Best Machine Learning Agencies

NineTwoThree AI Studio vs Modak: full comparison for 2026

Last updated: July 2026

Quick verdict

NineTwoThree AI Studio (4.1/5) edges ahead of Modak (3.7/5) overall. NineTwoThree AI Studio is the better choice for mid-market companies and scale-ups building AI and ML products with a boutique studio partner. 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.

NineTwoThree AI Studio vs Modak: head-to-head summary

Criterion NineTwoThree AI Studio Modak
Founded 2012 2016
HQ Boston, MA San Jose, CA
Team size 50–100 100–200
Rating 4.1 / 5 3.7 / 5
Best for Mid-market companies and scale-ups building AI and ML products with a boutique studio partner Large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption
Pricing model Fixed project, T&M T&M, retainer
Min. engagement $25K+ $50K+
Primary tech stack Python, OpenAI, LangChain Python, Apache Spark, Databricks
Industries served saas, healthcare, retail, fintech, logistics financial, healthcare, manufacturing, logistics, saas

NineTwoThree AI Studio vs Modak: overview

NineTwoThree AI Studio

NineTwoThree AI Studio was founded in 2012 and is based in Boston, Massachusetts. The studio has delivered 150+ projects and has been ranked in the Clutch Top 50 alongside Microsoft, NVIDIA, and IBM for AI consultancy. NineTwoThree was named to the Inc. 5000 in 2025. The studio specialises in custom AI and ML development, conversational AI, computer vision, and enterprise automation for mid-market and growth-stage companies. (Rankings and project count per NineTwoThree official website and Inc. 5000 listing.)

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: NineTwoThree AI Studio vs Modak

Capability NineTwoThree AI Studio 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: NineTwoThree AI Studio vs Modak

Framework / platform NineTwoThree AI Studio Modak
Python
TensorFlow N/A
PyTorch N/A
AWS SageMaker N/A N/A
Azure ML N/A N/A

Pricing comparison: NineTwoThree AI Studio vs Modak

Criterion NineTwoThree AI Studio Modak
Minimum engagement $25K+ $50K+
Engagement models Fixed project, T&M T&M, Retainer
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: NineTwoThree AI Studio vs Modak

Dimension NineTwoThree AI Studio Modak
Best company size Startup to mid-market Startup to mid-market
Best industries saas, healthcare, retail financial, healthcare, manufacturing
Best use cases Custom AI chatbot for customer service, Computer vision inspection system Enterprise data modernisation for AI readiness, ML-powered ETL and data prep pipeline
Typical project type Fixed project T&M

NineTwoThree AI Studio vs Modak: pros and cons

NineTwoThree AI Studio
+ Clutch Top 50 AI consultancy — independently ranked alongside Microsoft and NVIDIA
+ Inc. 5000 recognition in 2025 signals strong revenue growth
+ 150+ completed projects across AI and software
+ Boutique studio model: direct principal involvement on every project
+ GenAI and LLM integration alongside classical ML
- Small team (50–100) limits capacity for large multi-track programmes
- Primarily mid-market focus — less suited to Fortune 500 governance requirements
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 NineTwoThree AI Studio?

NineTwoThree AI Studio is the right choice for mid-market companies and scale-ups building AI and ML products with a boutique studio partner.

Inc. 5000 AI studio with Clutch Top 50 ranking — boutique delivery model with direct principal access. Minimum engagement starts at $25K+. Works best with clients in saas, healthcare, retail, fintech, 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: NineTwoThree AI Studio vs Modak

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

Use case fit: NineTwoThree AI Studio vs Modak

Use case NineTwoThree AI Studio fit Modak fit Winner
Custom AI chatbot for customer service Strong Limited NineTwoThree AI Studio
Computer vision inspection system Strong Limited NineTwoThree AI Studio
Enterprise data modernisation for AI readiness Strong Strong Both equally
ML-powered ETL and data prep pipeline Strong Strong Both equally
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: NineTwoThree AI Studio vs Modak

NineTwoThree AI Studio (4.1/5) is the stronger overall choice for most Machine Learning projects. Inc. 5000 AI studio with Clutch Top 50 ranking — boutique delivery model with direct principal access. It is best for mid-market companies and scale-ups building AI and ML products with a boutique studio partner.

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

NineTwoThree AI Studio vs Modak FAQ

Is NineTwoThree AI Studio better than Modak?

NineTwoThree AI Studio (4.1/5) scores higher overall, but "better" depends on your use case. NineTwoThree AI Studio is better for mid-market companies and scale-ups building AI and ML products with a boutique studio partner. Modak is better for large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption.

How do NineTwoThree AI Studio and Modak differ in pricing?

NineTwoThree AI Studio uses fixed project, t&m pricing with a minimum engagement of $25K+. 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: NineTwoThree AI Studio 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 NineTwoThree AI Studio and Modak?

NineTwoThree AI Studio's primary differentiator is: inc. 5000 ai studio with clutch top 50 ranking — boutique delivery model with direct principal access. 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 (50–100 vs 100–200), minimum engagement ($25K+ vs $50K+), and primary industries served (saas, healthcare vs financial, healthcare).

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