Modak
AI-native data engineering firm using ML techniques to modernise how enterprise data is prepared and consumed.
What is 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.)
Modak was founded in 2016 and is headquartered in San Jose, CA. The firm employs 100–200 people and works primarily with clients in financial, healthcare, manufacturing, logistics, saas sectors. Its primary differentiator is: ML-powered data engineering — uses ML itself to accelerate data prep and modernisation at enterprise scale.
Modak tech stack and services
| Service area | Details |
|---|---|
| Enterprise data modernisation for AI readiness | Available for financial, healthcare, manufacturing, logistics, saas clients |
| ML-powered ETL and data prep pipeline | Available for financial, healthcare, manufacturing, logistics, saas clients |
| Unstructured data cataloguing and classification | Available for financial, healthcare, manufacturing, logistics, saas clients |
| Data lake modernisation for ML consumption | Available for financial, healthcare, manufacturing, logistics, saas clients |
| AI data infrastructure for financial services | Available for financial, healthcare, manufacturing, logistics, saas clients |
Modak use cases
Short answer: Modak is best suited for large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption.
| Use case | Industries | Approach |
|---|---|---|
| Enterprise data modernisation for AI readiness | financial, healthcare | Python, Apache Spark |
| ML-powered ETL and data prep pipeline | financial, healthcare | Python, Apache Spark |
| Unstructured data cataloguing and classification | financial, healthcare | Python, Apache Spark |
| Data lake modernisation for ML consumption | financial, healthcare | Python, Apache Spark |
| AI data infrastructure for financial services | financial, healthcare | Python, Apache Spark |
Modak pricing
Short answer: Modak uses a t&m, retainer pricing approach. Minimum engagement starts at $50K+.
| Engagement model | Typical range | Best for |
|---|---|---|
| T&M | Variable; depends on team size | Large programmes or team augmentation |
| Retainer | Monthly rate; not public | Ongoing AI engineering |
Modak pros and cons
| Advantages | Things to consider |
|---|---|
| +ML applied to data engineering itself — accelerates data prep for ML programmes | -Data engineering focus — not suited to custom ML model development or computer vision |
| +AI-native from inception — not a repositioned data warehouse firm | -Minimum engagement oriented toward large enterprise programmes |
| +Strong on unstructured data processing for AI readiness | -Less suited to companies without an existing large data estate |
| +San Jose HQ with enterprise client focus |
Modak vs alternatives
How Modak compares to the other top Machine Learning agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market teams needing custom ML builds with full... | Full-lifecycle ML ownership — model design, training infrastructure, and drift monitoring in one team | 4.8 | Full comparison |
| InData Labs | Fintech, healthcare, and SaaS companies needing production-grade ML... | Deep ML and GenAI specialist with 10+ years of production deployments across regulated industries | 4.6 | Full comparison |
| Artefact | Large enterprises and major consumer brands seeking industrial-scale... | Enterprise ML at 1,500-consultant scale across 26 countries — strategy, deployment, and AI factory in one firm | 4.5 | Full comparison |
| N-iX | Enterprise teams needing multidisciplinary ML and cloud engineering... | 2,400+ engineers covering ML, cloud, and data under one firm — strong for large multi-track programmes | 4.4 | Full comparison |
| Sigmoid | Fortune 500 retail, CPG, and financial services firms... | Sequoia-backed AI and data engineering specialist with a Fortune 500 client portfolio in retail and CPG | 4.3 | Full comparison |
| Scopic | Healthcare, fintech, and enterprise teams building genuinely custom... | 20-year track record of custom ML engineering across 1,000+ projects — no API-wrapper shortcuts | 4.2 | Full comparison |
| Miquido | Product companies and scale-ups needing ML features embedded... | AI-plus-product development — ML capabilities integrated with UX engineering, not delivered as a standalone model | 4.2 | Full comparison |
| NineTwoThree AI Studio | Mid-market companies and scale-ups building AI and ML... | Inc. 5000 AI studio with Clutch Top 50 ranking — boutique delivery model with direct principal access | 4.1 | Full comparison |
| RTS Labs | US mid-market companies in financial services and healthcare... | Pilot-to-production ML with deep data engineering roots — Snowflake, Azure, and AWS native | 4.1 | Full comparison |
| SciForce | Companies building production NLP or computer vision systems... | End-to-end ML delivery — from requirements to post-launch support — with NLP and computer vision depth | 4.0 | Full comparison |
| LeewayHertz | Enterprise clients seeking AI product engineering backed by... | Backed by The Hackett Group since Sept 2024 — AI engineering within an enterprise transformation consulting firm | 4.0 | Full comparison |
| DATAFOREST | US and EU companies seeking competitively priced custom... | 4.9-star Clutch rating across 27 verified reviews — one of the highest-rated AI firms in Eastern Europe | 4.0 | Full comparison |
| Kanerika | Mid-to-large US enterprises seeking AI strategy combined with... | Enterprise data-to-value specialist — ML consulting plus data integration and process automation in one engagement | 4.0 | Full comparison |
| DataArt | Enterprises wanting ML services from a large, established... | 1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ML and software in fintech and travel | 3.9 | Full comparison |
| ELEKS | Enterprise clients needing ML within a full-service technology... | 30+ years of enterprise software delivery — ML within a stable, large-org structure for risk-averse buyers | 3.9 | Full comparison |
| Yalantis | Healthcare and fintech companies needing compliance-aware ML consulting... | Compliance-first ML delivery — particularly strong for healthcare and regulated fintech with IoT integration needs | 3.9 | Full comparison |
| Avenga | European enterprise clients seeking large-scale ML and digital... | Formed from a 2019 merger — 3,800+ engineers across Europe for large ML and digital transformation programmes | 3.9 | Full comparison |
| Intellectsoft | Fortune 500 enterprises needing AI modernisation of legacy... | AI modernisation specialist for Fortune 500 mission-critical systems — legacy transformation, not greenfield | 3.8 | Full comparison |
| Azumo | US companies seeking cost-effective nearshore ML development with... | Latin American nearshore delivery — US time-zone alignment with rates below fully on-shore alternatives | 3.8 | Full comparison |
| Iflexion | Mid-to-large enterprises needing AI and ML integrated within... | 25 years of software delivery with ML integrated — 800+ clients provide a verified delivery track record | 3.8 | Full comparison |
| Altamira | Companies needing production-ready AI agents and ML systems... | AI-native product-build firm — delivers fully integrated, trained AI agents ready for production from day one | 3.8 | Full comparison |
| Maruti Techlabs | Mid-market companies seeking cost-effective AI/ML consulting with US... | Dual US-India delivery with AWS Marketplace listing — cost-effective ML for mid-market budgets | 3.8 | Full comparison |
| Keyrus | International enterprises seeking a global data and AI... | From experimental AI to industrial AI — consulting group specialising in productionising ML for large organisations | 3.8 | Full comparison |
| Itransition | Enterprises in 30+ countries needing ML consulting integrated... | 25+ years of full-cycle delivery to 30+ countries — ML within a large proven software engineering organisation | 3.8 | Full comparison |
| Turing | Companies needing rapid access to vetted ML engineers... | AI-vetted 4M+ developer network — fastest route to pre-screened ML talent for staff augmentation | 3.8 | Full comparison |
| Acropolium | SaaS companies and mid-market startups needing ML features... | 22 years of bespoke product engineering — ML as a product feature, not a standalone model delivery | 3.8 | Full comparison |
| Kanda Software | Healthcare, pharma, and life sciences companies needing compliance-aware... | Regulatory-domain ML specialist — AI for pharma and healthcare with compliance and IP ownership built in | 3.7 | Full comparison |
| Binariks | Companies seeking cost-effective AI and ML engineering with... | Multi-cloud and IoT-integrated ML delivery — AWS, GCP, and Azure with IoT sensor data pipelines | 3.7 | Full comparison |
| Centric Consulting | US mid-to-large enterprises needing ML consulting integrated within... | Business-outcome ML consulting — AI within management transformation, not pure technology delivery | 3.7 | Full comparison |
| Space-O Technologies | Startups and SMBs seeking accessible, cost-effective ML development... | Budget-accessible ML for startups — low minimum engagement with India-based rate advantage | 3.7 | Full comparison |
Modak FAQ
What is 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.)
How much does Modak charge?
Modak uses t&m, retainer pricing. Minimum engagement starts at $50K+. A discovery call is required to get project-specific quotes.
What tech stack does Modak use?
Modak works with Python, Apache Spark, Databricks, AWS, Azure, dbt, Airflow. Primary industries served include financial, healthcare, manufacturing, logistics, saas.
Is Modak right for enterprise?
Large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption. 100–200 team size. Key consideration: Data engineering focus — not suited to custom ML model development or computer vision.
What are the best Modak alternatives?
The best alternatives to Modak depend on your use case. Top options are:
- Tensorway: full-lifecycle ml ownership — model design, training infrastructure, and drift monitoring in one team
- InData Labs: deep ml and genai specialist with 10+ years of production deployments across regulated industries
- Artefact: enterprise ml at 1,500-consultant scale across 26 countries — strategy, deployment, and ai factory in one firm
Compare Modak with other Machine Learning agencies
Last reviewed: July 2026. Verify all details directly with Modak before making a decision.