Recall Augmented Browsing

Table of Contents

Recall: AI-Powered Personal Knowledge Management Platform
Description Rewrite
Deep Service Report
Country
Pros & Cons
Pricing
Competitor Comparison
Team Members
Team Members About
Team Members SNS Links
Conclusion
Final Thoughts

Recall: AI-Powered Personal Knowledge Management Platform

Recall is an innovative AI-powered personal knowledge management platform that transforms scattered content into a self-organizing knowledge base. Founded in Amsterdam in 2022, the service has attracted over 200,000 users globally and recently secured \$1.5 million in pre-seed funding led by Jason Calacanis. The platform’s signature feature, Augmented Browsing, resurfaces related content from users’ personal knowledge bases in real-time as they browse the web, turning passive content consumption into active discovery and learning.

Description Rewrite

Recall is a comprehensive personal AI encyclopedia that helps users summarize, organize, and retain information from various digital sources. The platform combines AI-powered summarization with intelligent knowledge management, creating automatic connections between saved content through knowledge graphs. Unlike traditional note-taking tools, Recall emphasizes active learning through spaced repetition and provides an augmented browsing experience that surfaces relevant past content as users explore new information online. The service supports multiple content types including YouTube videos, PDFs, articles, Google Docs, and more, making it a versatile solution for researchers, students, and professionals seeking to build and maintain their personal knowledge base.

Deep Service Report

Recall addresses the fundamental challenge of information overload in the digital age by providing a sophisticated yet user-friendly knowledge management solution. The platform operates on four core principles: summarize, categorize, connect, and review.

The summarization feature utilizes advanced AI models to create both concise and detailed summaries of various content types. The system can process YouTube videos up to 10 hours long, PDFs up to 300 pages, and various web articles with high accuracy. Users can customize summary length and format according to their preferences.

The categorization system automatically organizes content using topic-based tags that adapt to users’ existing taxonomy. This eliminates the manual effort traditionally required in knowledge management systems and ensures consistent organization as the knowledge base grows.

The connection feature represents Recall’s most innovative aspect. Content is stored in an automatically generated knowledge graph that reveals hidden relationships between different pieces of information. This network effect becomes more valuable as users add more content, creating a comprehensive web of interconnected knowledge.

The review component implements scientifically-backed learning techniques, particularly spaced repetition, to help users retain information over time. The system generates quiz questions from saved content and schedules reviews at optimal intervals for long-term retention.

Augmented Browsing serves as the platform’s flagship feature, operating as a local-first system that processes browsing activity on users’ devices without sending data to external servers. As users browse the web, the system automatically detects keywords and concepts, then surfaces relevant connections to previously saved content in real-time.

The platform maintains strong privacy and security standards, operating on an offline-first principle where browsing data remains local while only saved content is stored in the cloud. Users retain full ownership and control of their data, with export capabilities available in Markdown format.

Country

Netherlands (Amsterdam headquarters)

Pros & Cons

Pros:

High-quality AI summarization across multiple content types
Innovative augmented browsing feature that provides real-time content connections
Automatic knowledge graph generation and content categorization
Strong privacy and security features with local-first browsing
Cross-platform availability including browser extensions and mobile apps
Scientific learning techniques including spaced repetition
Offline-first approach with data export capabilities
Generous free tier with meaningful functionality

Cons:

Limited free plan with only 10 AI summaries
No standalone desktop application
Lack of API for third-party integrations
Some complex information may be oversimplified in summaries
Dependency on external AI services for certain functions
Limited collaborative features for team use
Relatively new platform with evolving feature set

Pricing

Recall Lite (Free)

10 free content summaries and chats
Unlimited read-it-later storage
Unlimited personal notes
Unlimited AI quiz questions

Recall Plus (\$7/month, billed annually)

Unlimited content summaries and chats
Augmented browsing functionality
Automatic categorization
Automatic knowledge graph
Multi-language support

Recall Business

Custom pricing for enterprise needs
Designed for collective company intelligence
Contact required for pricing details

Competitor Comparison

Feature	Recall	Notion	Obsidian	Roam Research	RemNote
AI Summarization	Yes	Limited	No	No	Yes
Knowledge Graph	Automatic	Manual	Manual	Automatic	Manual
Augmented Browsing	Yes	No	No	No	No
Spaced Repetition	Yes	No	Plugins	No	Yes
Free Tier	10 summaries	Limited	Free	31-day trial	Limited
Mobile Apps	Yes	Yes	No	Yes	Yes
Browser Extension	Yes	Yes	No	Yes	Yes
Pricing (Monthly)	\$7	\$8+	Free	\$15	\$8+

Team Members

Paul Richards – Chief Executive Officer \& Co-Founder
Igor Gligorevic – Chief Technology Officer \& Co-Founder
Sankari Nair – Chief Operating Officer \& Co-Founder

Team Members About

Paul Richards brings over a decade of startup experience as a developer-turned-entrepreneur. He holds a BSc Honours in Electrical Engineering from the University of Cape Town, graduating in 2013. Richards was the third employee at Paterva (later acquired and renamed Maltego), where he worked through the company’s growth years until its acquisition in 2018. His experience at Maltego provided deep expertise in knowledge graphs and cybersecurity applications. After the acquisition, he operated as a freelance software developer before founding Recall in October 2022.
Igor Gligorevic serves as the Chief Technology Officer and co-founder, bringing full-stack development expertise to the platform. He is based in Novi Sad, Serbia, and holds credentials from the Faculty of Technical Sciences at the University of Novi Sad. Gligorevic is recognized for his exceptional development skills and was brought on to accelerate Recall’s technical development after the initial funding success.
Sankari Nair joins as Chief Operating Officer and co-founder with extensive experience in operations and analytics. She holds a Bachelor of Science Honours in Mechatronic Engineering from the University of Cape Town and has completed leadership and strategy programs at Harvard Business School Online. Nair brings seven years of experience from Uber, where she progressed through various analytical and operational roles including Head of Analytics and Automation for EMEA Rides Central Operations. She also has experience from CloudKitchens and previously worked as an Engineer in Training at Denel Dynamics.

Team Members SNS Links

Paul Richards

LinkedIn: https://nl.linkedin.com/in/paulrchds

Igor Gligorevic

LinkedIn: https://rs.linkedin.com/in/igor-gligorevic

Sankari Nair

LinkedIn: https://nl.linkedin.com/in/sankari-nair-13a549a7

Conclusion

Recall represents a significant innovation in personal knowledge management, successfully combining AI-powered summarization with intelligent knowledge discovery. The company’s rapid growth to 200,000 users and successful funding round demonstrate strong market validation for their approach. The platform’s emphasis on privacy, local-first processing, and scientific learning techniques positions it well in an increasingly crowded knowledge management space. While the service faces competition from established players like Notion and Obsidian, its unique augmented browsing feature and automatic knowledge graph generation provide clear differentiation. The experienced founding team’s background in knowledge graphs, operations, and technology development suggests strong execution capability for future growth and feature development.

Final Thoughts

Recall Augmented Browsing offers a compelling solution for anyone struggling with information overload. Its ability to surface relevant content in context can significantly enhance productivity and learning. While privacy concerns should be carefully considered, the potential benefits of personalized discovery and seamless browsing integration make Recall a tool worth exploring for knowledge workers, researchers, and lifelong learners.