AI Tool Directory

Goodspace AI is the company behind AutoRecruiter, an AI-powered interviewing system that automates the first interview stage of recruitment. It conducts video interviews, generates detailed candidate reports, and aims to reduce hiring time and costs while providing unbiased candidate assessments.

Goodspeed Studio guides you through a structured process designed to bring your product ideas to life. It breaks product development into four key stages:

GoodVision is an AI-powered tool built for traffic modellers and surveyors working in smart cities. It covers AI-driven traffic data collection, traffic modelling, and real-time traffic control. Users can gather traffic data for surveys, automatically calibrate traffic models, and receive detailed traffic event information for control systems in real time. The platform uses AI and big data analytics to deliver adaptive traffic control and urban planning solutions aimed at reducing urban congestion.

GoodWork is a platform built by founders, for founders. It helps B2B startups with branding, marketing materials, website launches, and bringing product ideas to market. The platform combines access to creative professionals, go-to-market experts, and an AI copilot to speed up the work — with the goal of saving startups time and money.

GOODY-2 is an AI model built with a strong emphasis on ethical principles and responsible interaction. It is programmed to identify and refuse queries that might be controversial, offensive, or dangerous in order to maintain its ethical standards. It also declines discussions that could encourage unsustainable economic habits or cause environmental harm.

Gooey.ai is a platform for running Generative AI. It provides access to both private and open AI models through a central hub where you can explore, test, and select models from different providers. The platform offers a straightforward interface, simple billing, workflow discovery, customization options, and security measures to protect sensitive data.

Google CodeGemma is a suite of lightweight models built specifically for coding tasks. It handles code completion, code block generation, natural language understanding, math problems, and instruction following.

Google DeepMind, exemplified by models like Gato, is a flexible AI system designed to handle a wide variety of tasks across different domains. It is a single, adaptable policy model that can play games, write text, control physical systems like robot arms, and interact in many other ways. What makes a generalist agent like Gato notable is its ability to manage multiple objectives across different types of information, all guided by context. By using the same network and weights for all these tasks and environments, Gato points toward a single system that can tackle many challenges effectively.

The Google Drum Machine is a browser-based experiment hosted on Google's Experiments with AI platform. It provides a virtual drum machine with drum pads, each producing a unique sound, along with controls for tempo, volume, and effects. Note: the source page was unavailable at the time of writing, so detailed feature information is limited.

Google Imagen is a text-to-image model developed by the Brain Team at Google Research. It is a diffusion model that generates images with a high degree of photorealism and a strong understanding of language. Imagen combines large transformer language models, such as T5, with diffusion models to turn text descriptions into high-quality images that closely match the prompt.

Google Imagen 3 is a web-based tool from Google that lets you search for and find images in an interactive way. It offers a smarter, more visual way to explore the web's image collection, using advanced technology to search not just with keywords, but also by finding similar images or sketching what you're looking for. You can filter results by color, size, or image type, and save and organize images you like for later. Overall, it makes finding images online more intuitive and user-friendly.

Google Imagen Video is a text-to-video system developed by the Google Research Brain Team. It turns written prompts into high-definition video clips using a cascade of video diffusion models. Dedicated temporal and spatial super-resolution models improve smoothness across frames and detail within each frame, producing sharper, more lifelike output.

Google Labs is a preview area for early-stage, AI-powered features still in development across Google's products. Users can try experimental technology — from new search experiences within Google Search to collaboration tools for Google Workspace — and share feedback that shapes how these technologies develop. Early AI experiences are available to a select group of users.

MobileDiffusion is a text-to-image model designed specifically for fast on-device generation on mobile phones. It is a compact latent diffusion model with only 520 million parameters, made up of three main components: a text encoder, a diffusion UNet, and an image decoder.

Google Search Labs is a platform for new Google Search ideas. It lets users try features that are still in early stages of development, with the goal of collecting feedback from real people to spot bugs and improve the search experience.

SIMA (Scalable Instructable Multiworld Agent) is an AI agent developed by Google DeepMind. It is designed to understand a variety of virtual environments and complete tasks by following plain English instructions.

SynthID is a toolkit for watermarking and identifying AI-generated content. It embeds digital watermarks directly into AI-generated images, audio, text, or video, and can detect whether content — or part of it — was produced using Google's AI tools. The watermarks are imperceptible to humans but detectable by scanning tools, addressing the challenge of marking AI-generated content without affecting its quality or accuracy. SynthID uses deep learning models to scan content for these watermarks, supporting authenticity verification and AI safety efforts. The technology is in beta.

Google Teachable Machine is a tool that lets you train a computer to recognize your own images, sounds, and poses — no coding required. The platform makes it simple to create custom machine learning models you can use in websites, apps, or other digital content. Examples include adding image recognition to an e-commerce site, building voice-controlled apps, or creating gesture-based interactions. You upload your data, and the platform's machine learning handles the rest, removing the need for coding or data science knowledge.