Azumo
Nearshore AI engineering teams building production agents 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.
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 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 global systems integrators 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-SI 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 AI Agent Development providers.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Vstorm | Buyers wanting an agentic-AI-only practice, not a bolt-on. | First AI consultancy accepted into the Agentic AI Foundation, with a named proprietary delivery framework (TriStorm) and standardized AGENTS.md documentation. | 4.6 | Full comparison |
| Tensorway | Fast agentic MVP delivery, no platform overhaul. | Five distinct engagement models spanning fixed-price to time & materials, all mapped to the same six-phase delivery methodology — flexibility uncommon at this team size. | 4.5 | Full comparison |
| Stride Consulting | Autonomous legacy-code refactoring, not just codegen. | A named, demonstrable proprietary agent (the '100x agent') that autonomously maps, documents, and refactors legacy monoliths and generates its own tests. | 4.4 | Full comparison |
| Tribe AI | Frontier-model expertise, no in-house AI team needed. | A platform-plus-vetted-network model that staffs each engagement with engineers matched to the specific AI use case. | 4.4 | Full comparison |
| Neurons Lab | Regulated financial services, compliance-fluent agentic AI. | AWS Advanced Tier partner status with named financial-institution delivery experience at a boutique headcount. | 4.3 | Full comparison |
| RTS Labs | Mid-market/enterprise, pilot-to-production AI. | Architecture-and-guardrails focus aimed specifically at the pilot-to-production gap, not just initial prototyping. | 4.2 | Full comparison |
| LatentView Analytics | Publicly traded analytics firm, global delivery scale. | Publicly traded (NSE) status gives buyers financial transparency uncommon among firms of similar scale in this niche. | 4.2 | Full comparison |
| Grid Dynamics | Fortune 1000 enterprises, public engineering partner. | Public-company scale (Nasdaq: GDYN) combined with an explicit, named agentic AI practice. | 4.1 | Full comparison |
| MathCo | Dual US/India headquarters, genuine local leadership. | Genuine dual headquarters (Chicago and Bangalore, not just a sales office over an offshore delivery center) at ~2,000-person scale. | 4.1 | Full comparison |
| Centific | Agentic AI on rigorous, purpose-built data pipelines. | An AI data foundry specialization — data pipeline and curation infrastructure for training and deploying AI at scale — feeding directly into agentic AI delivery. | 4.0 | Full comparison |
| Markovate | Product teams extending an existing gen-AI roadmap. | Generative AI and LLM development as the core practice, with agent work built as a natural extension rather than a separate offering. | 4.0 | Full comparison |
| Accenture | Multinational enterprises, governance-heavy transformation. | Unmatched global scale and named strategic partnerships (OpenAI, Microsoft/Avanade) for enterprise-wide agentic AI rollouts. | 4.0 | Full comparison |
| Cognizant | Large regulated enterprises, bundled IT outsourcing. | Enterprise-scale AI-led automation (Cognizant Neuro) backed by a 340,000-person global delivery organization. | 3.9 | Full comparison |
| IBM Consulting | Enterprises standardizing on IBM's watsonx ecosystem. | Combines its own agent orchestration platform (watsonx Orchestrate) with enterprise consulting and implementation at global scale. | 3.9 | Full comparison |
| Kanerika | Agentic AI built on an enterprise data foundation. | Data-integration and analytics heritage means agents are built directly on top of governed data pipelines, not bolted on separately. | 3.9 | Full comparison |
| Master of Code Global | Customer-facing agents, two decades of dialogue design. | Twenty years of conversational AI and chatbot delivery history predating the current agentic AI wave. | 3.9 | Full comparison |
| Matellio | Agentic AI within cloud-native app modernization. | Combines AI/agent development with broader enterprise cloud application engineering under one roof. | 3.8 | Full comparison |
| Deviniti | Atlassian-ecosystem enterprises, workflow automation. | Two decades of enterprise systems-integration work, including deep Atlassian-ecosystem expertise, applied to agent workflow integration. | 3.8 | Full comparison |
| Azilen Technologies | Full spectrum, single-task through multi-agent systems. | Covers the full agent complexity spectrum — single-task through multi-agent architectures — under one product-engineering practice. | 3.8 | Full comparison |
| N-iX | Large enterprises, agentic AI plus cloud/data modernization. | Scale (2,400+ engineers) and a two-decade track record across cloud, data, and embedded systems, with AI/agent work layered on top. | 3.8 | Full comparison |
| Innowise | Agentic AI bundled with large-scale custom software. | Full-cycle software development scale (3,500+ engineers) applied to agentic AI as an extension of a broad existing practice. | 3.7 | Full comparison |
| Netguru | Design and engineering bundled under one contract. | Bundles product design and engineering under one contract, avoiding the separate UX vendor gap common with AI-only specialists. | 3.7 | Full comparison |
| Ideas2IT | Mid-large product engineering partner, global footprint. | Product engineering scale (800+ employees) combined with an explicit AI-and-innovation practice positioning. | 3.7 | Full comparison |
| EffectiveSoft | Long-established vendor, multi-region delivery. | Quarter-century of enterprise custom software delivery history combined with a dedicated, named agentic AI development service line. | 3.7 | Full comparison |
| *instinctools | Fortune 500 clients, German-American engineering partner. | A quarter-century of engineering history serving Fortune 500 clients, with dual German and US headquarters for transatlantic delivery. | 3.7 | Full comparison |
| Signity Solutions | Cost-conscious, India-based multi-agent automation. | Explicit specialization in multi-agent collaborative systems for business process optimization at an India-based cost point. | 3.6 | Full comparison |
| LeewayHertz | Multi-agent design, deep ERP/CRM integration. | Deep multi-agent architecture and orchestration-framework selection experience, now combined with The Hackett Group's enterprise consulting network post-acquisition. | 3.6 | Full comparison |
| Softermii | Agentic AI within a custom web or mobile... | Full-cycle web and mobile application development discipline applied to agent-powered product features. | 3.6 | Full comparison |
| DevCom | Full-lifecycle rigor, design through production support. | Full-lifecycle software delivery discipline — planning through production support — applied to agentic AI projects. | 3.6 | Full comparison |
| Intuz | Budget-conscious, observability and guardrails built in. | Named production experience across four agent frameworks (LangGraph, CrewAI, AutoGen, n8n), including observability and guardrails as standard. | 3.6 | Full comparison |
| Cogniteq | Cost-conscious buyers, boutique European team. | Boutique full-cycle development shop with two decades of Baltic-region delivery history at a lower cost base than Western European or US firms. | 3.6 | Full comparison |
| Codebridge Technology | .NET/web teams, agentic AI via team extension. | .NET and web development specialization applied to agentic AI, aimed at teams already standardized on that stack. | 3.6 | Full comparison |
| Riseup Labs | Startups, lower-cost agentic AI entry point. | South Asian cost base combined with 15+ years of IT services history, aimed at budget-conscious agent projects. | 3.6 | Full comparison |
| Uvik Software | Small teams, senior Python engineers, no overhead. | Python-and-Django engineering depth carried directly into AI and agent development, at boutique scale. | 3.6 | Full comparison |
Azumo FAQ
What is Azumo?
Nearshore AI engineering teams building production agents 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?
Nearshore pricing, LangGraph/CrewAI/AutoGen expertise. 51–200 team size. Key consideration: Smaller team than the global systems integrators limits very large concurrent programs.
What are the best Azumo alternatives?
The best alternatives to Azumo depend on your use case. Top options are:
- Vstorm: first ai consultancy accepted into the agentic ai foundation, with a named proprietary delivery framework (tristorm) and standardized agents.md documentation.
- Tensorway: five distinct engagement models spanning fixed-price to time & materials, all mapped to the same six-phase delivery methodology — flexibility uncommon at this team size.
- 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 AI Agent Development providers
Azumo vs Vstorm Azumo vs Tensorway Azumo vs Stride Consulting Azumo vs Tribe AI Azumo vs Neurons Lab Azumo vs RTS Labs Azumo vs LatentView Analytics Azumo vs Grid Dynamics Azumo vs MathCo Azumo vs Centific Azumo vs Markovate Azumo vs Accenture Azumo vs Cognizant Azumo vs IBM Consulting Azumo vs Kanerika Azumo vs Master of Code Global Azumo vs Matellio Azumo vs Deviniti Azumo vs Azilen Technologies Azumo vs N-iX Azumo vs Innowise Azumo vs Netguru Azumo vs Ideas2IT Azumo vs EffectiveSoft Azumo vs *instinctools Azumo vs Signity Solutions Azumo vs LeewayHertz Azumo vs Softermii Azumo vs DevCom Azumo vs Intuz Azumo vs Cogniteq Azumo vs Codebridge Technology Azumo vs Riseup Labs Azumo vs Uvik Software