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Carbon

A data connector API for AI apps: it pulled files and web content from sources such as Google Drive and Notion into vector databases for retrieval.

What Carbon is

Written from an archived copy of its website, read on 28 October 2026. The product has closed.

Carbon (carbon.ai) was a data connector service for applications built on large language models, made by JCDT, doing business as Carbon. The carbon.ai site no longer loads; this description comes from the Internet Archive copy of its home page from 2 January 2025, so the service is listed as closed.

Carbon offered one API with more than 25 pre-built connectors. They ingested unstructured data, such as files from Google Drive, Notion, Dropbox or OneDrive and the text of websites, and loaded it into a vector database. A vector database stores text as embeddings, lists of numbers that capture meaning, so an AI app can find the passages closest to a question; this method is called retrieval-augmented generation (RAG). Carbon parsed more than 20 file formats into plain text and Markdown, split the text into chunks, created embeddings, synced each source on a custom schedule and offered hybrid semantic and keyword search. It also handled OAuth logins to third-party services.

It was a hosted API billed per character synced, with a monthly Professional plan as an option; a self-managed deployment was available on custom contracts.

Made by
JCDT, doing business as Carbon
Price
Pay as you go: US$0.02 per 3,125 characters synced; Professional plan US$85 a month (archive copy of 2 January 2025) (read 28 October 2026)
Free plan
sign-up was free; pay as you go

Who uses it, and for what

One row per story. The grade is for the claim that the business uses this tool, not for its revenue.

StoryWhat it does thereWhenCost statedGradeSource
My AskAIService that reads websites and third-party sources into the customer's knowledge base.CPinecone blog, 14 June 2024: RAG Brag with My AskAI founders, Mike Heap and Alex Rainey

Grade A: the tool's maker or a payment processor confirms the use. Grade B: an independent report, or the tool is visible in public code. Grade C: the founder or the company says so.

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