Azumo
Nearshore and onshore AI application engineering services
Founded 2016 | San Francisco, USA | 51-100 employees
llm-integrationdata-analytics-agentstask-automation
What is Azumo?
Azumo was founded in 2016 and is headquartered in San Francisco, California, with roughly 51-200 employees (79 reported directly). The company helps organizations design, build, and scale intelligent AI applications through nearshore and onshore engineering teams on dedicated-team or T&M terms, with referral clients including Meta, Omnicom, and UnitedHealth.
Azumo was founded in 2016 and is headquartered in San Francisco, USA. The firm employs 51-100 people and works primarily with clients in Media, Healthcare, Retail sectors. Its primary differentiator is: Primarily referral-driven client base including named enterprise brands (Meta, UnitedHealth).
Azumo tech stack and services
OpenAILangChainAWSPython
| Service area | Details |
|---|---|
| Nearshore AI application engineering services | Available for Media, Healthcare, Retail clients |
| LLM-powered feature development | Available for Media, Healthcare, Retail clients |
| Data-analytics agent service integration | Available for Media, Healthcare, Retail clients |
Azumo use cases
Short answer: Azumo is best suited for buyers wanting nearshore service cost savings without giving up US-based account management.
| Use case | Industries | Approach |
|---|---|---|
| Nearshore AI application engineering services | Media, Healthcare | OpenAI, LangChain |
| LLM-powered feature development | Media, Healthcare | OpenAI, LangChain |
| Data-analytics agent service integration | Media, Healthcare | OpenAI, LangChain |
Azumo pricing
Short answer: Azumo uses a dedicated team, t&m pricing approach. Minimum engagement starts at $20K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| T&M | Variable; depends on team size | Large programmes or team augmentation |
| Fixed project | From $20K | Well-defined scope |
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 |
|---|---|
| +Referral-driven growth with named enterprise clients (Meta, UnitedHealth) signals strong repeat trust | -Smaller team (~79-100) limits capacity for very large concurrent service programs |
| +Nearshore/onshore blend balances cost and real-time collaboration | -Newer AI-application focus (relative to 2016 founding) has a shorter dedicated agent service track record |
| +US HQ simplifies contracting for North American buyers |
Azumo vs alternatives
How Azumo compares to the other top AI Agent Development providers.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Spiral Scout | Buyers who want a proprietary production runtime, not... | Certified Temporal Solution Provider with a proprietary agent runtime (Wippy.ai) | 4.7 | Full comparison |
| Tensorway | Teams that need a senior, agent-specialist services team... | 100% of delivery staff are senior AI engineers — no junior bench, no agent-to-generalist handoff | 4.5 | Full comparison |
| Vstorm | Mid-market and enterprise buyers wanting a boutique services... | Verified enterprise client roster (Mercedes-Benz, Intel) despite a small team size | 4.2 | Full comparison |
| Grid Dynamics | Large enterprises needing public-company scale, compliance rigor, and... | Publicly traded (Nasdaq: GDYN) with 4,500+ engineers — unmatched scale and financial transparency in this roster | 4.0 | Full comparison |
| N-iX | Enterprises needing large-scale, multi-year AI agent service programs... | 2,400+ engineers with 20+ years of engineering track record predating its agentic AI practice | 3.9 | Full comparison |
| Ideas2IT | Engineering-heavy buyers interested in AI-augmented software delivery services... | Proprietary Agentic SDLC Studio applying agents to its own software delivery process, not just client-facing products | 3.9 | Full comparison |
| Netguru | Digital product companies wanting a proven internal-agent case... | Publicly documented internal production agent (Omega) as proof of applied agent-building capability | 3.8 | Full comparison |
| Kanerika | Data-heavy enterprises wanting agent services tied directly into... | Named, production-deployed internal agent suite (Karl, DokGPT, and others) beyond generic service pitches | 3.7 | Full comparison |
| Accenture | Global enterprises wanting a top-tier professional services brand... | Named proprietary agentic framework (AI Refinery / Distiller) covering the full agent lifecycle: memory, orchestration, governance, and interoperability | 3.7 | Full comparison |
| DXC Technology | Enterprises wanting a named AI-lab partnership (Anthropic) with... | Direct partnership with Anthropic, with tens of thousands of Claude-certified engineers — a rare, independently verifiable AI-lab relationship | 3.7 | Full comparison |
| Innowise | Buyers wanting large-scale offshore service capacity with an... | 3,500+ person full-cycle software firm with a dedicated internal AI Hub, not a small AI-only shop | 3.6 | Full comparison |
| Azilen Technologies | FinTech, HRTech, and manufacturing buyers wanting vertical-specific AI... | Explicit vertical focus across FinTech, manufacturing, and HRTech rather than horizontal generalism | 3.6 | Full comparison |
| Quytech | Buyers wanting agentic AI services paired with computer... | Broader AI portfolio spanning agentic AI, computer vision, and AR/VR beyond agents alone | 3.6 | Full comparison |
| Matellio | Enterprises wanting AI agent services alongside a larger... | US-HQ enterprise software firm with true multi-country delivery (UK, France, Germany) beyond a single offshore hub | 3.6 | Full comparison |
| Master of Code Global | Brands wanting conversational AI agent services with named... | 20+ years of conversational AI specialization with named enterprise consumer brands (T-Mobile, Burberry) | 3.6 | Full comparison |
| GeekyAnts | Product teams wanting AI-agent services embedded into a... | 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon) | 3.5 | Full comparison |
| Signity Solutions | Cost-conscious buyers wanting a full AI-first services practice,... | Documented evolution from web development to AI-first agentic services, with MLOps as a distinct capability | 3.5 | Full comparison |
| LeewayHertz | Buyers who want the stability of a Hackett... | Now backed by The Hackett Group's consulting and benchmarking resources following its 2024 acquisition | 3.5 | Full comparison |
| Intuz | Buyers wanting a documented count of live production... | Reports 100+ enterprise agent deployments already in production across three named framework stacks | 3.5 | Full comparison |
| Instinctools | Enterprises wanting a long-tenured European services partner for... | 25 years of continuous engineering delivery under the same founding leadership, spanning Germany and the US | 3.4 | Full comparison |
| EffectiveSoft | Buyers wanting established Eastern European engineering depth under... | 25 years of software delivery history with dedicated Eastern European development centers | 3.4 | Full comparison |
| Capgemini | Global enterprises wanting a European-headquartered services group with... | Publicly announced €2 billion, three-year AI investment commitment — a concrete, quantified financial signal of scale | 3.4 | Full comparison |
| HCLTech | Enterprises wanting a named agent lifecycle management platform... | Named platform (AI Force) specifically covering agent lifecycle management and SDLC/ITOps acceleration, not just generic AI services | 3.3 | Full comparison |
| Cognizant | Enterprises wanting a pre-built agent library to accelerate... | Named Agent Foundry platform with a library of pre-configured, domain-specific agents ready for enterprise deployment | 3.3 | Full comparison |
| LTIMindtree | Enterprises wanting a merged, broad-portfolio Indian IT services... | Combines LTI's enterprise-systems depth with Mindtree's digital-native culture following their 2022 merger | 3.3 | Full comparison |
| Wipro | Enterprises wanting a named contact-center agent-assist product bundled... | Named AI-DC contact-center agent solution with RAG-based knowledge assistance and compliance tracking built in | 3.1 | Full comparison |
| Infosys | Enterprises wanting a large, named library of pre-built... | 200+ named enterprise AI agents already launched via Topaz, built on Google Cloud's Vertex AI Platform | 3.1 | Full comparison |
| Tata Consultancy Services | Enterprises wanting the largest, most globally distributed Tata... | Backed by the Tata Group conglomerate, with a named Gemini Experience Center for agentic AI adoption | 3.0 | Full comparison |
| Deviniti | Teams already on Atlassian tooling wanting AI agent... | Atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration service experience | 3.2 | Full comparison |
| DevCom | Buyers wanting a single US-HQ vendor to own... | Full lifecycle ownership (strategy through production support) under one US-headquartered vendor | 3.2 | Full comparison |
| Softermii | Startups wanting a US-facing account team backed by... | Dedicated Kyiv R&D center paired with US-based (LA/Vegas) client-facing presence | 3.2 | Full comparison |
| Codebridge Technology | Cost-sensitive buyers wanting a Delaware-incorporated vendor with Ukrainian... | US legal incorporation (Delaware) paired with Kyiv-based engineering delivery for contracting simplicity | 3.2 | Full comparison |
| Uvik Software | Startups needing one or two senior Python/AI engineers... | Narrow staff-augmentation model of individual senior Python/AI/ML specialists at low minimum spend | 3.0 | Full comparison |
| Riseup Labs | Highly cost-sensitive buyers who need ISO-certified process rigor... | ISO 9001 and 27001 certification brings documented process/security rigor at a low-cost delivery base | 2.9 | Full comparison |
Azumo FAQ
What is Azumo?
Azumo was founded in 2016 and is headquartered in San Francisco, California, with roughly 51-200 employees (79 reported directly). The company helps organizations design, build, and scale intelligent AI applications through nearshore and onshore engineering teams on dedicated-team or T&M terms, with referral clients including Meta, Omnicom, and UnitedHealth.
How much does Azumo charge?
Azumo uses dedicated team, t&m pricing. Minimum engagement starts at $20K. A discovery call is required to get project-specific quotes.
What tech stack does Azumo use?
Azumo works with OpenAI, LangChain, AWS, Python. Primary industries served include Media, Healthcare, Retail.
Is Azumo right for enterprise?
Buyers wanting nearshore service cost savings without giving up US-based account management. 51-100 team size. Key consideration: Smaller team (~79-100) limits capacity for very large concurrent service programs.
What are the best Azumo alternatives?
The best alternatives to Azumo depend on your use case. Top options are:
- Spiral Scout: certified temporal solution provider with a proprietary agent runtime (wippy.ai)
- Tensorway: 100% of delivery staff are senior ai engineers — no junior bench, no agent-to-generalist handoff
- Vstorm: verified enterprise client roster (mercedes-benz, intel) despite a small team size
Compare Azumo with other AI Agent Development providers
Azumo vs Spiral Scout Azumo vs Tensorway Azumo vs Vstorm Azumo vs Grid Dynamics Azumo vs N-iX Azumo vs Ideas2IT Azumo vs Netguru Azumo vs Kanerika Azumo vs Accenture Azumo vs DXC Technology Azumo vs Innowise Azumo vs Azilen Technologies Azumo vs Quytech Azumo vs Matellio Azumo vs Master of Code Global Azumo vs GeekyAnts Azumo vs Signity Solutions Azumo vs LeewayHertz Azumo vs Intuz Azumo vs Instinctools Azumo vs EffectiveSoft Azumo vs Capgemini Azumo vs HCLTech Azumo vs Cognizant Azumo vs LTIMindtree Azumo vs Wipro Azumo vs Infosys Azumo vs Tata Consultancy Services Azumo vs Deviniti Azumo vs DevCom Azumo vs Softermii Azumo vs Codebridge Technology Azumo vs Uvik Software Azumo vs Riseup Labs