Top AI Agent Developers

Azumo

Nearshore and onshore AI application engineering

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, with referral clients including Meta, Omnicom, and UnitedHealth.

Azumo 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
LLM Integration
Data & Analytics Agents
Task Automation

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 teams, elite reasoning-agent talent. Deep AGI-infrastructure focus (reasoning, coding, complex problem-solving) backed by a very large vetted engineering bench 4.6 Full comparison
Spiral Scout CTOs evaluating vendors with their own production runtime. Built and maintains its own agent orchestration runtime (Wippy.ai), plus certified Temporal Solution Provider status 4.5 Full comparison
Tensorway Senior-only agent specialists, no generalist overhead. Every line of orchestration code is written by a senior engineer working full-time on agent systems — no junior bench, no generalist hand-off — across a modern LangChain/LangGraph/AutoGen stack. 4.3 Full comparison
Vstorm Mid-market and enterprise buyers, boutique team with named... Verified enterprise client roster (Mercedes-Benz, Intel) despite a small team size 4.2 Full comparison
Grid Dynamics Large enterprises, public-company scale and compliance rigor. Publicly traded (Nasdaq: GDYN) with 4,500+ engineers — unmatched scale and financial transparency in this roster 4.1 Full comparison
SoftServe Enterprises wanting decades of engineering process rigor. 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 agent programs. 2,400+ engineers with 20+ years of engineering track record predating its agentic AI practice 4.0 Full comparison
Waverley Software FinTech, Healthcare, Robotics buyers — long-tenured domain partner. 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 one vendor, multi-vertical scale. 3,500+ engineers with named vertical specialization across 7+ industries, not a single-domain shop 3.9 Full comparison
Ascendion Global 2000 buyers, AI-native firm built for the... Built from inception (2022) around AI-powered engineering rather than retrofitting AI onto a legacy delivery model 3.9 Full comparison
GeekyAnts Product teams, AI-agent features within custom software builds. 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, dedicated AI agent... 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, AI-augmented software delivery. 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. CaptiveCoE™ model gives clients a dedicated center of excellence rather than a shared delivery pool 3.8 Full comparison
Netguru Digital product companies, proven internal-agent case study. Publicly documented internal production agent (Omega) as proof of applied agent-building capability 3.7 Full comparison
Kanerika Data-heavy enterprises, agents tied into analytics/BI pipelines. Named, production-deployed internal agent suite (Karl, DokGPT, and others) beyond generic client demos 3.7 Full comparison
Quytech Buyers wanting agentic AI plus computer vision/AR, one... Broader AI portfolio spanning agentic AI, computer vision, and AR/VR beyond agents alone 3.7 Full comparison
Matellio Enterprises wanting AI agents within a modernization project. 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, decade-plus dedicated-team partner. 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 documented, live production agent deployments. Reports 100+ enterprise agent deployments already in production across three named framework stacks 3.6 Full comparison
Azilen Technologies FinTech, HRTech, manufacturing buyers — vertical AI agent... Explicit vertical focus across FinTech, manufacturing, and HRTech rather than horizontal generalism 3.6 Full comparison
Instinctools Enterprises wanting a long-tenured European dedicated-team partner. 25 years of continuous engineering delivery under the same founding leadership, spanning Germany and the US 3.6 Full comparison
Miquido Product teams wanting an analyst-recognized AI partner. Independently recognized by Clutch as a Global Leader in Artificial Intelligence, not just self-marketed 3.6 Full comparison
EffectiveSoft Buyers wanting Eastern European depth, US corporate umbrella. 25 years of software delivery history with dedicated Eastern European development centers 3.5 Full comparison
DevSquad Early-stage product teams, agent dev plus strategy guidance. Combines product-market-fit strategy work with AI agent development, useful for teams still validating their product 3.5 Full comparison
Cogniteq EU buyers wanting a Baltic-region, two-decade partner. 20 years of full-cycle software delivery based in the EU (Lithuania), useful for EU data-residency needs 3.5 Full comparison
Deviniti Atlassian-tooling teams wanting agents in that ecosystem. Atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience 3.4 Full comparison
DevCom Buyers wanting one US-HQ vendor, strategy through support. Full lifecycle ownership (strategy through production support) under one US-headquartered vendor 3.4 Full comparison
Softermii Startups wanting US-facing account team, Eastern-Europe R&D. Dedicated Kyiv R&D center paired with US-based (LA/Vegas) client-facing presence 3.4 Full comparison
Codebridge Technology Cost-sensitive buyers, Delaware entity, Ukrainian delivery. 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 Cost-sensitive buyers, ISO-certified rigor at South Asian rates. 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?

Nearshore and onshore AI application engineering

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 savings, 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: every line of orchestration code is written by a senior engineer working full-time on agent systems — no junior bench, no generalist hand-off — across a modern langchain/langgraph/autogen stack.
See full alternatives list

Compare Azumo with other AI Agent developers