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Carbon

Connect external data to LLMs, no matter the source.

Starts from $85/month

Overview of Carbon

What is Carbon ?

Carbon is a developer-first platform designed to enhance the capabilities of large language models (LLMs) by connecting them to external data sources. Carbon allows LLMs to access unstructured data from a variety of sources, streamlining content management through a unified ... Read More

API available
fire
Free Trial available

Carbon Platforms

  • Browser Based (Cloud)

Carbon Customer Type

  • Large Enterprises
  • Medium Business
  • Small Business

Carbon Features

Show All

Pricing of Carbon

Starts from $85

  • Free Trial,
  • Subscription,
  • Quotation Based

Screenshot of the Carbon Pricing Page (Click on the image to visit Carbon 's Pricing page)

Disclaimer: Pricing information for Carbon is provided by the software vendor or sourced from publicly accessible materials. Final cost negotiations and purchasing must be handled directly with the seller. For the latest information on pricing, visit website. Pricing information was last updated on .

Carbon Customers

ClearFeed-logo

ClearFeed

Opinly.ai-logo

Opinly.ai

Sensay-logo

Sensay

Carbon FAQs

Carbon is a Generative AI Infrastructure Software. Carbon offers the following functionalities:
  • Generative learning
  • Parameter Tuning
  • Model Deployment
  • Scalability
  • API Integration
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Yes, Carbon provides API.
No, Carbon doesn’t provide mobile app.
Carbon is located in Not available
Carbon offers Free Trial, Subscription, Quotation Based pricing models
We don't have information regarding integrations of the Carbon as of now.

Carbon Support

Customer Service

Online

Location

Not available

Read More about Carbon

Carbon is a developer-first platform designed to enhance the capabilities of large language models (LLMs) by connecting them to external data sources. Carbon allows LLMs to access unstructured data from a variety of sources, streamlining content management through a unified API. It empowers organizations to manage data efficiently while ensuring high-quality, contextually aware responses.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

Researched by Rajat Gupta