Centric Consulting vs Modak: full comparison for 2026
Last updated: July 2026
Quick verdict
Centric Consulting (3.7/5) edges ahead of Modak (3.7/5) overall. Centric Consulting is the better choice for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation. Modak is the stronger option for large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption. The right choice depends on your project size, budget, and required tech stack.
Centric Consulting vs Modak: head-to-head summary
| Criterion | Centric Consulting | Modak |
|---|---|---|
| Founded | 1999 | 2016 |
| HQ | Columbus, OH | San Jose, CA |
| Team size | 800+ | 100–200 |
| Rating | 3.7 / 5 | 3.7 / 5 |
| Best for | US mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation | Large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption |
| Pricing model | T&M, retainer | T&M, retainer |
| Min. engagement | $50K+ | $50K+ |
| Primary tech stack | Python, Azure, AWS | Python, Apache Spark, Databricks |
| Industries served | financial, healthcare, manufacturing, retail, logistics | financial, healthcare, manufacturing, logistics, saas |
Centric Consulting vs Modak: overview
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.)
Modak
Modak is an AI-native data engineering company headquartered in San Jose, California, founded in 2016. The company uses machine learning techniques to transform how structured and unstructured enterprise data is prepared, consumed, and shared — focusing on AI-driven data modernisation for large organisations. Global consulting services help enterprises modernise data infrastructure, accelerate AI readiness, and drive measurable business outcomes. (Founding year and approach per Modak official website and ZoomInfo.)
Services and capabilities: Centric Consulting vs Modak
| Capability | Centric Consulting | Modak |
|---|---|---|
| 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: Centric Consulting vs Modak
| Framework / platform | Centric Consulting | Modak |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: Centric Consulting vs Modak
| Criterion | Centric Consulting | Modak |
|---|---|---|
| Minimum engagement | $50K+ | $50K+ |
| Engagement models | T&M, Retainer | T&M, Retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Centric Consulting vs Modak
| Dimension | Centric Consulting | Modak |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | financial, healthcare, manufacturing | financial, healthcare, manufacturing |
| Best use cases | ML strategy within business transformation, Forecasting model for manufacturing operations | Enterprise data modernisation for AI readiness, ML-powered ETL and data prep pipeline |
| Typical project type | T&M | T&M |
Centric Consulting vs Modak: pros and cons
| 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 |
| Modak | |
|---|---|
| + | ML applied to data engineering itself — accelerates data prep for ML programmes |
| + | AI-native from inception — not a repositioned data warehouse firm |
| + | Strong on unstructured data processing for AI readiness |
| + | San Jose HQ with enterprise client focus |
| - | Data engineering focus — not suited to custom ML model development or computer vision |
| - | Minimum engagement oriented toward large enterprise programmes |
| - | Less suited to companies without an existing large data estate |
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.
Who should choose Modak?
Modak is the right choice for large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption.
ML-powered data engineering — uses ML itself to accelerate data prep and modernisation at enterprise scale. Minimum engagement starts at $50K+. Works best with clients in financial, healthcare, manufacturing, logistics, saas.
Decision matrix: Centric Consulting vs Modak
| 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 | Check each company's engagement model |
| Your budget is at the lower end | Centric Consulting |
| You need specialist depth in a specific vertical | Centric Consulting |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Centric Consulting |
Use case fit: Centric Consulting vs Modak
| Use case | Centric Consulting fit | Modak fit | Winner |
|---|---|---|---|
| ML strategy within business transformation | Strong | Strong | Both equally |
| Forecasting model for manufacturing operations | Strong | Limited | Centric Consulting |
| Enterprise data modernisation for AI readiness | Strong | Strong | Both equally |
| ML-powered ETL and data prep pipeline | Limited | Strong | Modak |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Centric Consulting vs Modak
Centric Consulting (3.7/5) is the stronger overall choice for most Machine Learning projects. Business-outcome ML consulting — AI within management transformation, not pure technology delivery. It is best for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation.
Modak (3.7/5) is the better choice when large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption. If your situation matches those criteria, Modak is a competitive option.
Related comparisons
Centric Consulting vs Modak FAQ
Is Centric Consulting better than Modak?
Centric Consulting (3.7/5) scores higher overall, but "better" depends on your use case. Centric Consulting is better for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation. Modak is better for large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption.
How do Centric Consulting and Modak differ in pricing?
Centric Consulting uses t&m, retainer pricing with a minimum engagement of $50K+. Modak 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: Centric Consulting or Modak?
Modak 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 Centric Consulting and Modak?
Centric Consulting's primary differentiator is: business-outcome ml consulting — ai within management transformation, not pure technology delivery. Modak's primary differentiator is: ml-powered data engineering — uses ml itself to accelerate data prep and modernisation at enterprise scale. They also differ in team size (800+ vs 100–200), minimum engagement ($50K+ vs $50K+), and primary industries served (financial, healthcare vs financial, healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.