Carbon provides a universal retrieval engine that enables Large Language Models (LLMs) to access unstructured data from over 15 sources, including cloud storage and email platforms. This technology streamlines the integration of diverse data formats, enhancing the efficiency of AI applications by simplifying data retrieval and synchronization for developers.
Funding
$1.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Large Language Models (LLMs) require access to diverse and often unstructured data sources to provide comprehensive and accurate responses, but integrating these sources can be complex and time-consuming. Developers face challenges in connecting to various platforms, parsing different file formats, and maintaining data synchronization.
Solution
Carbon provides a universal data retrieval engine that simplifies the process of connecting LLMs to unstructured data from over 25 sources, including cloud storage solutions, email platforms, and document management systems. The platform offers pre-built connectors to ingest data, built-in parsing for various file formats, and tools to clean, chunk, and vectorize content for optimal LLM performance. Carbon streamlines content management with a unified API and provides features like hybrid search and embedding generation, enabling developers to build Retrieval Augmented Generation (RAG) applications more efficiently.
Target Audience
Carbon's primary customers are developers and organizations building Generative AI applications, including AI assistants, chatbots, and other LLM-powered tools, who need to integrate unstructured data from various sources.
Features
- Pre-built connectors for over 25 data sources, including Google Drive, Dropbox, OneDrive, Notion, and more.
- Built-in parsing of 20+ file formats into plain text and markdown.
- Data processing pipeline to clean, chunk, and vectorize content.
- Hybrid search capabilities with semantic and keyword search.
- Embedding generation with multiple embedding models and chunking strategies.
- Document management API for content management and change notifications.
- SOC 2 Type II compliance with data encryption at rest and in transit.
- Managed OAuth for third-party services.