Google Gemini

Google developed Gemini, a multimodal AI model family built to handle complex reasoning tasks across text, images, audio, and code within a single unified system.

What is it?

Google Gemini is a next-generation large multimodal model (LMM) platform that integrates language understanding, visual reasoning, and code intelligence. It is designed to power advanced AI features across Google’s ecosystem and third-party applications.

What does it do?

Gemini enables developers to build AI-driven assistants, content generation tools, data analysis systems, multimodal search experiences, and intelligent automation workflows. It supports reasoning, summarization, coding assistance, and cross-modal understanding.

Where is it used?

Gemini is used in enterprise AI platforms, developer tools, productivity software, search and knowledge systems, customer support automation, and large-scale data-driven applications.

When & why it emerged

Google introduced Gemini in 2023 to unify its AI research across language, vision, and multimodal intelligence. It emerged to address the growing need for models capable of complex reasoning and real-world multimodal interaction.

Why we use it at Internative

At Internative, we use Google Gemini for multimodal AI solutions, advanced reasoning use cases, and scalable enterprise applications. Google Gemini 2.5 paired reasoning with native multimodality, a useful reference point for those use cases. Its tight integration with Google Cloud and strong multimodal capabilities make it ideal for complex AI workflows.