20 reviews
We found that the outputs we were getting were consistent - to get to production it was also relatively cost effective. On top of that, the latency was low enough to keep things fast for users, and the massive context window meant we didn't have to build complex data pipelines just to handle the risk large inputs.
Gemini sits at the center of Google's ecosystem, which means it works across Docs, Drive, Calendar, and more right out of the box. We chose it because it's already where so many people work, connecting it to IFTTT just makes it more powerful.
We use AI agents to turn messy enterprise documents into decisions teams can defend. Gemini is great at content extraction from complex documents – think tables, equations, graphs, and so on.
Shoutout to Gemini for helping power the AI intelligence behind our voice-agent experience.
Powers multimodal understanding and screenshot interpretation across complex UI flows.
Mandatory for AI models - we have to keep using the latest models.
Antigravity IDE with Gemini came into play when testing the full loop: reporting bugs with FlowLens, fixing them with the Antigravity agent, and letting it verify its work using the built-in browser.
Big shoutout to Gemini for powering a lot of the AI side of Qudemo. Your models helped us in video understanding, turning long, static videos into something viewers can actually interact with.
Secondary/Backup LLM provider for our product.
Gemini is arguably one of the top foundation models and with the most upside. They're executive incredibly well. Especially strong with coding and multi-modal inputs. A great model to keep in our multi-agent toolbox.
Gemini shows what’s possible when AI is smart and fluid. That’s the vibe we’re going for with FetchAI too—rewriting that adapts to you, not the other way around.
The API is the best, very easy to work with, godsend by google for indie devs who wanna try out LLM APIs but dont have lot of money.
