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AI & ML

Gemini

Google's multimodal model family, useful for products that combine text, image, and video understanding.

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Gemini's native multimodal capabilities let us build features that reason across text, images, and video in a single call, which is useful for products working with visual content — receipt scanning, image moderation, or video summarization.

We integrate Gemini via Google's Vertex AI or direct API when a client's stack already runs on Google Cloud, or when a feature specifically benefits from its multimodal strengths.

Where we use it

How we use Gemini

Multimodal features

Products that need to understand images or video alongside text in a single request.

Google Cloud-native AI

AI features for clients already standardized on Google Cloud infrastructure.

Visual content moderation

Automated review of user-generated images and video against content policies.

More ai & ml technologies

TensorFlow

Google's open-source framework for building and deploying machine learning models at scale.

PyTorch

Meta's flexible deep learning framework, favored for research and rapid model experimentation.

OpenAI

GPT models and APIs we integrate for chat, generation, embeddings, and agentic features.

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