Case Study: Tomo scales personalized AI messaging to hundreds of thousands of messages with Linq

Tomo scales from a single phone line to hundreds of thousands of messages with Linq

Tomo, a personalized AI accountability tool for young people built on iMessage, faced the infrastructure challenge of scaling its service reliably and securely. The company needed a provider that could handle the transition from a single phone line to massive organic growth while maintaining the trust of its users, who share deeply personal information. They chose Linq as their messaging infrastructure vendor to meet this challenge.

By implementing Linq's infrastructure, Tomo gained a secure and reliable platform that scaled seamlessly with their demand. The solution enabled Tomo to grow from hundreds to hundreds of thousands of messages daily through organic growth alone, all while maintaining the high standards for latency and security required to keep user trust. With the infrastructure handled by Linq, the team could focus on product development and achieving strong user engagement and retention.

Tomo