What is Graphlit?

Graphlit is an API-first platform for developers building knowledge-driven AI applications.
Let's break that down...
  • API-first: Graphlit is a cloud-native managed platform, which is accessed via GraphQL API.
  • Knowledge-driven: For accelerating the development of applications based on domain-specific content, and the relationships between the people, organizations, places and topics found in that content.
  • AI applications: With the recent innovations of Large Language Models (LLMs) and multimodal AI models, application developers can more easily extract knowledge from multimedia content, ask questions about the content, and search, summarize, and repurpose the extracted knowledge.

Knowledge Applications

Graphlit provides a unique platform for building what we call Knowledge Applications, where the benefit to the user is from the knowledge extracted from their complex data, not just in the data itself.
Businesses create and collect many forms of complex data, such as Word documents, PDFs, meeting video recordings, emails, and Slack messages. Not to mention, mobile phone images, CAD drawings, 3D renders and geospatial data. Locked in these files is the collective knowledge of the organization, which previously has been difficult to search, catalog, and integrate.
Embedded knowledge can found outside businesses, as well: Podcasts, YouTube videos, Twitch streams, Reddit forums, and Web content.
Using AI, Graphlit builds a searchable, conversational knowledge graph from your or your user's data. As a platform, Graphlit provides webhooks and a connector model for extensibility, because the value comes from integrating this knowledge with your application.

Developer Focused

Graphlit is for developers building innovative applications using AI, which leverage domain knowledge in any vertical market: i.e. legal, sales, entertainment, healthcare, construction/engineering.
Graphlit lets you focus on your unique application requirements, while providing an easy-to-use API which simplifies complex data workflows, including data ingestion, knowledge extraction, semantic search, alerting and application integrations.