Case Study: Sentient.io achieves 90% faster data analytics and 100% quicker product releases with Looker

Sentient.io Democratizing AI for global developers with BigQuery and GKE

Sentient.io, a Singapore-based AI startup, wanted to make machine learning more accessible for companies without prior ML experience. As it looked to scale its platform and improve performance, Sentient.io turned to Looker and Google Cloud tools such as BigQuery and AutoML to handle large-scale data analytics and model development more efficiently.

Looker helped Sentient.io streamline analytics and machine learning workflows, enabling a major migration of its platform to the cloud. The results were significant: 90% time savings in data queries, 100% faster product release cycles, and faster client outcomes, including a six-fold boost in transcription speed for MediaCorp.

Sentient.io

Christopher Yeo

Founder and CEO