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What is IBM Granite?

IBM® Granite™ offers a collection of AI models tailored for business use, developed with a strong emphasis on trustworthiness and scalability in AI solutions. At present, the open-source Granite models are readily available for use. Our mission is to democratize AI access for developers, which is why we have made the core Granite Code, along with Time Series, Language, and GeoSpatial models, available as open-source on Hugging Face. These resources are shared under the permissive Apache 2.0 license, enabling broad commercial usage without significant limitations. Each Granite model is crafted using carefully curated data, providing outstanding transparency about the origins of the training material. Furthermore, we have released tools for validating and maintaining the quality of this data to the public, adhering to the high standards necessary for enterprise applications. This unwavering commitment to transparency and quality not only underlines our dedication to innovation but also encourages collaboration within the AI community, paving the way for future advancements.

What is Granite?

Granite functions as a reliable storage solution for documents, designed specifically for households and solo entrepreneurs alike. It supports a wide array of file formats, including PDFs, scans, smartphone images, text documents, and email attachments, while efficiently identifying and extracting essential information like dates and financial figures, organizing records based on individuals, properties, vehicles, and tax years. The platform boasts compatibility with over 110 document types, encompassing tax documents, identity proofs, insurance papers, lease agreements, vehicle registrations, and medical files. Users can easily search through both content and context, with Granite Paid offering straightforward answers to common inquiries in clear English, complete with citations from the original documents. Accessible through web browsers and iPhones, the paid version enhances user experience by permitting email submissions, creating multiple document vaults, providing sharing capabilities, and securing emergency access. Furthermore, users are able to synchronize their documents with Dropbox, and the system includes a read-only API along with an MCP server that allows compatible assistants and tools to query vault contents. As an additional feature, users can conveniently download their entire vault as a ZIP file, containing all original documents, which guarantees both accessibility and security of their information. This all-encompassing service is designed to streamline the management of documents, making life easier for its users while promoting organization and efficiency. As such, Granite represents a valuable tool for anyone looking to maintain order in their important files.

Media

Media

No images available

Integrations Supported

Granite Code
IBM watsonx.ai
Kiin
LM-Kit.NET
Locally AI
Runpod

Integrations Supported

Claude Code
Claude Desktop
Codex CLI
Cursor
Dropbox
Model Context Protocol (MCP)
Raycast

API Availability

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

$99/year
Granite Free costs $0 and includes up to 25 documents and 1 GB. Granite Paid is $99 per year through web signup, billed annually, with no document cap and 100 GB. The annual iOS in-app purchase is $129. Paid adds Ask, multiple vaults, email-in, Dropbox sync, sharing, and emergency access. There is no free trial.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
iPhone

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/granite

Company Facts

Organization Name

Granite

Company Location

United States

Company Website

granite.co

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Categories and Features

Document Management

Not specified

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