Azumo
Nearshore and onshore AI application engineering
Founded 2016 | San Francisco, USA | 51-100 employees | Last updated: August 2026
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, 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 | Available for Media, Healthcare, Retail clients |
| LLM-powered feature development | Available for Media, Healthcare, Retail clients |
| Data-analytics agent integration | Available for Media, Healthcare, Retail clients |
Azumo use cases
Short answer: Azumo is best suited for buyers wanting nearshore delivery cost savings without giving up US-based account management.
| Use case | Industries | Approach |
|---|---|---|
| Nearshore AI application engineering | Media, Healthcare | OpenAI, LangChain |
| LLM-powered feature development | Media, Healthcare | OpenAI, LangChain |
| Data-analytics agent 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 programs |
| +Nearshore/onshore blend balances cost and real-time collaboration | -Newer AI-application focus (relative to 2016 founding) has a shorter dedicated agent track record |
| +US HQ simplifies contracting for North American buyers |
Azumo vs alternatives
How Azumo compares to the other top AI Agent developers.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Turing | Engineering-heavy teams needing elite technical talent for reasoning-heavy... | Deep AGI-infrastructure focus (reasoning, coding, complex problem-solving) backed by a very large vetted engineering bench | 4.6 | Full comparison |
| Spiral Scout | CTOs who want to evaluate a vendor's own... | Built and maintains its own agent orchestration runtime (Wippy.ai), plus certified Temporal Solution Provider status | 4.5 | Full comparison |
| Tensorway | Teams that need a senior, agent-specialist team without... | 100% of delivery staff are senior AI engineers — no junior bench, no agent-to-generalist handoff | 4.3 | Full comparison |
| Vstorm | Mid-market and enterprise buyers wanting a boutique team... | 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 | 4.1 | Full comparison |
| SoftServe | Enterprises wanting a three-decade engineering firm with deep... | 30+ years of engineering discipline applied to a documented spec-driven approach for agentic workflows | 4.1 | Full comparison |
| N-iX | Enterprises needing large-scale, multi-year AI agent engineering programs... | 2,400+ engineers with 20+ years of engineering track record predating its agentic AI practice | 4.0 | Full comparison |
| Waverley Software | Technical buyers in FinTech, Healthcare, or Robotics wanting... | 30+ years of engineering history explicitly repositioned as AI-first, with deep vertical domain experience (Robotics, Energy, FinTech) | 4.0 | Full comparison |
| Andersen | Enterprises wanting a single vendor with true multi-vertical... | 3,500+ engineers with named vertical specialization across 7+ industries, not a single-domain shop | 3.9 | Full comparison |
| Ascendion | Global 2000 buyers wanting an AI-native engineering firm... | Built from inception (2022) around AI-powered engineering rather than retrofitting AI onto a legacy delivery model | 3.9 | Full comparison |
| GeekyAnts | Product teams wanting AI-agent features embedded into a... | 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon) | 3.9 | Full comparison |
| Innowise | Buyers wanting large-scale offshore delivery capacity with an... | 3,500+ person full-cycle software firm with a dedicated internal AI Hub, not a small AI-only shop | 3.8 | Full comparison |
| Ideas2IT | Engineering-heavy buyers interested in AI-augmented software delivery, not... | Proprietary Agentic SDLC Studio applying agents to its own software delivery process, not just client-facing products | 3.8 | Full comparison |
| Trantor | Enterprises wanting a dedicated, captive engineering center rather... | CaptiveCoE™ model gives clients a dedicated center of excellence rather than a shared delivery pool | 3.8 | 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 | 3.7 | Full comparison |
| Kanerika | Data-heavy enterprises wanting agents tied directly into existing... | Named, production-deployed internal agent suite (Karl, DokGPT, and others) beyond generic client demos | 3.7 | Full comparison |
| Quytech | Buyers wanting agentic AI paired with computer vision... | Broader AI portfolio spanning agentic AI, computer vision, and AR/VR beyond agents alone | 3.7 | Full comparison |
| Matellio | Enterprises wanting AI agents built alongside a larger... | US-HQ enterprise software firm with true multi-country delivery (UK, France, Germany) beyond a single offshore hub | 3.7 | Full comparison |
| Sombra | Buyers wanting a mid-size dedicated-team partner with a... | Founder-led (Viktor Chekh) firm with over a decade of full-cycle engineering ahead of its AI/ML expansion | 3.7 | Full comparison |
| Intuz | Buyers wanting a documented count of live production... | Reports 100+ enterprise agent deployments already in production across three named framework stacks | 3.6 | 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 |
| Instinctools | Enterprises wanting a long-tenured European engineering partner for... | 25 years of continuous engineering delivery under the same founding leadership, spanning Germany and the US | 3.6 | Full comparison |
| Miquido | Product-focused technical teams wanting an analyst-recognized AI engineering... | Independently recognized by Clutch as a Global Leader in Artificial Intelligence, not just self-marketed | 3.6 | Full comparison |
| EffectiveSoft | Buyers wanting established Eastern European engineering depth under... | 25 years of software delivery history with dedicated Eastern European development centers | 3.5 | Full comparison |
| DevSquad | Early-to-growth-stage product teams wanting agent development paired with... | Combines product-market-fit strategy work with AI agent development, useful for teams still validating their product | 3.5 | Full comparison |
| Cogniteq | EU-based buyers wanting a Baltic-region engineering partner with... | 20 years of full-cycle software delivery based in the EU (Lithuania), useful for EU data-residency needs | 3.5 | Full comparison |
| Deviniti | Teams already on Atlassian tooling wanting AI agents... | Atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience | 3.4 | Full comparison |
| DevCom | Buyers wanting a single US-HQ vendor to own... | Full lifecycle ownership (strategy through production support) under one US-headquartered vendor | 3.4 | 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 | 3.4 | 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 | 3.4 | 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 | 3.3 | 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 | 3.3 | 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, 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 delivery 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 programs.
What are the best Azumo alternatives?
The best alternatives to Azumo depend on your use case. Top options are:
- Turing: deep agi-infrastructure focus (reasoning, coding, complex problem-solving) backed by a very large vetted engineering bench
- Spiral Scout: built and maintains its own agent orchestration runtime (wippy.ai), plus certified temporal solution provider status
- Tensorway: 100% of delivery staff are senior ai engineers — no junior bench, no agent-to-generalist handoff
Compare Azumo with other AI Agent developers
Azumo vs Turing Azumo vs Spiral Scout Azumo vs Tensorway Azumo vs Vstorm Azumo vs Grid Dynamics Azumo vs SoftServe Azumo vs N-iX Azumo vs Waverley Software Azumo vs Andersen Azumo vs Ascendion Azumo vs GeekyAnts Azumo vs Innowise Azumo vs Ideas2IT Azumo vs Trantor Azumo vs Netguru Azumo vs Kanerika Azumo vs Quytech Azumo vs Matellio Azumo vs Sombra Azumo vs Intuz Azumo vs Azilen Technologies Azumo vs Instinctools Azumo vs Miquido Azumo vs EffectiveSoft Azumo vs DevSquad Azumo vs Cogniteq Azumo vs Deviniti Azumo vs DevCom Azumo vs Softermii Azumo vs Codebridge Technology Azumo vs Uvik Software Azumo vs Riseup Labs
Last reviewed: August 2026. Verify all details directly with Azumo before making a decision.