Azumo
Nearshore engineering teams building production multi-agent systems on LangGraph, CrewAI, and AutoGen.
Founded 2016 | San Francisco, CA, USA | 51–200 employees
multi-agent-systemsagent-orchestrationworkflow-integrationcoding-agents
What is Azumo?
Azumo is a nearshore software development firm founded in 2016 and headquartered in San Francisco, with roughly 110 employees spread across South America, North America, and Asia. It explicitly builds production-grade agentic systems using LangGraph, CrewAI, and Microsoft AutoGen, coordinating multiple models and tools to complete multi-step business processes autonomously — a level of framework specificity procurement and technical teams can verify directly. Its nearshore staffing model trades some of the premium of onshore-only teams for time-zone-aligned delivery.
Azumo works primarily with clients in Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare sectors. Its primary differentiator is: Explicit, named production experience with LangGraph, CrewAI, and Microsoft AutoGen for autonomous multi-agent orchestration.
Azumo tech stack and services
PythonLangGraphCrewAIAutoGenAWSDockerPostgreSQL
| Service area |
|---|
| Multi-Agent Systems |
| Agent Orchestration |
| Workflow Integration |
| Coding Agents |
Azumo pricing
Short answer: Azumo uses a dedicated team, staff augmentation pricing approach. Minimum engagement starts at $20K (per company website; independently unverifiable).
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Staff augmentation | 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 |
|---|---|
| +Named, current expertise across three major multi-agent orchestration frameworks | -Smaller team than the larger engineering firms limits very large concurrent programs |
| +Nearshore staffing (South/North America) keeps time zones aligned with US clients | -Public enterprise-scale compliance certifications are less documented than at bigger competitors |
| +~110-person team stays small enough for direct engineering access without large-firm layers | -Delivery model depends on continued nearshore talent availability across multiple countries |
| +Founded 2016 with a decade of nearshore delivery track record |
Azumo vs alternatives
How Azumo compares to the other top Agentic AI Development providers.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Autonomous multi-step reasoning, not scripted chatbots. | Graph-based memory enabling genuine multi-step reasoning, with reinforcement-learning-refined autonomous execution, explicitly positioned against reactive chatbots. | 4.8 | Full comparison |
| Vstorm | Mid-market buyers, agentic-AI-only consultancy. | First AI consultancy accepted into the Agentic AI Foundation, with a named proprietary delivery framework (TriStorm) and standardized AGENTS.md documentation on every project. | 4.6 | Full comparison |
| Stride Consulting | Autonomous legacy-codebase refactoring, not just code generation. | A named, demonstrable proprietary agent (the '100x agent') that autonomously maps, documents, and refactors legacy monoliths and generates its own tests. | 4.5 | Full comparison |
| Tribe AI | Enterprises wanting frontier-model expertise, no internal AI team. | A platform-plus-vetted-network model that staffs each agentic engagement with engineers matched to the specific use case, rather than a fixed generalist team. | 4.5 | Full comparison |
| Neurons Lab | Regulated finance orgs, compliance-fluent agentic delivery. | AWS Advanced Tier partner status with named financial-institution agentic delivery experience at a boutique headcount. | 4.4 | Full comparison |
| RTS Labs | Teams needing pilot-to-production, governed agentic systems. | Architecture-and-guardrails focus aimed specifically at the pilot-to-production gap for autonomous agents, not just initial prototyping. | 4.3 | Full comparison |
| Boldare | Buyers wanting product-design discipline in agentic AI. | 250+ shipped digital products with named enterprise clients (BlaBlaCar, Bosch, Decathlon), now applying that product-delivery discipline to a dedicated agentic AI implementation practice. | 4.3 | Full comparison |
| Grid Dynamics | Fortune 1000 enterprises, publicly-listed engineering partner. | Public-company scale (Nasdaq: GDYN) combined with an explicit, named agentic AI practice line. | 4.2 | Full comparison |
| Qubika | US buyers, large Latin American delivery bench. | A US headquarters paired with a large, multi-country Latin American delivery bench (~879 people) formed from two merged digital product firms. | 4.1 | Full comparison |
| Markovate | Product teams extending an existing generative-AI roadmap. | Generative AI and LLM development as the core practice, with agentic work built as a direct extension rather than a bolted-on new offering. | 4.1 | Full comparison |
| Rootstrap | Product teams, multi-agent workflows inside shipped products. | Known specifically for integrating multi-agent workflows into shipped digital products, not standalone backend automation. | 4.0 | Full comparison |
| Spiral Scout | Buyers wanting agentic AI bundled with full-service dev. | Fifteen years of full-service custom software delivery (since a 3-person start in 2010) now extended into a dedicated AI implementation practice. | 4.0 | Full comparison |
| Azilen Technologies | Enterprises wanting single-task through multi-agent, one vendor. | Covers the full agentic complexity spectrum — single-task through autonomous multi-agent architectures — under one product-engineering practice. | 3.9 | Full comparison |
| Kanerika | Orgs wanting agents built on a data/analytics foundation. | Data-integration and analytics heritage means agentic work is built directly on top of governed data pipelines, not bolted on separately. | 3.9 | Full comparison |
| Master of Code Global | Brands needing customer-facing agents, two decades of dialogue... | Twenty years of conversational AI and chatbot delivery history now applied specifically to autonomous, multi-step agentic dialogue. | 3.9 | Full comparison |
| LeewayHertz | Enterprises wanting deep ERP/CRM multi-agent integration. | Deep multi-agent architecture and autonomous orchestration-framework selection experience, now combined with The Hackett Group's enterprise consulting network post-acquisition. | 3.8 | Full comparison |
| SumatoSoft | US buyers, Boston HQ, European delivery cost advantage. | US headquarters (Boston) combined with European delivery centers, applying a custom AI-software specialization to agentic development specifically. | 3.8 | Full comparison |
| Curotec | US buyers, agentic AI added to existing web... | A 2025 Inc. 5000 honoree with a founder-led, US-headquartered structure, adding agentic AI as an extension of its enterprise web development practice. | 3.8 | Full comparison |
| N-iX | Large enterprises, agentic AI within cloud/data modernization. | Scale (2,400+ engineers) and a two-decade track record across cloud, data, and embedded systems, with agentic AI work layered on top. | 3.8 | Full comparison |
| Innowise | Enterprises wanting agentic AI at large-scale dev capacity. | Full-cycle software development scale (3,500+ engineers) applied to agentic AI as an extension of a broad existing practice. | 3.7 | Full comparison |
| EffectiveSoft | Enterprises wanting agentic AI, multi-region delivery options. | Quarter-century of enterprise custom software delivery history combined with a dedicated, named agentic AI development service line. | 3.7 | Full comparison |
| BotsCrew | Buyers wanting a compact conversational-AI-native team. | A decade of dedicated conversational AI/chatbot delivery experience applied specifically to autonomous, multi-step agentic dialogue. | 3.7 | Full comparison |
| Bacancy Technology | Buyers wanting agentic AI within a digital-workplace contract. | A 13-location delivery footprint and broad service catalog (digital workplace, AI/automation, IoT, cloud, QA) available under one large vendor. | 3.7 | Full comparison |
| Intuz | Budget-conscious teams, production multi-agent systems with guardrails. | Named production experience across four agentic frameworks (LangGraph, CrewAI, AutoGen, n8n), including observability and guardrails as standard. | 3.6 | Full comparison |
| Leanware | Budget-conscious US buyers, Latin American nearshore option. | A Bogotá-based nearshore engineering team offering agentic AI development at a lower cost point for US buyers than domestic or Eastern European vendors. | 3.6 | Full comparison |
Azumo FAQ
What is Azumo?
Nearshore engineering teams building production multi-agent systems on LangGraph, CrewAI, and AutoGen.
How much does Azumo charge?
Azumo uses dedicated team, staff augmentation pricing. Minimum engagement starts at $20K (per company website; independently unverifiable). A discovery call is required to get project-specific quotes.
What tech stack does Azumo use?
Azumo works with Python, LangGraph, CrewAI, AutoGen, AWS, Docker, PostgreSQL. Primary industries served include Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare.
Is Azumo right for enterprise?
US companies, nearshore pricing, LangGraph/CrewAI/AutoGen expertise. 51–200 team size. Key consideration: Smaller team than the larger engineering firms limits very large concurrent programs.
What are the best Azumo alternatives?
The best alternatives to Azumo depend on your use case. Top options are:
- Tensorway: graph-based memory enabling genuine multi-step reasoning, with reinforcement-learning-refined autonomous execution, explicitly positioned against reactive chatbots.
- Vstorm: first ai consultancy accepted into the agentic ai foundation, with a named proprietary delivery framework (tristorm) and standardized agents.md documentation on every project.
- Stride Consulting: a named, demonstrable proprietary agent (the '100x agent') that autonomously maps, documents, and refactors legacy monoliths and generates its own tests.
Compare Azumo with other Agentic AI Development providers
Azumo vs Tensorway Azumo vs Vstorm Azumo vs Stride Consulting Azumo vs Tribe AI Azumo vs Neurons Lab Azumo vs RTS Labs Azumo vs Boldare Azumo vs Grid Dynamics Azumo vs Qubika Azumo vs Markovate Azumo vs Rootstrap Azumo vs Spiral Scout Azumo vs Azilen Technologies Azumo vs Kanerika Azumo vs Master of Code Global Azumo vs LeewayHertz Azumo vs SumatoSoft Azumo vs Curotec Azumo vs N-iX Azumo vs Innowise Azumo vs EffectiveSoft Azumo vs BotsCrew Azumo vs Bacancy Technology Azumo vs Intuz Azumo vs Leanware