Quantiphi vs Azumo: full comparison for 2026
Quick verdict
Quantiphi (4.3/5) edges ahead of Azumo (4.2/5) overall. Quantiphi is the better choice for google Cloud estates, high-volume document AI. Azumo is the stronger option for budget-conscious U.S. teams, time-zone-aligned. The right choice depends on your project size, budget, and required tech stack.
Quantiphi vs Azumo: head-to-head summary
| Criterion | Quantiphi | Azumo |
|---|---|---|
| Founded | 2013 | 2016 |
| HQ | Marlborough, MA, USA | San Francisco, CA, USA |
| Team size | 3,500+ | 50–249 |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Primary differentiator | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments | U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point |
| Pricing model | Fixed-price and T&M with offshore-weighted rates; rates on request | $25–$49/hr (Clutch band); T&M and dedicated teams |
| Min. engagement | Not disclosed | $10,000+ (Clutch) |
| Primary tech stack | Google Vertex AI, Google Document AI, AWS Bedrock | Azure OpenAI, AWS Bedrock, LangChain |
| Industries served | Healthcare, Insurance, Financial services, Public sector, Media | SaaS, Financial services, Healthcare, Retail & e-commerce |
Quantiphi vs Azumo: overview
Quantiphi
Quantiphi is an AI-first digital engineering firm founded in 2013, with U.S. headquarters in Marlborough, Massachusetts and most of its delivery staff in India. It employs about 3,500–4,000 people and holds premier-level partnerships with Google Cloud and AWS, plus many partner-of-the-year awards (exact counts differ across its own pages). Document AI, contact-centre AI and data modernization make up much of its published work.
Azumo
Azumo is a nearshore software and AI development company founded in 2016, headquartered in San Francisco, with its main engineering base in Rosario, Argentina. Clutch lists 50–249 employees, a $25–$49 hourly band and a $10,000 minimum project, with an overall review score of 4.9. It builds LLM features, chat interfaces and data integrations for U.S. startups and mid-size firms. Some Clutch reviewers mention turnover on longer engagements.
Services and capabilities: Quantiphi vs Azumo
| Capability | Quantiphi | Azumo |
|---|---|---|
| CRM / ERP integration | ✗ | ✗ |
| LLM API gateway & cost control | ✗ | ✓ |
| Document processing | ✓ | ✗ |
| Agentic workflows | ✗ | ✗ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✗ |
| PII masking & access control | ✗ | ✗ |
Tech stack comparison: Quantiphi vs Azumo
| Framework / platform | Quantiphi | Azumo |
|---|---|---|
| Salesforce | N/A | N/A |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | N/A |
| Databricks | ✓ | N/A |
| Azure OpenAI | N/A | ✓ |
| AWS Bedrock | ✓ | ✓ |
| LangChain | N/A | ✓ |
| ServiceNow | N/A | N/A |
Pricing comparison: Quantiphi vs Azumo
| Criterion | Quantiphi | Azumo |
|---|---|---|
| Minimum engagement | Not disclosed | $10,000+ (Clutch) |
| Engagement models | Fixed project, Time & materials, Dedicated team | Time & materials, Dedicated team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Quantiphi vs Azumo
| Dimension | Quantiphi | Azumo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Insurance, Financial services | SaaS, Financial services, Healthcare |
| Best use cases | Insurance claims intake with Document AI extraction and human review., Contact-centre AI on Google Cloud for a high-volume support operation. | Adding an LLM assistant to an existing SaaS product., Extending an in-house team with nearshore AI engineers. |
| Typical project type | Fixed project | Time & materials |
Quantiphi vs Azumo: pros and cons
| Quantiphi | |
|---|---|
| + | Rare dual premier status with Google Cloud and AWS |
| + | Mature document AI practice for claims, forms and medical records |
| + | India-weighted delivery keeps blended rates below U.S. consultancies |
| + | Can scale teams quickly for large backlogs |
| - | Award and partner counts vary between its own pages, so confirm current tiers in partner directories |
| - | Offshore-heavy delivery needs strong client-side product ownership |
| - | Less visible work inside Salesforce or SAP |
| Azumo | |
|---|---|
| + | Among the lowest published rate bands on this list |
| + | Working hours overlap fully with U.S. teams |
| + | Strong Clutch review record with high marks for communication |
| + | Low $10,000 minimum makes a first project easy to approve |
| - | Some reviewers report team turnover on long engagements |
| - | Less experience with SAP, Oracle or other heavy ERP systems |
| - | Few governance or security controls are described publicly |
Who should choose Quantiphi?
A typical fit: insurance claims intake with Document AI extraction and human review.
Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Insurance, Financial services, Public sector, Media.
Who should choose Azumo?
A typical fit: adding an LLM assistant to an existing SaaS product.
U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in SaaS, Financial services, Healthcare, Retail & e-commerce.
Decision matrix: Quantiphi vs Azumo
| Your situation | Recommended choice |
|---|---|
| You want a fixed-price audit or pilot before committing | Neither advertises one; ask for a scoped pilot |
| AI has to work inside your existing CRM or ERP | Neither lists CRM/ERP integration work |
| Personal data must be masked and answers limited by user permissions | Ask both for their PII and access-control design |
| Your budget is at the lower end | Compare: Quantiphi (Not disclosed) vs Azumo ($10,000+ (Clutch)) |
| You want the vendor to run the AI service after launch | Neither offers managed services; plan in-house operations |
| You are building multi-step agents across systems | Neither lists agentic AI work |
Use case fit: Quantiphi vs Azumo
| Use case | Quantiphi fit | Azumo fit | Winner |
|---|---|---|---|
| Insurance claims intake with Document AI extraction and human review. | Strong | Limited | Quantiphi |
| Contact-centre AI on Google Cloud for a high-volume support operation. | Strong | Limited | Quantiphi |
| Adding an LLM assistant to an existing SaaS product. | Limited | Strong | Azumo |
| Extending an in-house team with nearshore AI engineers. | Limited | Strong | Azumo |
Verdict: Quantiphi vs Azumo
Quantiphi (4.3/5) is the stronger overall choice for most AI Integration projects. Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments.
Azumo (4.2/5) is worth a look if you need extending an in-house team with nearshore AI engineers. If your situation matches that, Azumo is a competitive option.
Related comparisons
Quantiphi vs Azumo FAQ
Is Quantiphi better than Azumo?
Quantiphi (4.3/5) scores higher overall, but "better" depends on your use case. Quantiphi's strongest advantage: rare dual premier status with Google Cloud and AWS. Azumo's strongest advantage: among the lowest published rate bands on this list.
How do Quantiphi and Azumo differ in pricing?
Quantiphi pricing: Fixed-price and T&M with offshore-weighted rates; rates on request. Azumo pricing: $25–$49/hr (Clutch band); T&M and dedicated teams. Minimum engagement: $10,000+ (Clutch). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Quantiphi 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 Quantiphi and Azumo?
Quantiphi's primary differentiator is: premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments. Azumo's primary differentiator is: U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point. They also differ in team size (3,500+ vs 50–249), minimum engagement (Not disclosed vs $10,000+ (Clutch)), and primary industries served (Healthcare, Insurance vs SaaS, Financial services).
Verify all details directly with each company before making a decision.