Alphabet (Google) vs Applied Materials

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.

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.

Google's custom AI accelerator chips, rented by the chip-hour on Google Cloud for training and serving machine learning models.

Fab software that uses machine learning to predict metrology measurement values in real time with confidence scores, reducing reliance on physical measurement and auto-retraining models when drift is detected.

Software that augments existing run-to-run process control with machine learning models that recommend recipe parameter adjustments for high-mix, low-volume and nonlinear processes.

AI-based fab software that automatically detects and classifies wafer inspection images into more than 100 defect categories, replacing manual and rule-based defect review.

Applied's Actionable Insight Accelerator platform, which combines chamber sensors, inline metrology, digital twins and machine learning algorithms to optimise semiconductor process recipes from millions of wafer and chip measurements.

Data and model management platform that covers the full AI/ML lifecycle for fabs, from data preparation and model building through deployment and drift monitoring, without requiring coding expertise.

Brightfield optical wafer inspection system whose third-generation ExtractAI technology pairs its scan data with SEMVision eBeam review to separate yield-killing defects from millions of nuisance signals.

Integrated die-to-wafer hybrid bonding system for HBM, AI accelerators and co-packaged optics, with an AIx-powered software suite providing predictive maintenance, die-level traceability and multi-binning.

Cold field emission eBeam defect review system that integrates deep learning AI to automatically extract and classify yield-killing defects from wafer inspection data.

Modular wafer-processing platform holding four to twelve mixed ALD, CVD, epitaxy and etch chambers, instrumented with thousands of sensors that feed Applied's AIx software for machine-learning recipe acceleration.