes it the cheapest provider on this page that publishes a figure. You can buy single engineers through staff augmentation, a dedicated nearshore team or virtual CTO services, all without a long-term commitment, according to its site. AI is one of several practices, so check the experience of each engineer you are offered.
Quantiphi
Quantiphi, founded in 2013 in Marlborough, Massachusetts, employs between 3,000 and 4,000+ people on AI and data work alone. For buyers, its most useful feature is that staffing comes as a named product. Elastic Staffing, built with AWS, places generative AI and ML specialists into client teams, which gives procurement something defined to sign. It is the right call when you need many roles at once. Smaller requests compete with large consulting programs, and rates appear only after scoping.
Services and capabilities: Azumo vs Quantiphi
| Capability | Azumo | Quantiphi |
|---|---|---|
| Full-time dedicated engineers | ✓ | ✓ |
| Part-time / fractional experts | ✗ | ✗ |
| Dedicated team | ✓ | ✓ |
| Trial before commitment | ✗ | ✗ |
| Published rates | ✓ | ✗ |
| Direct hire option | ✗ | ✗ |
| Subscription or output-based pricing | ✗ | ✗ |
| Nearshore time-zone overlap | ✓ | ✗ |
| LLM / GenAI engineers | ✓ | ✓ |
| MLOps | ✗ | ✓ |
| Computer vision | ✗ | ✗ |
| Data engineering | ✗ | ✓ |
Tech stack comparison: Azumo vs Quantiphi
| Framework / platform | Azumo | Quantiphi |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | ✓ |
| Databricks | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Azumo vs Quantiphi
| Criterion | Azumo | Quantiphi |
|---|---|---|
| Minimum engagement | $10,000+ | Not published |
| Engagement models | Full-time dedicated, Dedicated team, Project delivery | Full-time dedicated, Dedicated team, Project delivery |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Azumo vs Quantiphi
| Dimension | Azumo | Quantiphi |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | Healthcare, Financial services, Energy |
| Best use cases | Adding a nearshore LLM engineer on a startup budget, Building a chatbot squad that joins U.S. stand-ups | Buying ten GenAI specialists under one contract, Staffing a SageMaker migration |
| Typical project type | Full-time dedicated | Full-time dedicated |
Azumo vs Quantiphi: pros and cons
| Azumo | |
|---|---|
| + | Lowest published band on this list |
| + | U.S. time-zone overlap |
| + | No long-term commitment required |
| - | AI is one practice among several |
| - | Fewer research-grade ML specialists |
| - | Headcount varies widely by source |
| Quantiphi | |
|---|---|
| + | A named staffing product simplifies procurement |
| + | Can fill many AI roles at once |
| + | Senior partner status with Google Cloud and AWS |
| - | Small requests get less attention |
| - | No public rates or trial |
| - | Headcount estimates vary |
Who should choose Azumo?
A typical fit: adding a nearshore LLM engineer on a startup budget.
A $25–$49 Clutch band with engineers working U.S. hours. Minimum engagement starts at $10,000+. Works best with clients in SaaS, Fintech, Healthcare, Retail, Media.
Who should choose Quantiphi?
A typical fit: buying ten GenAI specialists under one contract.
Elastic Staffing, a packaged staffing program built with AWS. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Energy, Retail, Media.
Decision matrix: Azumo vs Quantiphi
| Your situation | Recommended choice |
|---|---|
| You want one engineer full-time on a monthly contract | Both; Azumo rates higher overall |
| You only need a specialist a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| You need a rate before the first call | Azumo |
| Your budget is at the lower end | Compare: Azumo ($10,000+) vs Quantiphi (Not published) |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
| You want several engineers working as one team | Both; Azumo rates higher overall |
Use case fit: Azumo vs Quantiphi
| Use case | Azumo fit | Quantiphi fit | Winner |
|---|---|---|---|
| Adding a nearshore LLM engineer on a startup budget | Strong | Strong | Both equally |
| Building a chatbot squad that joins U.S. stand-ups | Strong | Limited | Azumo |
| Buying ten GenAI specialists under one contract | Limited | Strong | Quantiphi |
| Staffing a SageMaker migration | Limited | Strong | Quantiphi |
Verdict: Azumo vs Quantiphi
Azumo (4.3/5) is the stronger overall choice for most AI Staff Augmentation projects. A $25–$49 Clutch band with engineers working U.S. hours.
Quantiphi (4.2/5) is worth a look if you need staffing a SageMaker migration. If your situation matches that, Quantiphi is a competitive option.
Related comparisons
Azumo vs Quantiphi FAQ
Is Azumo better than Quantiphi?
Azumo (4.3/5) scores higher overall, but "better" depends on your use case. Azumo's strongest advantage: lowest published band on this list. Quantiphi's strongest advantage: a named staffing product simplifies procurement.
How do Azumo and Quantiphi differ in pricing?
Azumo uses $25–$49/hr (clutch band); staff augmentation or dedicated team; no long-term commitment (per company) pricing with a minimum engagement of $10,000+. Quantiphi uses elastic staffing billed per specialist; consulting quoted separately; 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 Quantiphi?
Quantiphi is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Azumo and Quantiphi?
Azumo's primary differentiator is: a $25–$49 Clutch band with engineers working U.S. hours. Quantiphi's primary differentiator is: elastic Staffing, a packaged staffing program built with AWS. They also differ in team size (50–249 vs 3,000–4,000+), minimum engagement ($10,000+ vs Not published), and primary industries served (SaaS, Fintech vs Healthcare, Financial services).
Verify all details directly with each provider before making a decision.