Azumo
San Francisco nearshore developer with Latin American AI engineers in U.S. time zones
Founded 2016 | San Francisco, CA, USA | 80+ employees
llm-api-integrationconversational-aidata-platform-integration
What is Azumo?
Azumo is a nearshore software firm based in San Francisco, founded in 2016, with engineers across Latin America. Built In lists 79 employees, while other directories show 201–500, so its size is unclear. The company works on AI, data engineering, cloud, and mobile, and cites more than 350 delivered projects (per G2 profile; independently unverifiable). U.S. companies that want daily overlap with an outside team at nearshore rates are its main buyers.
Azumo works primarily with clients in SaaS, Media, Healthcare, Financial services sectors. Its primary differentiator is: Latin American engineers working U.S. hours.
Azumo tech stack and services
Azure OpenAIAWS BedrockLangChainPythonSnowflake
| Service area |
|---|
| LLM API Integration |
| Conversational AI |
| Data Platform Integration |
Azumo pricing
Short answer: Azumo prices its work as follows: dedicated teams and time & materials; rates on request. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Monthly team rate; not public | Continuing the build after a pilot |
| Time & materials | Hourly; see pricing model above | Scope that will change as you learn |
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 |
|---|---|
| +Full time-zone overlap with U.S. clients. | -Team size is reported anywhere from about 80 to 500 |
| +Nearshore rates below U.S. onshore firms. | -No platform partner tiers to verify |
| +Mixes AI work with the app and data engineering around it. | -No fixed-price pilot or managed-service offer published |
Azumo vs alternatives
How Azumo compares to the other top AI Integration Services providers.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Buyers who want a priced pilot before a... | Fixed-price audit and pilot, with the per-request API cost modeled before rollout | 4.8 | Full comparison |
| Provectus | AWS-centric companies adding generative AI. | AWS Premier Tier status with a gen-AI practice built around Bedrock | 4.6 | Full comparison |
| Slalom | Mid-size and large firms on several platforms at... | Partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm | 4.5 | Full comparison |
| Neurons Lab | Banks and insurers piloting AI agents. | AWS Generative AI competency combined with a financial-services client base | 4.5 | Full comparison |
| deepsense.ai | Teams needing RAG and evaluation done properly. | Evaluation frameworks that test model output before it reaches users | 4.5 | Full comparison |
| RTS Labs | U.S. firms needing onshore-only delivery. | All-U.S. engineering team and early MCP integration work | 4.4 | Full comparison |
| Coastal Cloud | Salesforce customers rolling out Agentforce. | Summit-tier Salesforce practice concentrated on Agentforce and Data Cloud | 4.4 | Full comparison |
| Hitachi Solutions | Dynamics 365 shops adding Copilot. | A practice that works only on Microsoft technology, centered on Dynamics 365 | 4.4 | Full comparison |
| Datatonic | Companies whose data already lives in BigQuery. | Google Cloud focus with LLMOps tooling for monitored production models | 4.3 | Full comparison |
| Quantiphi | Large document-heavy programs on Google Cloud or AWS. | Partner-of-the-year history with both Google Cloud and AWS on AI work | 4.3 | Full comparison |
| Addepto | Manufacturers connecting AI to engineering data. | Integration work with industrial systems such as SCADA, CAD, and PLM | 4.3 | Full comparison |
| Master of Code Global | Support teams adding chat or voice agents. | Dedicated conversation designers working beside the engineers | 4.3 | Full comparison |
| Perficient | Mid-market Salesforce or Microsoft customers. | Agentforce capability expanded through the Kelley Austin acquisition | 4.2 | Full comparison |
| Avanade | Large Microsoft-standardized enterprises. | Microsoft-only scale, with Accenture as majority owner | 4.2 | Full comparison |
| Grid Dynamics | Retailers adding agentic commerce features. | Packaged agentic platforms (GAIN) sitting on top of custom engineering | 4.2 | Full comparison |
| Thoughtworks | Engineering-led teams with strict code standards. | Engineering practice reputation applied to AI-first delivery | 4.2 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade controls. | Risk, audit, and regulatory teams working next to the integrators | 4.1 | Full comparison |
| EPAM Systems | Enterprises with multi-year engineering budgets. | Engineering capacity across Europe, India, and the Americas for long AI programs | 4.1 | Full comparison |
| Globant | Buyers wanting subscription pricing on AI delivery. | AI Pods priced by output or consumption instead of hours | 4.1 | Full comparison |
| InData Labs | Smaller budgets, analytics and document AI. | Predictive analytics depth at mid-band European rates | 4.1 | Full comparison |
| Capgemini | Global firms outsourcing AI-run back-office processes. | Business-process outsourcing combined with agentic AI after the WNS deal | 4.0 | Full comparison |
| Persistent Systems | Cost-conscious enterprises with offshore teams. | Offshore engineering scale with its own gen-AI delivery platform | 4.0 | Full comparison |
| SoftServe | Document AI projects on Google Cloud. | Google Cloud Premier status with Document AI expertise | 4.0 | Full comparison |
| STX Next | Python-heavy product teams. | Python engineering depth applied to AI and data work | 4.0 | Full comparison |
| Miquido | Consumer apps adding AI features. | Product design and mobile skills around the AI work | 3.9 | Full comparison |
| Koombea | Product teams wanting fixed-scope AI sprints. | Story-point-scoped AI Pods in two-week cycles | 3.9 | Full comparison |
| ScienceSoft | Tight budgets needing a small first project. | Lowest published entry point on this list ($5K Clutch minimum) | 3.9 | Full comparison |
| Svitla Systems | Long-term AI team extension. | Dedicated teams split across Latin America and Eastern Europe | 3.9 | Full comparison |
| Coherent Solutions | Product companies needing steady engineering capacity. | Three decades of product engineering with a data and AI practice | 3.9 | Full comparison |
| N-iX | Enterprises connecting AI to SAP data. | SAP, Snowflake, and Palantir partnerships in one engineering firm | 3.9 | Full comparison |
| Vention | Funded startups needing AI developers fast. | Large developer pool for startup and scale-up teams | 3.8 | Full comparison |
| Itransition | Companies bundling AI with wider IT work. | AI/ML center of excellence within a wide IT services catalog | 3.8 | Full comparison |
| LeewayHertz | Buyers open to a platform-based build. | ZBrain platform for assembling enterprise AI apps | 3.8 | Full comparison |
Azumo FAQ
What is Azumo?
San Francisco nearshore developer with Latin American AI engineers in U.S. time zones
How much does Azumo charge?
Pricing model: dedicated teams and time & materials; rates on request. Minimum engagement is not publicly disclosed. 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, Snowflake. Primary industries served include SaaS, Media, Healthcare, Financial services.
Is Azumo right for enterprise?
Best for: U.S. startups wanting nearshore AI engineers. Team size: 80+. Key consideration: Team size is reported anywhere from about 80 to 500.
What are the best Azumo alternatives?
The best alternatives to Azumo depend on your use case. Top options are:
- Tensorway: fixed-price audit and pilot, with the per-request API cost modeled before rollout
- Provectus: AWS Premier Tier status with a gen-AI practice built around Bedrock
- Slalom: partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm
Compare Azumo with other AI Integration Services providers
Azumo vs Tensorway Azumo vs Provectus Azumo vs Slalom Azumo vs Neurons Lab Azumo vs deepsense.ai Azumo vs RTS Labs Azumo vs Coastal Cloud Azumo vs Hitachi Solutions Azumo vs Datatonic Azumo vs Quantiphi Azumo vs Addepto Azumo vs Master of Code Global Azumo vs Perficient Azumo vs Avanade Azumo vs Grid Dynamics Azumo vs Thoughtworks Azumo vs Deloitte Azumo vs EPAM Systems Azumo vs Globant Azumo vs InData Labs Azumo vs Capgemini Azumo vs Persistent Systems Azumo vs SoftServe Azumo vs STX Next Azumo vs Miquido Azumo vs Koombea Azumo vs ScienceSoft Azumo vs Svitla Systems Azumo vs Coherent Solutions Azumo vs N-iX Azumo vs Vention Azumo vs Itransition Azumo vs LeewayHertz
Verify all details directly with Azumo before making a decision.