Latitude

Latitude

Industry

Leisure / Gaming

Use case

AI-enhanced collaborative storytelling

Impact

Seamless real-time analytics Improved performance Cost reduction Large dataset management

Migrated from

Amazon Aurora

Overview

Latitude is a pioneer in AI gaming, offering immersive, AI-driven storytelling experiences through products like AI Dungeon.

Latitude

Company and use case

Latitude, founded in 2019, is a leader in the AI gaming industry, best known for their flagship product, AI Dungeon. The company revolutionizes the gaming experience by using AI to facilitate collaborative storytelling, allowing players to engage in rich, narrative-driven adventures without the constraints of traditional game mechanics. This innovative use case leverages advanced language models to create a dynamic, interactive experience, setting Latitude apart in the gaming world.

Performance problems to solve

As Latitude scaled its user base, they encountered significant challenges with data management and infrastructure scalability. The company's need for real-time, comprehensive analytics to support their AI-driven narratives required a robust database solution capable of handling large volumes of time-series data. Maintaining continuous availability and managing operational complexities were critical issues, particularly given the high cost and performance demands associated with AI workloads.

Performance gains unlocked

By integrating Timescale, Latitude has achieved substantial improvements in data management efficiency. The platform's high compression capabilities and continuous aggregates have enabled the company to reduce storage costs by approximately $12,000 monthly, while still providing rapid query performance. This has allowed Latitude to maintain detailed, real-time analytics without sacrificing speed, supporting their mission to deliver immersive AI-driven gaming experiences.

video-coverPlay video button

Timescale by itself is what allows for the hypertables, the query performance, and the compression. That's where it's something like $12,000 a month of database cost saved because of the compression.

Alan Walton, Co founder & CTO

Ready to get started?

Get started with Timescale