DataRiseLab Sp. z o.o.

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Updated in September, 2025

DataRiseLab Sp. z o.o. is a leading data analytics and technology solutions provider, specializing in transforming raw data into actionable insights. With a strong focus on industries such as finance, healthcare, and logistics, the company leverages advanced analytics, machine learning, and artificial intelligence to drive innovation and efficiency for its clients. DataRiseLab boasts a global presence, serving a diverse clientele across multiple continents, which enables them to understand and adapt to varying market needs. Key differentiators include their commitment to customized solutions, a team of industry experts, and a robust suite of services that includes data visualization, predictive analytics, and data management. By prioritizing client collaboration and delivering measurable results, DataRiseLab empowers organizations to navigate the complexities of the data landscape effectively.

Overview

Company size

11-50 employees

Founded

2022

Hourly rate

$51 - $100 / hr

Minimal project

$25,000+

Headquarters

Wrocław, PL

Ready to start

1-2 weeks

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DataRiseLab Sp. z o.o.

Wrocław, Poland

DataRiseLab Sp. z o.o. provided

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          Top mentions

          Not for everyone, and here's why

          Expert Technical Skills

          Clients praise DataRiseLab for their deep technical knowledge and expertise, allowing them to tackle complex IT challenges effectively. Many reviews highlight successful project completions that exceeded expectations.

          Limited Resources

          Some clients mentioned that DataRiseLab can sometimes have limitations in terms of resources, which might affect scalability for larger projects. This could be a concern for businesses with extensive IT needs.

          Customer sentiment at a glance

          DataRiseLab Sp. z o.o. is generally well-regarded for its expert technical skills, strong communication, and high-quality deliverables. While they offer tailored solutions and competitive pricing, some clients note limitations in resources and occasional project delays.

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