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How it works
Claude is an AI assistant from Anthropic that helps people and teams get work done through conversation, coding, delegated tasks, and collaboration. Available on desktop, web, and mobile, Claude is built on a family of frontier models (Claude Mythos, Opus, Sonnet, and Haiku) that range from the most capable to the most cost-effective, so teams can match intelligence to the task. Key Features and Functionality: - Chat: Collaborate with Claude on writing, analysis, research, and problem solving, with file uploads, projects that keep context across conversations, memory, web search, and artifacts for real-time documents and code. - Code: Build software with Claude Code, a coding agent that plans, writes, edits, tests, and debugs across large codebases, available in the terminal, desktop app, web, and mobile, with native GitHub and IDE integrations. - Cowork: Delegate multi-step tasks to Claude in plain language. Claude works across local files, connected apps, and the desktop, and returns finished documents, spreadsheets, presentations, and organized folders. An open plugin system bundles skills, data connectors, and workflows. - Tag: Bring Claude into Slack and other team tools. Tag Claude into any channel or thread and it drafts, analyzes, and answers in context, using shared documents and channel memory. - Specialized products: Claude Security (vulnerability detection and patch suggestions for security teams), Claude Design (designs, prototypes, and presentations from natural language), and Claude Science (an AI workbench for scientific research). - Connectors and extended context: Connect Claude to the tools and data teams already use, including the Model Context Protocol, and analyze large documents and codebases with long context and extended thinking. - Enterprise-grade security: Claude Enterprise includes Single Sign-On (SSO), role-based permissions, audit logs, and custom data retention controls. Primary Value and User Solutions: Claude gives individuals and organizations one assistant for everyday knowledge work, software development, and delegated tasks. Employees get faster research, writing, analysis, and coding. Teams collaborate with Claude where they already work. Enterprises get the administrative controls and security needed to deploy AI across the business.
Extract, transform, load for computer vision. Your datasets in every format. Balanced, labeled, versioned.
Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. Leveraging our API, developers can quickly build applications able to classify images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detect individual objects and faces within images, build metadata on image catalog, moderate offensive content, enable new marketing scenarios through image sentiment analysis, and more.
An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.
Discover how our solutions help retailers increase customer engagement and boost conversion rates and sales.
GoSpotCheck by FORM's end-to-end platform is made up of 3 parts: an admin dashboard for task building and distribution for project/program managers, a mobile app for task completion for frontline teams, and reporting dashboards to improve visibility and decision making for leaders. GoSpotCheck by FORM's advanced features include PhotoWorks photo reporting, Insights business intelligence reporting powered by Looker, integrated image recognition and machine learning for merchandising audits, an open API, and a variety of integrations including a Salesforce sync package.
Video AI enables powerful content discovery and engaging video experiences.
Machine learning and data operations teams of all sizes use Encord's collaborative applications, automation features, and APIs to annotate, manage, and evaluate their datasets for computer vision.
Today's challenge to train machine learning models is not to get the data itself - but to get the clean labelled data - to avoid having a "garbage in garbage out" loop. While current digital transformation by AI is powered by machine learning models, this process of data annotation becomes critical. Kili Technology serves as the training data solution to facilitate data annotation for image, video and text for various Computer Vision and NLP tasks with a robust tool to manage data quality and simplify collaboration.
1. Automated catalog management 2. Automated image moderation (for marketplaces) 3. Automated on-model imagery 4. AI-enabled styling and outfitting 5. AI-enabled dynamic 1:1 personalization 6. Personalized shopper journeys