Sivi leverages Google Cloud to train its large design models and integrates Gemini to offer a conversational experience and translation. The autoscaling capability of Google Kubernetes Engine helps reduce GPU costs and ensure high availability at all times.
Users can generate designs in a process akin to ideating with a human designer, with Sivi invoking the appropriate function call for the underlying Sivi APIs to generate the best results. Subsequent tweaking and revisions can also be made easily to ensure the template-free designs are specific to the user and the various use cases. Vertex AI allows developers to try new ideas and ideate quickly without additional resources and time.
Sivi reduces the barrier to entry for design tools and improves the user experience by providing the option to converse with the platform in natural language. The implementation of a conversational model on its platform through Gemini helps users form the input for designer generation and language translation up to 50% faster.
Vertex AI allows developers to try new ideas and ideate quickly without additional resources and time.
Gemini for Google Cloud enhances user experience and makes it easier to serve our target audience - SMBs. Conversations are simpler than learning new tools, allowing for outcomes that they want.
Sona J, Co-Founder, Sivi