Best Machine Learning Agencies

Yalantis vs Centric Consulting: full comparison for 2026

Last updated: July 2026

Quick verdict

Yalantis (3.9/5) edges ahead of Centric Consulting (3.7/5) overall. Yalantis is the better choice for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering. 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.

Yalantis vs Centric Consulting: head-to-head summary

Criterion Yalantis Centric Consulting
Founded 2008 1999
HQ Kyiv, Ukraine Columbus, OH
Team size 200–400 800+
Rating 3.9 / 5 3.7 / 5
Best for Healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering US mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation
Pricing model Fixed project, T&M T&M, retainer
Min. engagement $25K+ $50K+
Primary tech stack Python, TensorFlow, PyTorch Python, Azure, AWS
Industries served healthcare, fintech, saas, logistics, manufacturing financial, healthcare, manufacturing, retail, logistics

Yalantis vs Centric Consulting: overview

Yalantis

Yalantis was founded in 2008 and operates with a focus on compliance-first IoT and software engineering alongside machine learning consulting. The company's ML team provides domain-specific consulting, model deployment, and ongoing support, with depth in regulated industries including healthcare and fintech. ML consultants hold master's degrees in machine learning and have production data science experience. (Founded year per Tracxn; specialisation per Yalantis 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: Yalantis vs Centric Consulting

Capability Yalantis 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: Yalantis vs Centric Consulting

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

Pricing comparison: Yalantis vs Centric Consulting

Criterion Yalantis Centric Consulting
Minimum engagement $25K+ $50K+
Engagement models Fixed project, T&M, Retainer T&M, Retainer
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: Yalantis vs Centric Consulting

Dimension Yalantis Centric Consulting
Best company size Startup to mid-market Startup to mid-market
Best industries healthcare, fintech, saas financial, healthcare, manufacturing
Best use cases Compliance-aware ML model for healthcare data, Predictive analytics for fintech risk management ML strategy within business transformation, Forecasting model for manufacturing operations
Typical project type Fixed project T&M

Yalantis vs Centric Consulting: pros and cons

Yalantis
+ Compliance-first approach for regulated healthcare and fintech projects
+ Full-lifecycle ML: from consulting through deployment and support
+ Master's-qualified ML consultants — verifiable technical depth
+ IoT integration experience alongside ML — rare combination
- Ukraine-based delivery carries geographic risk considerations for some clients
- Less suited to pure data science research or exploratory projects
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 Yalantis?

Yalantis is the right choice for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering.

Compliance-first ML delivery — particularly strong for healthcare and regulated fintech with IoT integration needs. Minimum engagement starts at $25K+. Works best with clients in healthcare, fintech, saas, logistics, manufacturing.

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: Yalantis vs Centric Consulting

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Yalantis
You need a large dedicated team for an ongoing programme Check each company's engagement model
Your budget is at the lower end Yalantis
You need specialist depth in a specific vertical Yalantis
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Yalantis

Use case fit: Yalantis vs Centric Consulting

Use case Yalantis fit Centric Consulting fit Winner
Compliance-aware ML model for healthcare data Strong Limited Yalantis
Predictive analytics for fintech risk management Strong Limited Yalantis
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 Limited Limited Both equally

Verdict: Yalantis vs Centric Consulting

Yalantis (3.9/5) is the stronger overall choice for most Machine Learning projects. Compliance-first ML delivery — particularly strong for healthcare and regulated fintech with IoT integration needs. It is best for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering.

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

Yalantis vs Centric Consulting FAQ

Is Yalantis better than Centric Consulting?

Yalantis (3.9/5) scores higher overall, but "better" depends on your use case. Yalantis is better for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering. Centric Consulting is better for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation.

How do Yalantis and Centric Consulting differ in pricing?

Yalantis uses fixed project, t&m 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: Yalantis or Centric Consulting?

Yalantis 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 Yalantis and Centric Consulting?

Yalantis's primary differentiator is: compliance-first ml delivery — particularly strong for healthcare and regulated fintech with iot integration needs. Centric Consulting's primary differentiator is: business-outcome ml consulting — ai within management transformation, not pure technology delivery. They also differ in team size (200–400 vs 800+), minimum engagement ($25K+ vs $50K+), and primary industries served (healthcare, fintech vs financial, healthcare).

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