Best Machine Learning Agencies

Turing vs Centric Consulting: full comparison for 2026

Last updated: July 2026

Quick verdict

Turing (3.8/5) edges ahead of Centric Consulting (3.7/5) overall. Turing is the better choice for companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension. 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.

Turing vs Centric Consulting: head-to-head summary

Criterion Turing Centric Consulting
Founded 2018 1999
HQ Palo Alto, CA Columbus, OH
Team size 6,859 800+
Rating 3.8 / 5 3.7 / 5
Best for Companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension US mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation
Pricing model Dedicated team, T&M T&M, retainer
Min. engagement Not disclosed $50K+
Primary tech stack Python, TensorFlow, PyTorch Python, Azure, AWS
Industries served saas, fintech, healthcare, retail, financial financial, healthcare, manufacturing, retail, logistics

Turing vs Centric Consulting: overview

Turing

Turing was founded in 2018 by Jonathan Siddharth and Rohan Aroe and is headquartered in Palo Alto, California. The company operates as an AI-powered talent marketplace and technology services firm with a network of 4M+ vetted software engineers, data scientists, and STEM experts. Turing has raised $247M at a $2.2B valuation from WestBridge Capital and Foundation Capital, and serves 1,000+ clients including Fortune 500 companies and governments. Note: Turing is primarily a talent marketplace — clients provide direction; Turing supplies vetted engineers rather than owning ML delivery outcomes. (Funding, valuation, and client count per Turing official website and Crunchbase.)

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: Turing vs Centric Consulting

Capability Turing 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: Turing vs Centric Consulting

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

Pricing comparison: Turing vs Centric Consulting

Criterion Turing Centric Consulting
Minimum engagement Not disclosed $50K+
Engagement models T&M, Dedicated team T&M, Retainer
Rate transparency Not public Minimum disclosed
Price tier Mid-market Accessible

Target audience comparison: Turing vs Centric Consulting

Dimension Turing Centric Consulting
Best company size Startup to mid-market Startup to mid-market
Best industries saas, fintech, healthcare financial, healthcare, manufacturing
Best use cases Staff augmentation for ML engineering team, Rapid placement of vetted data scientists ML strategy within business transformation, Forecasting model for manufacturing operations
Typical project type T&M T&M

Turing vs Centric Consulting: pros and cons

Turing
+ 4M+ AI-vetted engineers — largest pre-screened ML talent pool in the category
+ $2.2B valuation with $247M raised — stable platform with institutional backing
+ 1,000+ clients including Fortune 500 and government organisations
+ Fastest path to pre-screened ML engineer placement
- Talent marketplace model — Turing supplies engineers; client provides direction and owns outcomes
- Less suited to projects needing a delivery firm with end-to-end accountability
- Delivery quality depends on client PM capability — not owned by Turing
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 Turing?

Turing is the right choice for companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension.

AI-vetted 4M+ developer network — fastest route to pre-screened ML talent for staff augmentation. Minimum engagement starts at Not disclosed. Works best with clients in saas, fintech, healthcare, retail, financial.

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: Turing 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 Turing
Your budget is at the lower end Compare: Turing (Not disclosed) vs Centric Consulting ($50K+)
You need specialist depth in a specific vertical Turing
You need staff augmentation or team extension Turing
You need consulting before committing to a build Turing

Use case fit: Turing vs Centric Consulting

Use case Turing fit Centric Consulting fit Winner
Staff augmentation for ML engineering team Strong Limited Turing
Rapid placement of vetted data scientists Strong Limited Turing
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 Turing

Verdict: Turing vs Centric Consulting

Turing (3.8/5) is the stronger overall choice for most Machine Learning projects. AI-vetted 4M+ developer network — fastest route to pre-screened ML talent for staff augmentation. It is best for companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension.

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

Turing vs Centric Consulting FAQ

Is Turing better than Centric Consulting?

Turing (3.8/5) scores higher overall, but "better" depends on your use case. Turing is better for companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension. Centric Consulting is better for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation.

How do Turing and Centric Consulting differ in pricing?

Turing uses dedicated team, t&m pricing with a minimum engagement of Not disclosed. 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: Turing or Centric Consulting?

Turing 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 Turing and Centric Consulting?

Turing's primary differentiator is: ai-vetted 4m+ developer network — fastest route to pre-screened ml talent for staff augmentation. Centric Consulting's primary differentiator is: business-outcome ml consulting — ai within management transformation, not pure technology delivery. They also differ in team size (6,859 vs 800+), minimum engagement (Not disclosed 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.