Monstarlab

New York, United States

Transforming ideas into digital experiences with strategy and technology

Monstarlab is a global digital strategy and transformation partner, operating across 12 countries and regions. They focus on empowering business transformation and new value creation through AI and digital technologies. Monstarlab provides a system for procuring the best teams and members from around the world, ensuring optimal development by combining specialists in various fields.

Their core services include product development, payment solutions, and process automation. Monstarlab emphasizes a mobile-first approach, using top-notch technology and agile methods to create flexible, responsive solutions. They prioritize quality and sustainability, testing everything thoroughly and adhering to ethical practices.

Monstarlab collaborates closely with clients to ensure that their solutions align perfectly with the client's vision. They have a strong focus on experience and design, creating intuitive and striking designs that enhance user experience and align with the client's brand through creativity and data-driven insights.

20
YEARS IN BUSINESS
8
SERVICES

Capabilities

Services

What these services involve

AI Strategy and Governance
AI Strategy and Governance for ai and machine learning buyers. Clear scope, measurable outcomes, and reliable delivery.
Computer Vision
Computer Vision for ai and machine learning buyers. Clear scope, measurable outcomes, and reliable delivery.
Generative AI Applications
Generative AI Applications for ai and machine learning buyers. Clear scope, measurable outcomes, and reliable delivery.
ML Model Development
ML Model Development for ai and machine learning buyers. Clear scope, measurable outcomes, and reliable delivery.

Agency details

Team size
500+ people
Founded
2006 (20 years)

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Local context

Monstarlab operates in New York, United States serving clients locally and beyond. Agency List organizes firms by geography to help buyers understand the distribution of agencies across regions and markets.

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Data notes

Profile information is derived from agency submissions and public sources. Some attributes may be estimated and are updated over time as additional data becomes available.