Google

Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Google

A tech titan hailing from America, Google LLC excels in an array of internet-centric services and products. Encompassing search engines, online advertising, cloud solutions, software, and hardware, this renowned company emerged in 1998 under the visionary leadership of Larry Page and Sergey Brin. Today, Google stands tall among the world's most valuable entities and proudly shares the limelight in the Big Five American IT circle with Amazon, Apple, Meta (previously Facebook), and Microsoft.

General
Company	Google LLC
Founded	September 4, 1998
Headquarters	Mountain View, California, U.S.
Parent Company	Alphabet Inc.
Area served	Worldwide

Discover the capabilities of Google's Generative AI Studio, a managed environment that simplifies the integration and deployment of generative AI studio and foundation models for production.

Explore Google's Model Garden on Vertex AI, a comprehensive hub for exploring, interacting, and implementing a diverse array of AI models to accelerate your ML journey.

Experience the next-generation AI technology that is setting new standards in the field of artificial intelligence with PaLM 2, Google's groundbreaking large language model.

Meet Chirp, the revolutionary speech-to-text technology powered by Google AI, bringing unparalleled accuracy and language support to speech recognition services.

Transform texts into stunning visuals with Imagen, Google's AI marvel that sets a new benchmark in the realm of text-to-image diffusion models.

And revolutionize software development with Codey, the AI-powered coding assistant developed by Google AI, designed to transform software development with its advanced code generation capabilities across various programming languages.

Discover Google Antigravity, an 'agent-first' IDE for Gemini 3, which uses autonomous agents to plan and execute engineering tasks.

Explore Google DeepMind, the AI research organization behind the Gemini series and Gemma open-model family.

Utilize Google AI Studio, a web-based prototyping environment for the Gemini API, for building generative AI applications.

Experience Gemini 3 Flash, a speed-optimized multimodal model for advanced reasoning and agentic tasks.

Discover Gemini 3 Pro, Google's flagship frontier model with state-of-the-art multimodal understanding and reasoning.

Discover each of these remarkable technologies and learn how they can elevate your projects and capabilities.

Key Products and Services

Google offers a wide range of products and services that cater to various user needs. Some of their key products and services include:

Google Search

A popular search engine that allows users to find information, websites, images, videos, and news on the World Wide Web.

Google Cloud Platform

A suite of cloud computing services, including computing, storage, networking, big data, machine learning, and Internet of Things (IoT), offering businesses an infrastructure for building, deploying, and scaling applications.

Products, Solutions, and Services

AI for Data Scientists

Vertex AI

Our new unified machine learning platform will help you build, deploy and scale more effective AI models.

Accelerating data preparation
Scaling data
Training and experimentation
Model deployment

Vertex AI Workbench

The single development environment for the entire data science workflow.

Rapid prototyping and model development
Developing and deploying AI solutions on Vertex AI with minimal transition

AI for Developers

AutoML

Train high-quality custom machine learning models with minimal effort and machine learning expertise.

Building custom machine learning models in minutes
Training models specific to your business needs

Cloud Natural Language

Derive insights from unstructured text using Google machine learning.

Applying natural language understanding to apps with the Natural Language API
Training your open ML models to classify, extract, and detect sentiment

Dialogflow

Create conversational experiences across devices and platforms.

Creating natural interaction for complex multi-turn conversations
Building and deploying advanced agents quickly
Building enterprise-grade scalability

Media Translation (Beta)

Add real-time audio translation to your content and applications.

Delivering real-time speech translation directly from your audio data
Scaling quickly with straightforward internationalization

Speech-to-Text

Accurately convert speech into text using an API powered by Google's AI technologies.

Creating automatic speech recognition
Transcribing in real time
Empowering Google Contact Center AI

Text-to-Speech

Convert text into natural-sounding speech using an API powered by Google's AI technologies.

Improving customer interactions
Engaging users with voice user interface in devices and applications
Personalizing communication

Timeseries Insights API (Preview)

Large-scale time series forecasting and anomaly detection in real time.

Gathering insights in real time from time series datasets
Detecting anomalies while they are happening
Handling large scale datasets and running thousands of queries per second

Translation AI

Make your content and apps multilingual with fast, dynamic machine translation.

Delivering seamless user experience with real-time translation
Engaging your audience with compelling localization of your content
Reaching global markets through internationalization of your products

Video AI

Enable powerful content discovery and engaging video experiences.

Extracting rich metadata at the video, shot, or frame level
Creating your own custom entity labels with AutoML Video Intelligence

Vision AI

Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision AI models to detect objects and emotions, understand text.

Using ML to understand images with industry-leading prediction accuracy
Training ML models to classify images by custom labels using AutoML Vision

AI Infrastructure

Deep Learning Containers

Preconfigured and optimized containers for deep learning environments.

Prototyping your AI applications in a portable and consistent environment

Deep Learning VM Image

Preconfigured VMs for deep learning applications.

Accelerating your model training and deployment

GPUs

High-performance GPUs on Google Cloud for machine learning, scientific computing, and 3D visualization.

Speeding up compute jobs like machine learning and HPC
Accelerating specific workloads on your VMs

TensorFlow Enterprise

Reliability and performance for AI applications with enterprise-grade support and managed services.

Boosting enterprise development with long-term support on specific distributions
Scaling resources across CPUs, GPUs, and Cloud TPUs
Developing and deploying TensorFlow across managed services

TPUs

Train and run machine learning models faster than ever before.

Running cutting-edge machine learning models with AI services on Google Cloud
Iterating quickly and frequently on machine learning solutions
Building your own ML-powered solutions for real-world use cases

Document AI

Document AI solutions suite includes pre-trained models for data extraction, Document AI Workbench to create new custom models or uptrain existing ones, and Document AI Warehouse to search and store documents.

Manage the entire unstructured document lifecycle in one unified solution
Accelerate deployment, reduce manual document processing, and setup costs
Gain new insights about your products and meet customer expectations

Google Ads

An online advertising platform that enables businesses to create and display ads on Google's search results pages, partner websites, and mobile applications.

Google Drive

A cloud storage service that allows users to store and share files, collaborate on documents, and access their data from any device.

Google Workspace

A suite of productivity and collaboration tools, including Gmail, Google Calendar, Google Drive, Docs, Sheets, Slides, and others, designed for businesses, educational institutions, and other organizations.

Google Maps

A mapping service that provides detailed maps, satellite imagery, street views, and real-time traffic information, allowing users to explore locations and find directions.

Google Assistant

An artificial intelligence-powered virtual assistant that helps users perform tasks, control smart devices, and access information using voice commands or text.

YouTube

A video-sharing platform that allows users to upload, view, rate, share, and comment on videos, as well as subscribe to channels and access various media content.

Android

A mobile operating system developed by Google, designed primarily for touchscreen devices such as smartphones and tablets.

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Google AI Technologies Hackathon projects

Discover innovative solutions crafted with Google AI Technologies, developed by our community members during our engaging hackathons.

Echo MultiAgent

ECHO is an autonomous multi-agent meeting workflow agent built for enterprise teams. The problem it solves: knowledge workers waste 5+ hours per week on post-meeting admin — updating CRMs, creating tasks, drafting follow-up emails, posting team summaries. ECHO compresses that to zero. HOW IT WORKS A Recall.ai bot auto-joins any Zoom, Google Meet, or Microsoft Teams call via URL — no app install, no calendar permission required. After the meeting ends, five specialist AI agents fire in sequence: 1. Action Extractor (Featherless / Llama 3.1) Extracts every commitment, deadline, and task from the diarized transcript using a domain-specialized open-source model running on Featherless serverless inference. 2. Stakeholder Classifier (Featherless / Llama 3.1) Identifies who said what, their role, company, and who owns each action item. Depends entirely on Speechmatics speaker diarization to know which speaker is which. 3. Decision Maker (Gemini 2.5 Flash) Synthesizes a full cross-system workflow: what to update in HubSpot, what to create in Linear, what to post in Slack, and what to draft in Gmail — based on all prior agent output. 4. Comms Drafter (Gemini 2.5 Flash) Writes the actual follow-up emails and Slack summaries in natural language, ready for human review or auto-send. 5. Executor Fires real API calls to HubSpot, Linear, Slack, and Gmail. Nothing is mocked. Every integration is live and auditable.

TradeBenchmark for ai models

DropScout is a benchmark for evaluating whether AI models can time purchases of real digital goods better than simple human-market baselines. We use CS2 Steam Market cases because they are liquid, low-cost, and have observable historical prices, so model trading claims can be tested against real market behavior instead of a fake demo. The system fetches historical candle data from CS2Cap, keeps Steam Market data as a live sanity check, normalizes the evidence, and generates reports that compare each model run against window-start buying, average human-market pricing, best possible hindsight pricing, worst pricing, liquidity, volume, and timing opportunity. A Gemini paper-trading harness makes bounded buy, sell, hold, or skip decisions using only prior candles, and the simulator scores those decisions on the next available market data. The goal is not another confident trading chatbot. DropScout is the scoreboard underneath AI trading agents: same data window, transparent constraints, reproducible reports, and a clear separation between real benchmark evidence, paper-trading model output, and hindsight-only ceilings.DropScout is a benchmark for evaluating whether AI models can time purchases of real digital goods better than simple human-market baselines. We use CS2 Steam Market cases because they are liquid, low-cost, and have observable historical prices, so model trading claims can be tested against real market behavior instead of a fake demo. The system fetches historical candle data from CS2Cap, keeps Steam Market data as a live sanity check, normalizes the evidence, and generates reports that compare each model run against window-start buying, average human-market pricing, best possible hindsight pricing, worst pricing, liquidity, volume, and timing opportunity. A Gemini paper-trading harness makes bounded buy, sell, hold, or skip decisions using only prior candles, and the simulator scores those decisions on the next available market data.

RelAI

RelAI is a messaging-first multi-agent networking platform built for AI Agent Olympics at Milan AI Week 2026. Instead of asking attendees to search directories or awkwardly approach strangers, RelAI assigns each person an AI representative that works on their behalf throughout the event. The experience starts in Telegram, where users answer a short onboarding flow about their role, interests, who they want to meet, and when they are available. Google Gemini transforms these answers into a structured networking profile and launches a coordinated agent workflow: scanning the attendee roster, ranking the strongest mutual fits, simulating short agent-to-agent conversations to test alignment and interest, finding overlapping availability, and proposing up to three high-quality meetings with clear reasons and suggested talking points. This is not a generic chatbot. RelAI implements a collaborative multi-agent system with distinct steps—profile extraction, matchmaking, representative dialogue, scheduling, and summarization—connected through a shared database and orchestrator. Users retain full control: every proposed match requires explicit approve or reject in Telegram before anything is confirmed. For organizers, judges, and power users, Mission Control is a web dashboard that visualizes the workflow in real time: a live graph of scanning, contacting, and negotiating states, an activity feed, and match cards with scores and transcripts. The stack is Next.js, Supabase Postgres, Gemini Flash and Pro, and deployment on Vultr, aligned with hackathon partners and tracks including Collaborative Systems, Agentic Workflows, Enterprise Utility, and Intelligent Reasoning. Enterprise use cases extend beyond conferences to sales roundtables, investor-founder matching, and internal offsites where quality introductions matter more than volume. RelAI demonstrates how autonomous agents can collaborate at scale while keeping humans firmly in the loop.

MidContext Live Translation Agent

MidContext Live Translation Agent solves a major challenge for companies operating across multilingual markets: customer support becomes slower, more expensive and less personal as customers and agents do not speak the same jargon. Beyond language, each generation have its unique way of talking and AI enables hyper customisation capabilities. We identified low scalable workflows, high wait times, low resolution quality and inconsistent customer experience as key pain points for companies, especially for companies scaling across Europe with different languages, accents and local expectations, and low maturity with their internal knowledge bases. Scalable globally, and also interesting to mayor incumbents that can not afford losses in their reputation. Our solution is a real-time voice translation layer between customer care agents and customers. The system captures voice input, converts speech through ASR, routes the conversation through a customer support layer, and generates natural voice responses using TTS. It does more than translate words: it preserves context, intent, tone and company jargon, while connecting to local knowledge bases and support workflows. It works today, right away in the company as it is, and help build its future enriching their local customer service knowledge base. The target users are multinational companies, customer operations teams, CCaaS providers and enterprises that need scalable multilingual support without losing the human connection. MidContext uses a glocal strategy: one global architecture, adapted to local languages, customer behaviors, policies and knowledge bases. A human-in-the-loop quality model keeps agents responsible for sensitive cases, approvals and escalations, reducing technological complexity while improving trust, resolution quality and customer satisfaction.

CartMate AI Shopping Assistant

CartMate is an AI-powered conversational commerce assistant designed to make online shopping easier, faster, and more accessible. Many users struggle with traditional text-based search because they may not know the right keywords, product category, brand name, or technical terms. CartMate solves this problem by allowing users to simply speak what they want in natural language. The system understands the user’s intent, asks smart follow-up questions, and recommends suitable products from the catalogue. CartMate also includes visual product matching. Users can show a physical item or upload an image, and the AI analyzes its category, color, material, style, and visible branding. Based on this analysis, CartMate finds visually similar products and displays ranked recommendations. This is especially useful for elderly users, low-literacy users, non-technical shoppers, and customers who can recognize a product visually but cannot describe it accurately. The project uses real-time speech-to-text, conversational AI reasoning, text-to-speech output, and AI vision to create a smooth shopping experience. For businesses, CartMate improves product discovery, reduces search frustration, increases customer engagement, and can help improve conversion rates. It can be integrated as an intelligent shopping layer for e-commerce platforms, marketplaces, and online stores.