Alphabet (Google) vs Box

A named tab in Google Search — "our most powerful AI search, with more advanced reasoning and multimodality" — that answers a query conversationally over web sources rather than with a link list.

Standalone mobile app (iOS/Android) delivering personalized, AI-illustrated daily stories synthesized from a user's connected Google services (Gemini, Gmail, Calendar, Photos, YouTube, Search).

Google's assistant for chat, research, image generation and work across Google apps.

A source-grounded research tool that summarizes, answers questions from and generates audio overviews of documents a user uploads.

AI filmmaking application for creating cinematic clips and scenes, built on Veo (video), Imagen (image) and Gemini (prompting) — the application layer above the Veo model already recorded in models.json.

Agentic music co-producer, formerly ProducerAI and graduated from Google Labs, that chats with you about ideas, generates and edits songs, learns your style, and offers free unlimited downloads.

An AI-assisted video creation and editing application bundled with Google Workspace that generates video from text prompts, slides or screen recordings.

A Google Labs science tool (built with Gemini Notebook) that runs a comprehensive literature search, structures results in a data table and produces reports, slide decks and infographics.

AI-powered concepting board for exploring, expanding and refining visual/creative ideas.

Google Labs experiment; explicitly waitlisted at evaluation time.

An agentic research engine (built with AlphaEvolve and ERA) that generates and scores code variations against the user's optimisation metrics to discover models and algorithms.

A multi-agent research tool (built with Co-Scientist) that simulates the scientific method to identify knowledge gaps and propose testable research plans.

An autonomous coding agent that clones a GitHub repository, plans and writes code changes in a cloud VM and opens a pull request for review.

Studio inside Gemini Enterprise for Customer Experience for building, testing and deploying customer-facing AI agents across voice and chat channels.

A seat-licensed enterprise application for discovering, building and running AI agents across an organization's business tools, formerly branded Agentspace.

Enterprise-grade notebook environment (IAM-managed access, Google Cloud security/network, official support) explicitly distinguished on its own page from the free Colaboratory product.

An AI coding assistant integrated into IDEs, GitHub pull requests and a CLI, sold in free, Standard and Enterprise tiers.

A free web tool for prototyping prompts and testing Gemini models before moving to the Gemini API for production use.

Agentic software-development platform managing autonomous coding agents across an IDE, a graphical command center and a terminal-first CLI surface.

Managed JupyterLab notebook instances on Google Cloud, prepackaged with deep-learning frameworks and integrated with BigQuery, Cloud Storage and scheduling, for developing and training models end to end.

Lets analysts create, train and run machine-learning and generative-AI models inside BigQuery with GoogleSQL — from trained regression and forecasting models to remote calls on Gemini and Cloud AI APIs — without moving the data out.

Google Cloud's platform for training, tuning, serving and evaluating models and agents.

Google Cloud's customer-experience suite — Customer Experience Agent Studio, Agent Assist, Customer Experience Insights and Contact Center as a Service — for building AI agents and assisting human agents across contact-centre channels.

No-code agentic workflow-automation platform that orchestrates intelligent content workflows -- contract approvals, claims processing, document routing -- combining AI agents, data extraction and document processing end to end.

Agentic data extraction service that pulls structured fields from documents, spreadsheets, images and video in Box using OCR and reasoning models, and writes the results back as Box metadata or returns them via API.

Agents built on the Box platform that combine frontier models from OpenAI, Anthropic and Google with an organization's own content, automating multi-step tasks such as threat analysis and contract review while respecting Box's enterprise permissions.

No-code environment where Box administrators create, configure, test and deploy custom AI agents scoped to selected documents and models, and control which users can access each agent.

Model Context Protocol server that lets external AI agents search, read and extract metadata from content in Box while enforcing the calling user's existing Box permissions, available as a Box-hosted remote server and as a self-hosted Python project.

Generative AI layer across Box's content platform that answers questions over stored documents, summarizes files and folders, and extracts structured data from contracts and forms; agentic, multi-step work is Box AI Agents, recorded separately.