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