Portals

Product Introduction

1. Portals is an AI-enhanced knowledge management platform that combines note-taking, multi-format data ingestion, and workflow automation through structured data objects. It enables users to create, organize, and operationalize knowledge assets through integrated AI agents capable of content generation, task management, and intelligent retrieval. The system supports direct document creation, file parsing (PDFs, spreadsheets), web scraping, and audio transcription for comprehensive data aggregation.

2. The core value lies in its ability to transform unstructured information into actionable knowledge through object-oriented data architecture and AI-powered automation. By unifying document management, AI assistance, and structured data workflows, it eliminates productivity bottlenecks in research, content creation, and team collaboration while preparing data for advanced AI applications.

Main Features

1. The platform offers a split-view workspace that displays documents alongside AI assistants or data objects, enabling real-time collaboration with AI models during content creation. This interface supports simultaneous editing of notes while querying relevant knowledge objects or receiving AI-generated suggestions, maintaining focus through contextual tool integration.

2. Object-Based Data Systems allow users to define custom data schemas with field-specific parameters, transforming raw information into structured knowledge objects. These objects can trigger automated workflows, connect across documents, and serve as training data for AI agents, with native support for relational data mapping and API integrations.

3. Multi-source ingestion engine processes PDFs (text extraction with layout preservation), audio files (transcription via speech-to-text models), and web content (CSS-selector based scraping). The system automatically parses tabular data from spreadsheets, extracts metadata from documents, and normalizes content for cross-platform search operations.

Problems Solved

1. Addresses information fragmentation across documents, meeting notes, and research materials by providing a unified repository with AI-powered contextual recall. The platform solves data siloing through automated structuring of disparate formats (audio, web content, files) into searchable, interconnected knowledge objects.

2. Targets knowledge workers, research teams, and project managers requiring systematic organization of technical documentation, meeting outcomes, and reference materials. Particularly benefits remote teams needing collaborative AI assistance and professionals handling large volumes of multi-format data across research, consulting, and product development domains.

3. Enables use cases like converting client meetings (audio transcriptions) into actionable tasks with deadlines, transforming technical PDFs into Q&A datasets for AI support agents, and maintaining version-controlled project wikis with automated updates from web sources. Supports compliance teams in auditing information trails and content teams in repurposing materials across formats.

Unique Advantages

1. Differentiates through combined object-oriented data architecture and multi-model AI orchestration, enabling simultaneous use of GPT-4o, Claude 3.7 Sonnet, and Gemini 2.0 Flash within workflows. Unlike single-model platforms, this allows optimal model selection for specific tasks like creative writing versus data analysis.

2. Implements dynamic data binding where AI agents automatically update connected documents when source objects change, maintaining consistency across knowledge bases. The system's file parser preserves original formatting during text extraction from complex PDFs and maintains spreadsheet data relationships during import.

3. Offers early adopters permanent access to premium AI models at locked pricing while providing infrastructure for custom agent development through API-accessible knowledge objects. Competitively outperforms through zero switching costs between chat-based AI interaction and document editing, with all actions logged for audit trails.

Frequently Asked Questions (FAQ)

1. What file formats does Portals support for data ingestion? The platform processes PDFs (text and table extraction), DOCX, XLSX, PPTX, TXT, MP3, WAV, and web URLs. Audio transcription supports 37 languages with speaker diarization, while spreadsheet imports maintain formula relationships and data validation rules.

2. Which AI models are available in the Premium plan? Premium subscribers access GPT-4o, Claude 3.7 Sonnet, Gemini 2.0 Flash, and DeepSeek R1 models. Users can parallel-process requests through multiple models or chain them in workflows, with API access for custom model integrations.

3. How does the Early Adopter pricing work? The $10/month Premium plan offers lifetime price protection for users who subscribe before general availability, including unlimited usage of all AI models and ingestion tools. This includes future features like team permissions and API access at no additional cost.