Best Machine Learning Agencies

Azumo vs Centric Consulting: full comparison for 2026

Last updated: July 2026

Quick verdict

Azumo (3.8/5) edges ahead of Centric Consulting (3.7/5) overall. Azumo is the better choice for uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment. Centric Consulting is the stronger option for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation. The right choice depends on your project size, budget, and required tech stack.

Azumo vs Centric Consulting: head-to-head summary

Criterion Azumo Centric Consulting
Founded 2016 1999
HQ San Francisco, CA Columbus, OH
Team size 100–250 800+
Rating 3.8 / 5 3.7 / 5
Best for US companies seeking cost-effective nearshore ML development with Latin American time-zone alignment US mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation
Pricing model T&M, dedicated team T&M, retainer
Min. engagement $25K+ $50K+
Primary tech stack Python, TensorFlow, PyTorch Python, Azure, AWS
Industries served saas, fintech, healthcare, retail, logistics financial, healthcare, manufacturing, retail, logistics

Azumo vs Centric Consulting: overview

Azumo

Azumo was founded in 2016 and is headquartered in San Francisco, with its development centre in Latin America. The company positions itself as a nearshore AI and ML engineering partner for US companies, providing cost-effective development with US time-zone alignment. Azumo offers AI vision models for mobile, web, and edge devices alongside general ML engineering. (Founding year, HQ, and delivery model per Azumo official website.)

Centric Consulting

Centric Consulting is a US-based management consulting firm with 25 years of experience, headquartered in Columbus, Ohio, with 800+ professionals. The company provides AI strategy, ML consulting, cloud solutions, and cyber risk management, positioning ML as a tool for business forecasting, fraud detection, and process optimisation within broader transformation programmes. (Founding year and scale per Centric Consulting official website.)

Services and capabilities: Azumo vs Centric Consulting

Capability Azumo Centric Consulting
Custom ML build
ML consulting
Computer vision
NLP / LLM
Predictive analytics
MLOps
Data engineering
Generative AI
Staff augmentation
Fixed-price projects
Dedicated team model

Tech stack comparison: Azumo vs Centric Consulting

Framework / platform Azumo Centric Consulting
Python
TensorFlow N/A
PyTorch N/A
AWS SageMaker N/A N/A
Azure ML N/A N/A

Pricing comparison: Azumo vs Centric Consulting

Criterion Azumo Centric Consulting
Minimum engagement $25K+ $50K+
Engagement models T&M, Dedicated team T&M, Retainer
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: Azumo vs Centric Consulting

Dimension Azumo Centric Consulting
Best company size Startup to mid-market Startup to mid-market
Best industries saas, fintech, healthcare financial, healthcare, manufacturing
Best use cases Computer vision for edge or mobile device, ML model for mobile fintech app ML strategy within business transformation, Forecasting model for manufacturing operations
Typical project type T&M T&M

Azumo vs Centric Consulting: pros and cons

Azumo
+ Latin American nearshore team — US time-zone alignment without premium on-shore costs
+ Computer vision and mobile ML specialisation
+ US-headquartered leadership for accountability and IP clarity
+ Edge device and mobile ML deployment experience
- Nearshore delivery model requires strong async communication discipline
- Less depth in data engineering or MLOps compared to larger ML firms
Centric Consulting
+ 25 years of US management consulting experience — strong business context
+ ML integrated within broader transformation programme delivery
+ Multiple US locations — accessible for on-site engagement
+ Azure and cloud expertise alongside ML consulting
- ML is an ancillary offering within management consulting — not ML-first
- Higher overhead than boutique ML agencies — pricing reflects consulting firm structure
- Less suited to pure technical ML builds or data engineering

Who should choose Azumo?

Azumo is the right choice for uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment.

Latin American nearshore delivery — US time-zone alignment with rates below fully on-shore alternatives. Minimum engagement starts at $25K+. Works best with clients in saas, fintech, healthcare, retail, logistics.

Who should choose Centric Consulting?

Centric Consulting is the right choice for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation.

Business-outcome ML consulting — AI within management transformation, not pure technology delivery. Minimum engagement starts at $50K+. Works best with clients in financial, healthcare, manufacturing, retail, logistics.

Decision matrix: Azumo vs Centric Consulting

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Both offer fixed-price models
You need a large dedicated team for an ongoing programme Azumo
Your budget is at the lower end Azumo
You need specialist depth in a specific vertical Azumo
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Azumo

Use case fit: Azumo vs Centric Consulting

Use case Azumo fit Centric Consulting fit Winner
Computer vision for edge or mobile device Strong Limited Azumo
ML model for mobile fintech app Strong Strong Both equally
ML strategy within business transformation Strong Strong Both equally
Forecasting model for manufacturing operations Limited Strong Centric Consulting
Fixed-price build Limited Limited Both equally
Staff augmentation Strong Limited Azumo

Verdict: Azumo vs Centric Consulting

Azumo (3.8/5) is the stronger overall choice for most Machine Learning projects. Latin American nearshore delivery — US time-zone alignment with rates below fully on-shore alternatives. It is best for uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment.

Centric Consulting (3.7/5) is the better choice when uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation. If your situation matches those criteria, Centric Consulting is a competitive option.

Related comparisons

Azumo vs Centric Consulting FAQ

Is Azumo better than Centric Consulting?

Azumo (3.8/5) scores higher overall, but "better" depends on your use case. Azumo is better for uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment. Centric Consulting is better for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation.

How do Azumo and Centric Consulting differ in pricing?

Azumo uses t&m, dedicated team pricing with a minimum engagement of $25K+. Centric Consulting uses t&m, retainer pricing with a minimum engagement of $50K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Azumo or Centric Consulting?

Azumo is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.

What are the main differences between Azumo and Centric Consulting?

Azumo's primary differentiator is: latin american nearshore delivery — us time-zone alignment with rates below fully on-shore alternatives. Centric Consulting's primary differentiator is: business-outcome ml consulting — ai within management transformation, not pure technology delivery. They also differ in team size (100–250 vs 800+), minimum engagement ($25K+ vs $50K+), and primary industries served (saas, fintech vs financial, healthcare).

Last reviewed: July 2026. Verify all details directly with each agency before making a decision.