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What is Sanctum?

Sanctum functions as a personal AI assistant that enables users to interact with a variety of open-source large language models directly on their devices. Designed to create a secure environment for AI operations, Sanctum guarantees that all data is encrypted and remains solely on the user's computer. The platform streamlines the process of running AI locally by providing an intuitive desktop application that allows users to quickly set up large language models on a Mac without complex installation procedures, and it functions entirely offline after the initial download is completed. Emphasizing user privacy, Sanctum employs on-device processing and encryption, giving users complete authority over their data. With seamless integration with Hugging Face, users can easily explore a vast selection of GGUF models, check compatibility, download various models, and use them on both PC and Mac systems. Moreover, Sanctum supports secure interactions with private PDF documents, enabling users to ask questions, summarize content, and engage with their files in a safe environment, thereby significantly enriching the overall user experience. This combination of user-friendly accessibility and robust security features makes Sanctum an appealing option for anyone in search of a personal AI solution that prioritizes privacy and control. Furthermore, Sanctum's commitment to providing a secure and efficient AI experience sets it apart in a rapidly evolving technological landscape.

What is Klee?

Unlock the potential of a secure and localized AI experience right from your desktop, delivering comprehensive insights while ensuring total data privacy and security. Our cutting-edge application designed for macOS merges efficiency, privacy, and intelligence through advanced AI capabilities. The RAG (Retrieval-Augmented Generation) system enhances the large language model's functionality by leveraging data from a local knowledge base, enabling you to safeguard sensitive information while elevating the quality of the model's responses. To configure RAG on your local system, you start by segmenting documents into smaller pieces, converting these segments into vectors, and storing them in a vector database for easy retrieval. This vectorized data is essential during the retrieval phase. When users present a query, the system retrieves the most relevant segments from the local knowledge base and integrates them with the initial query to generate a precise response using the LLM. Furthermore, we are excited to provide individual users with lifetime free access to our application, reinforcing our commitment to user privacy and data security, which distinguishes our solution in a competitive landscape. In addition to these features, users can expect regular updates that will continually enhance the application’s functionality and user experience.

Media

Media

Integrations Supported

Hugging Face
Codestral
Codestral Mamba
LangChain
Llama
Llama 2
Llama 3.1
Llama 3.3
Mathstral
Meta Pixel
Ministral 3B
Ministral 8B
Mistral 7B
Mistral AI
Mistral Large
Mistral NeMo
Mistral Small
Mixtral 8x7B
Pixtral Large
Swift

Integrations Supported

Hugging Face
Codestral
Codestral Mamba
LangChain
Llama
Llama 2
Llama 3.1
Llama 3.3
Mathstral
Meta Pixel
Ministral 3B
Ministral 8B
Mistral 7B
Mistral AI
Mistral Large
Mistral NeMo
Mistral Small
Mixtral 8x7B
Pixtral Large
Swift

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sanctum

Date Founded

2018

Company Location

United States

Company Website

sanctum.ai/

Company Facts

Organization Name

Klee

Company Website

kleedesktop.com

Categories and Features

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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