Icalia Labs

Austin, Texas, United States

Custom development and AI solutions for diverse industries

Icalia Labs specializes in nearshore software development, offering custom development and AI solutions tailored to the needs of both Fortune 500 companies and emerging startups. Founded in 2010, the company is driven by a passion for innovation and a commitment to creating intelligent, tailored solutions that integrate advanced technologies.

Their core services include custom development, AI development, and design services, with a focus on intelligent automation, machine learning, and predictive analytics. Icalia Labs also provides staff augmentation and UX/UI workshops to help businesses move from ideas to development-ready prototypes. Their approach is customer-centric, ensuring that each solution is designed to meet specific business needs.

With over 250 technology projects launched and a high Net Promoter Score, Icalia Labs has established itself as a trusted partner across various industries, including healthcare, fintech, and real estate. Their expertise in AI and advanced technologies enables them to deliver platforms that drive progress and deliver exceptional value.

16
YEARS IN BUSINESS
1
SERVICES

Capabilities

Services

What these services involve

Staff Augmentation
Staff Augmentation for staffing and outsourcing buyers. Clear scope, measurable outcomes, and reliable delivery.

Agency details

Team size
201-500 people
Founded
2010 (16 years)

About this agency on Agency List

Icalia Labs holds an Agency List Score of 96 out of 100.

That score is higher than 89% of the 36,919 agencies Agency List has assessed so far.

The Agency List Score measures how well an agency documents its work in public: named clients, quantified outcomes, and whether those outcomes are attributed to the agency rather than to the client.

It does not measure client satisfaction, price, or availability.

How the Agency List Score is measured

Assessment date

Agency List assessed Icalia Labs in September 2026, reading 3 pages published on icalialabs.com.

The score reflects what Icalia Labs had published by that date; anything published since has not been read.

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