Company and use case

Tailos, based in Austin, is a robotics innovator specializing in AI-powered solutions for the hospitality industry. Their flagship product, Rosie, is an intelligent robot vacuum designed to automate floor cleaning in hotels and multifamily residences. By leveraging advanced robotics and AI, Tailos enables businesses to streamline operations, reduce labor costs, and enhance the guest experience.

Performance problems to solve

Tailos faced challenges in managing and processing vast amounts of telemetry data from their deployed robots. Initially using Google Cloud services, they struggled with data latency and the complexity of managing multiple databases. The need for a scalable and efficient system became apparent as the volume of data increased, highlighting the necessity for a robust time-series data solution.

Performance gains unlocked

With the integration of Timescale, Tailos transitioned to a more streamlined data management system. The move to Timescale Cloud reduced the need for in-house database management, enabling the team to focus on product development. Timescale's powerful time-series capabilities allowed Tailos to efficiently handle large volumes of telemetry data, providing real-time insights into robot performance and customer usage. This shift improved data reliability and accessibility, significantly enhancing the company's ability to deliver superior service and support.