Azumo
San Francisco nearshore firm with Argentine engineers and one of the lowest rate bands for AI integration work
Founded 2016 | San Francisco, CA, USA | 50–249 employees
llm-api-integrationconversational-aidata-platform-integration
What is 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.
Azumo works primarily with clients in SaaS, Financial services, Healthcare, Retail & e-commerce sectors. Its primary differentiator is: U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point.
Azumo tech stack and services
Azure OpenAIAWS BedrockLangChainPythonNode.js
| Service area |
|---|
| LLM API Integration |
| Conversational AI |
| Data Platform Integration |
Azumo pricing
Short answer: $25–$49/hr (Clutch band); T&M and dedicated teams. Minimum engagement starts at $10,000+ (Clutch).
| Engagement model | Typical range | Best for |
|---|---|---|
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
Azumo does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Azumo pros and cons
| Advantages | Things to consider |
|---|---|
| +Among the lowest published rate bands on this list | -Some reviewers report team turnover on long engagements |
| +Working hours overlap fully with U.S. teams | -Less experience with SAP, Oracle or other heavy ERP systems |
| +Strong Clutch review record with high marks for communication | -Few governance or security controls are described publicly |
| +Low $10,000 minimum makes a first project easy to approve |
Azumo vs alternatives
How Azumo compares to the other top AI Integration companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market firms adding AI to existing CRM and... | Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call | 4.8 | Full comparison |
| Provectus | AWS-based companies needing data work before AI. | Pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team | 4.6 | Full comparison |
| Slalom | Salesforce-centric enterprises, Data Cloud and Agentforce. | Partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack | 4.6 | Full comparison |
| Neurons Lab | Banks and insurers piloting agentic AI under regulation. | Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation | 4.5 | Full comparison |
| TTMS | Pharma and regulated firms on Salesforce or Microsoft... | Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules | 4.5 | Full comparison |
| Avanade | Microsoft-standardized enterprises rolling out Copilot. | A Microsoft-only practice of about 59,000 people covering Dynamics 365, Azure OpenAI and Copilot governance | 4.4 | Full comparison |
| deepsense.ai | Engineering teams wanting a strong RAG partner. | Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets | 4.4 | Full comparison |
| Addepto | Data teams needing warehouse work before an LLM... | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | 4.3 | Full comparison |
| Vstorm | Teams wanting agents they will own and maintain. | Agent specialists who hand over a production system the client team can maintain without them | 4.3 | Full comparison |
| Quantiphi | Google Cloud estates, high-volume document AI. | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments | 4.3 | Full comparison |
| Grid Dynamics | Retailers adding AI to commerce and supply chain... | Packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting | 4.3 | Full comparison |
| EPAM Systems | Large enterprises with Salesforce and SAP estates. | Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic | 4.3 | Full comparison |
| Accenture | Global enterprises with multi-country compliance needs. | Scale and compliance coverage across every major platform, region and regulator | 4.2 | Full comparison |
| Perficient | Marketing and service teams on Adobe or Salesforce. | Adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft | 4.2 | Full comparison |
| RTS Labs | U.S. mid-market firms with stalled AI pilots. | Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections | 4.2 | Full comparison |
| Thoughtworks | Engineering-led firms that value delivery practice. | Long-standing engineering discipline, testing and continuous delivery applied to AI features | 4.1 | Full comparison |
| InData Labs | Mid-size firms needing forecasting and data science. | Data-science-led team that builds predictive models alongside generative features | 4.1 | Full comparison |
| Master of Code Global | Consumer brands building chat and voice assistants. | Two decades of conversational design work for consumer brands, now applied to LLM-based assistants | 4.1 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade AI controls. | Risk and governance expertise next to SAP and Oracle integration teams in one firm | 4.1 | Full comparison |
| IBM Consulting | Enterprises already committed to IBM watsonx. | Prebuilt connectors in watsonx Orchestrate plus IBM's own governance tooling | 4.0 | Full comparison |
| Globant | Firms wanting subscription-priced AI capacity. | Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour | 4.0 | Full comparison |
| N-iX | Larger programmes needing an Eastern European team. | Large Central and Eastern European engineering bench with data-platform experience | 4.0 | Full comparison |
| ScienceSoft | Healthcare and finance firms wanting one IT vendor. | Long-established generalist covering both the surrounding software and the AI feature | 4.0 | Full comparison |
| Itransition | Cost-sensitive buyers wanting a large generalist. | Low published rates combined with a large engineering pool | 3.9 | Full comparison |
| Miquido | Product teams adding AI to customer-facing apps. | Product design and mobile engineering applied to AI features in apps | 3.9 | Full comparison |
| Markovate | Startups wanting a quick generative AI build. | Generative AI app builds for startups with a fast proof-of-concept focus | 3.9 | Full comparison |
| LeewayHertz | Buyers open to a platform-led ZBrain build. | Builds on its own ZBrain low-code platform, now backed by The Hackett Group | 3.8 | Full comparison |
Azumo FAQ
What is Azumo?
San Francisco nearshore firm with Argentine engineers and one of the lowest rate bands for AI integration work
How much does Azumo charge?
Pricing at Azumo: $25–$49/hr (Clutch band); T&M and dedicated teams. Minimum engagement starts at $10,000+ (Clutch). A discovery call is required to get project-specific quotes.
What tech stack does Azumo use?
Azumo works with Azure OpenAI, AWS Bedrock, LangChain, Python, Node.js. Primary industries served include SaaS, Financial services, Healthcare, Retail & e-commerce.
Is Azumo right for enterprise?
Budget-conscious U.S. teams, time-zone-aligned. 50–249 team size. Key consideration: Some reviewers report team turnover on long engagements.
What are the best Azumo alternatives?
The best alternatives to Azumo depend on your use case. Top options are:
- Tensorway: integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call
- Provectus: pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team
- Slalom: partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack
Compare Azumo with other AI Integration companies
Azumo vs Tensorway Azumo vs Provectus Azumo vs Slalom Azumo vs Neurons Lab Azumo vs TTMS Azumo vs Avanade Azumo vs deepsense.ai Azumo vs Addepto Azumo vs Vstorm Azumo vs Quantiphi Azumo vs Grid Dynamics Azumo vs EPAM Systems Azumo vs Accenture Azumo vs Perficient Azumo vs RTS Labs Azumo vs Thoughtworks Azumo vs InData Labs Azumo vs Master of Code Global Azumo vs Deloitte Azumo vs IBM Consulting Azumo vs Globant Azumo vs N-iX Azumo vs ScienceSoft Azumo vs Itransition Azumo vs Miquido Azumo vs Markovate Azumo vs LeewayHertz
Verify all details directly with Azumo before making a decision.