Azumo: AI Development & Custom Software Engineering
Overview
Azumo is a San Francisco-based AI development and custom software engineering company founded in 2016, operating a nearshore delivery model with engineering teams across the US and Latin America. The company reports a 4.9/5 Clutch rating from 25 verified reviews, 100+ AI and software projects shipped, a 93% Net Promoter Score, and 150% annual retention rate. Azumo is SOC 2 certified and serves Fortune 100 clients including Meta (Facebook), Omnicom, UnitedHealth, and Discovery Channel. [Cross-checked: company website, Clutch, LinkedIn, July 2026]
Provider Snapshot
Attribute
Value
Provider Name
Azumo
Headquarters
Portola Valley, California, United States [Cross-checked: Clutch, July 2026]
Founded
2016 [Cross-checked: multiple public sources, July 2026]
AI development, agentic AI, conversational AI, data engineering, custom software, DevOps
Pricing Signal
$10K–$70K typical project; $25–$49/hr [Cross-checked: Clutch, July 2026]
Vetted Status
Community (seed listing)
Evidence Summary
This listing draws on the provider’s public website (azumo.com), Clutch.co profile (25 reviews, 4.9/5), LinkedIn company page, and published case studies. Named client relationships (Meta, Omnicom, UnitedHealth, Discovery Channel, Twitter) are sourced from the provider’s public case study pages and LinkedIn overview. Azumo has not claimed this listing.
Sources, evidence, services, PSI and FAQ
Services and Capabilities
Azumo’s service lines include [Cross-checked: company website, Clutch, July 2026]:
AI and Machine Learning — Custom AI models, LLM fine-tuning, generative AI, predictive analytics using OpenAI, Anthropic, LangChain, PyTorch [Cross-checked: company website]
Agentic AI Systems — Autonomous AI agents, multi-agent orchestration, production voice agents with LiveKit [Cross-checked: company website]
Conversational AI and Chatbots — Voice AI agents, customer support chatbots, real-time interaction using Charli (proprietary) [Cross-checked: company website]
Data Engineering and Analytics — Data pipelines, ETL, real-time analytics with Databricks and AWS [Cross-checked: company website]
Web and Mobile Development — SaaS platforms, internal tools, iOS/Android apps using React, Next.js, Node.js [Cross-checked: company website]
DevOps and Cloud Infrastructure — Cloud architecture, CI/CD, Kubernetes, cloud migration on AWS and Azure [Cross-checked: company website]
Use Cases and Workflow Scope
Use Case
Description
Typical Platform
AI and Machine Learning
Custom AI models, LLM fine-tuning, generative AI, predictive analytics
OpenAI, Anthropic, LangChain, PyTorch
Agentic AI Systems
Autonomous AI agents, multi-agent orchestration, production voice agents
Custom AI stacks, LiveKit
Conversational AI and Chatbots
Voice AI agents, customer support chatbots, real-time interaction
Charli (proprietary), GPT, LiveKit
Data Engineering and Analytics
Data pipelines, ETL, real-time analytics, Databricks
Based on Azumo’s client portfolio and published case studies, the company serves enterprise technology, healthcare (UnitedHealth), media and entertainment (Discovery Channel, Twitter), advertising (Omnicom), and social media (Meta). Nearshore delivery teams across US and Latin America support clients primarily in North America. [Cross-checked: company website, LinkedIn, July 2026]
Notable Clients
Azumo’s public case studies and LinkedIn profile document client relationships including Meta (Facebook), Omnicom, UnitedHealth, Discovery Channel, and Twitter (private event app built). [Cross-checked: LinkedIn company overview, azumo.com case studies, July 2026] These client references are sourced from the provider’s public materials and have not been independently verified as active engagements.
Headquartered in Portola Valley, California (San Francisco Bay Area), with engineering teams across Latin America (Argentina, Uruguay, Colombia, Mexico). Service coverage: Global/Worldwide with US and Latin America focus. Work Mode: Remote/Hybrid. Engagement types: Project-based and dedicated teams. Typical project $10,000–$70,000+. Minimum engagement $10,000. Hourly rate $25–$49/hr. [Cross-checked: Clutch, company website, July 2026]
Pricing and Engagement Model
Clutch data shows a minimum project size of $10,000, with typical projects ranging $10,000–$70,000. Hourly rate range: $25–$49/hr. Engagement models include project-based contracts and dedicated team placements. Free consultation available. Azumo’s nearshore model offers cost-effective engineering talent from Latin America aligned with US time zones. [Cross-checked: Clutch, July 2026]
Certifications and Compliance
Certifications: SOC 2 compliant. [Cross-checked: azumo.com website, July 2026]
[Data: Additional compliance certifications (HIPAA, GDPR, ISO 27001) not publicly referenced in sources reviewed.]
PSI: insufficient data (minimum 10 reviews required). As a seed listing, Azumo has not yet accumulated enough verified client reviews on FlowVetted to calculate a PSI score. Once 10 or more verified reviews are published, the PSI will be calculated as the weighted sum of four axes: Delivery Quality (×0.35), Communication (×0.25), Value (×0.25), and Reliability (×0.15).
External Ratings
The following information is from third-party platforms for informational reference only. It is NOT part of FlowVetted’s Provider Satisfaction Index and is NOT included in PSI calculations or structured schema markup.
Clutch.co: 4.9/5 from 25 verified reviews [Source: clutch.co, July 2026]
Best Fit For
Mid-market to enterprise organizations needing nearshore AI and software development teams
Companies requiring AI agent development, conversational AI, or custom LLM applications
Organizations seeking SOC 2 compliant development partners with US+LATAM delivery
Projects with budgets of $25,000+ requiring dedicated engineering teams
Data recorded, standardized, and verified by FlowVetted.
Provider website (azumo.com) — primary source for services, case studies, client logos, SOC 2 certification, and company information
Clutch.co profile (clutch.co/profile/azumo) — verified reviews, project size, location, founded year, team size, and pricing
LinkedIn company page (linkedin.com/company/azumo-llc) — team size, client references, and corporate information
No detail was added without a traceable source tied to Azumo.
Verification date: July 2026. Next review: July 2027 or upon provider claim.
Claim This Listing / Request Removal
This listing is unclaimed. If you represent Azumo, you may claim this profile to verify or update the information. To request removal, contact FlowVetted via the inquiry form.
FAQ
What AI services does Azumo offer?
As of July 2026, Azumo reports services across AI and ML development, agentic AI systems, conversational AI and voice agents, data engineering and analytics, web and mobile development, and DevOps and cloud infrastructure. [Cross-checked: azumo.com, LinkedIn]
How large is the Azumo team?
Azumo employs 50–249 core staff with 112+ associated members on LinkedIn. The company has engineering teams across the US and Latin America. [Cross-checked: Clutch, LinkedIn, July 2026]
Who are Azumo’s notable clients?
The company lists Meta (Facebook), Omnicom, UnitedHealth, and Discovery Channel as clients on its LinkedIn profile and website. Azumo also built a private event app for Twitter. [Cross-checked: LinkedIn, azumo.com case studies, July 2026]
What is Azumo’s typical project budget?
Clutch data shows a minimum project size of $10,000, with typical projects ranging $10,000–$70,000. The average hourly rate is $25–$49/hr. The company also offers dedicated team engagements. [Cross-checked: Clutch, July 2026]
Is Azumo SOC 2 certified?
Yes. Azumo states SOC 2 compliance on its website. [Cross-checked: azumo.com, July 2026]
What is Azumo’s pricing structure?
Project-based engagements range from $10,000 to $70,000. Hourly rate is $25–$49/hr. Dedicated team placements also available. Free consultation. Nearshore model offers cost-effective engineering from Latin America aligned with US time zones. [Cross-checked: Clutch, July 2026]
PSI (out of 10) = (Delivery×0.35 + Communication×0.25 + Value×0.25 + Reliability×0.15) × 2. Averaged from reviews. Published only after at least 10 ratings.
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