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Company Summary

Company Reviews

You’ve got the data — now what’s next?

Many businesses are overwhelmed by data and struggle to turn it into real business impact. Lingaro empowers global enterprises to achieve measurable outcomes with data and AI.

We deliver end-to-end solutions from strategy and advisory to scalable data and AI platforms, with proven adoption across teams and processes. Our specialists turn complex data into actionable insights, advanced analytics, and AI-driven automation. You gain faster decisions, higher efficiency, and sustained business value.

Rooted in Europe and operating worldwide, Lingaro brings agility, strong engineering expertise, and deep industry knowledge. We support 75+ leading brands across 30+ countries, including highly regulated industries. As a long-term transformation partner, we help organizations become data-ready, AI-ready, and future-ready.

Learn more at lingarogroup.com

Want to know more? Check our recognitions & awards below.

? Recognized as a Leader in ISG Provider Lens® 2025 – Advanced Analytics and AI Services across Europe and the US

? Positioned as a Leader in ISG Provider Lens™ 2025 – Generative AI Services in Strategy & Consulting and Development & Deployment

? Identified as a Leader in ISG Provider Lens™ 2025 – Specialty Analytics Services in Supply Chain and Retail & CPG

? Strong Performer in the Gartner® Peer Insights™ 2022 and 2024 "Voice of the Customer" reports

? Major Contender in the Everest Group® 2024 Analytics and AI Services Specialists PEAK Matrix® Assessment

? Listee in the Gartner® 2024 Guide to Service Providers for GenAI Initiatives

? Great Place to Work® in Poland, the Philippines, and India in 2025

Rating Reviews

Rating is calculated based on 1 review and is evolving.

Featured Reviews

Data Engineer
3.1
20 February 2026
Okay flexibility for tech roles, but watch out.
Pros: As a Data Engineer, the initial remote work setup was great. I've been working remote from Poland for most of my tenure. It's good to have some autonomy over my daily schedule for data analytics projects.
Cons: Lately, there's a push for more hybrid work, even for software development jobs that were fully remote. It's tough when they change the rules on flexible hours suddenly. Sometimes, client demands make truly flexible schedules hard to maintain.
Advice to Management: Revisit the remote work policies and ensure consistency. It would really help with retaining talent in the data analytics industry if flexibility was a core value, not just a temporary perk. Be clear about expectations for hybrid vs. fully remote employees.
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