Graphlit

Extracts insights from unstructured data like documents, audio, and images using Large Multimodal Models, automating content workflows and enriching data with third-party APIs.
Unstructured Data Processing Artificial Intelligence Integration API Integration Multimodal Content Processing

Graphlit is an API-first platform for developers building AI-infused apps using unstructured data. It taps into domain knowledge in a range of vertical markets, including law, sales, entertainment, health care and engineering. Graphlit uses Large Multimodal Models (LMMs) to extract information from unstructured data like documents, audio, video and images.

Graphlit can import data from websites, cloud storage, SharePoint, podcasts, Jira, Notion, YouTube, email and Slack. That data can then be processed and enriched through automated content workflows, web scraping and the use of third-party APIs like Wikipedia and Crunchbase. Graphlit also can perform OCR and LLM-based text extraction from documents and images.

The service offers multimodal features like automatic audio transcription and image descriptions generated with visual object detection. You can also perform similarity searches by image embeddings and generate chatbot conversations based on your content. Graphlit also offers managed API integration so you don't have to set up the underlying infrastructure, making it serverless and cloud-native.

Graphlit has a range of pricing plans, including a free tier with 1GB of content storage, 1000 content items and 3 feeds. Paid tiers, including Hobby, Starter and Growth, offer more storage, content items and chatbot conversations, with different pricing depending on how much you use features like audio transcription and AI model calls.

For developers building apps that use unstructured data and AI, Graphlit offers a managed and scalable way to incorporate LLMs and perform tasks like text extraction, entity recognition and multimodal content processing.

Published on June 14, 2024

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