Ample Insight Named Top Data Science and AI Company

Oct 17, 2024
0 min read

Your data has an important story to tell. Let Ample Insight help you unlock the value in your data. Ample Insight is a Toronto based data science consulting firm. We help companies build and scale their data, analytics and AI operations. Our clients range from Fortune 500 companies like Unilever to leading startups across the globe in a diverse set of industries.

For Ample Insight's continued dedication to customers’ success, Clutch has again named Ample Insight as a top 10 Canadian service provider in the areas of Big Data Analytics and AI for 2023. Clutch is a B2B ratings and reviews platform based in Washington, DC. They are the leader in connecting global service providers with corporate buyers from around the world.

Ample Insight’s team of world-class data scientists and engineers have helped leading technology companies like Facebook, Shopify, Amazon, Uber, and others solve some of their most challenging problems relating to data science and engineering.

Ample Insight offers a range of end to end data science services including building and scaling:

  • AI products and solutions
  • Data engineering and architecture
  • Analytics (focusing on customer insights and growth analytics)
  • Data acquisition and enrichment

Garry Ma, the CEO and founder of Ample Insight, was one of the first data scientists at Facebook and had helped build many of Facebook’s core data science operations and teams including for areas of Growth, Data Growth, Privacy and others.

“We are thrilled to be chosen by our customers and by Clutch as one of Canada’s leaders in AI and Data Science! We are grateful for our many champions and loyal customers, and for their continued trust and recognition,” shared by Ma in an interview with Clutch.

Here’s what Unilever had to say about working with Ample Insight:

“Ample exceeded expectations with a focused and proactive approach. Our results were fantastic. What stood out the most is how they automated a majority of our work for a major project which eliminated key bottlenecks for our data science teams, enabling us to make strategic decisions, faster.”

— Saranya Chandrasekar, People Data Lab Lead, Unilever (United Kingdom)

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