Portals
Introduction: | Portals is an intelligent knowledge system that provides a centralized workspace for effortlessly managing data, notes, and tasks with the help of AI tools and agents. |
Recorded in: | 6/18/2025 |
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What is Portals?
Portals is an intelligent knowledge system designed to centralize and streamline data and note management using AI. It provides a flexible platform for individuals and teams to work with AI tools, transcribe audio, manage tasks and events, and build a comprehensive knowledge base. Its core value proposition lies in eliminating context switching and enabling efficient data processing from various sources, transforming unstructured information into actionable, object-based data.
How to use Portals
Users can get started with Portals for free by signing up. The platform offers a streamlined side-by-side workspace where users can interact with documents alongside an AI assistant. Data can be ingested from multiple sources including PDFs, other file formats, web pages, and audio recordings. Users can then leverage AI agents to process this data, extract structured information, create custom data objects, answer questions, and generate content. Portals operates on a freemium model, offering a 'Free' tier with limited messages and uploads, and a 'Premium (Early Adopter)' tier for $10/month providing unlimited usage and access to advanced AI models.
Portals's core features
Streamlined side-by-side workspace for documents and AI assistant
Object-based data systems for structured data extraction
Comprehensive data ingestion from PDFs, files, web pages, and audio recordings
High-accuracy audio transcription
Intelligent parsing and processing of various file formats
Web content scraping
AI-first knowledge agents for answering questions and content generation
Integration with latest AI LLM models (GPT-4o, Claude, Gemini, DeepSeek)
Customizable data objects
Use cases of Portals
Transcribing meeting notes into searchable text
Managing tasks and events extracted from various documents
Building and maintaining a centralized knowledge base
Extracting structured data from unstructured text (e.g., contracts, reports)
Converting voice recordings or lectures into written content
Analyzing and extracting insights from large documents and spreadsheets
Gathering and processing information from multiple web pages
Generating summaries or new content based on ingested data
Getting AI-powered answers to questions using personal or organizational knowledge
Streamlining research by centralizing and processing diverse data sources