Liminary
What if your AI could remember everything you've ever learned?
Liminary is an AI knowledge companion designed for consultants and strategists, helping them make high-stakes recommendations grounded in real research. It acts as a memory layer across all your AI chats and research, surfacing relevant information when needed and connecting disparate insights.
- One-click capture of web content, PDFs, documents, videos, and AI chats
- Proactive recall of relevant knowledge when you need it
- Synthesis and analysis of text, images, and content
- Fact-checking and gap detection for research completeness
- Integration with Google Docs, Sheets, and Slides
- Consultants and strategists making high-stakes recommendations
- Venture capital investors needing to synthesize diverse deal intelligence
- Marketers crafting campaigns from scattered research and internal knowledge
- Relies on a Chrome extension for browser activity data collection
- Free tier has significant limitations on saved documents and uploads
- Team collaboration features are only available in the custom-priced Team plan
- Explorer: Free (200 saved documents, 10 local uploads/day, 3 writing assistant uses, basic recall, 30 days chat history, 10 meetings with assistant use/month)
- Pro: $29/month (Everything in Explorer, plus: 10000 saved sources, 100 local uploads/day, unlimited writing assistant uses, advanced recall with fact-check and gap detection, unlimited meetings with assistant use, model selection, unlimited chat history, collaborate with up to 10 people)
- Team: Custom (Everything in Pro, plus: unlimited sources and uploads, shared team knowledge base, share with up to 50 people, workflow integrations, custom onboarding, priority support)
Team Size
small
AI Model
Anthropic Claude, OpenAI GPT, Google Gemini, Amazon Nova (user selectable)
No
Name
LiminaryLocation
United States (AWS infrastructure)
Liminary is building the memory layer for the AI era, aiming to amplify human perspective by handling the mundane aspects of knowledge work and freeing users to focus on creativity and expertise.
What is Liminary and how does it help knowledge workers?
Liminary is an AI knowledge companion for consultants and strategists, designed to help them make high-stakes recommendations grounded in real research. It compounds expertise by providing a persistent memory layer across all AI chats and research, proactively recalling relevant knowledge.
How is Liminary different from other AI knowledge tools?
Liminary differentiates itself by building a persistent knowledge base that grows with your career, rather than temporary notebooks or fragmented chat histories. It connects insights from various sources and proactively surfaces them when needed, rather than requiring constant searching.
How does Liminary handle user data and privacy?
Liminary prioritizes data security and privacy. All data is encrypted at rest and in motion, stored on AWS infrastructure in the US. They have enterprise agreements with AI model providers to prevent user data from being used for training, and sensitive data redaction is triggered upon data arrival. Users have control over their data, including deletion options.
Which file formats and platforms does Liminary support?
Liminary supports saving content from web pages, PDFs, documents, videos, and AI chats (ChatGPT, Claude, Gemini, and more). It also integrates with Google Docs, Sheets, and Slides for optimized content extraction.
Can Liminary help maintain client confidentiality for consultants?
While the site mentions the question 'Can consultants maintain client confidentiality with Liminary?' in its FAQ, a direct answer isn't provided in the scraped content. However, Liminary emphasizes its robust security measures, including data encryption, sensitive data redaction, and enterprise agreements with AI models that prevent data training, which are all crucial for confidentiality.
- Consultants and strategists making high-stakes recommendations
- Venture capital investors needing to synthesize diverse deal intelligence
- Marketers crafting campaigns from scattered research and internal knowledge