# Testimonials Testimonials Atlas is trusted by innovative studios building the next generation of games and interactive experiences. > "Atlas's ability to seamlessly integrate with our highly customized workflows has been a game-changer. By deeply understanding the nuances of our pipeline, they've become an invaluable partner, enabling us to deliver high-quality, performance-optimized solutions with impressive agility."\ > Tech Director, Innovation Technology Division, Square Enix > "Atlas has completely changed our production timelines. Assets that used to take one to two weeks are now ready in a day or two, without compromising quality. It fits naturally into how our team already works, which made adoption incredibly smooth."\ > Production Lead, AAA Gaming Studio > “Using Atlas, we were able to automatically remaster 20,000 existing assets with consistency and speed. Doing this manually would have been unrealistic at best. It unlocked value from our library that we simply could not access before.”\ > Art Director, AA Mobile Gaming Studio Proven Results from Beta Testing phase * 10-50x faster asset creation based off internal testing with 5 AAA design partners working on environment assets and props. * 70-90% cost reduction based off AA game production for Alpha Release. * 5-10x artist productivity gain based off user feedback from 20+ design partners using the platform for various game asset productions. ## Related pages * [Getting Started](/atlas-ai-studio-overview/getting-started.md) — orientation to the Atlas platform * [3D & Gaming Focus](/atlas-ai-studio-overview/3d-and-gaming-focus.md) — the production-grade capabilities customers reference in the quotes above * [Atlas AI Agent](/atlas-ai-studio-overview/atlas-ai-studio-overview.md) — the multi-agent system that customers consistently call out as the differentiator * [Atlas x GCP](/atlas-ai-studio-overview/atlas-x-gcp.md) — how studios procure Atlas through the Google Cloud Marketplace --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.atlas.design/atlas-ai-studio-overview/testimonials.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.