LithicBlue offers an AI-powered platform that converts unstructured documents into a structured knowledge base for enterprise use. It enables users to define research scopes and generate traceable, insightful reports by synthesizing internal data with external research and live feeds.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle to efficiently synthesize disparate internal documents and external data into actionable intelligence. This manual process is time-consuming and prone to overlooking critical insights, hindering rapid decision-making and strategic planning.
Solution
LithicBlue provides an AI-powered platform that transforms unstructured documents into a structured knowledge base, akin to an organizational wiki. Users upload their existing files, notes, and reports, which are then processed and indexed for AI agent utilization. The platform facilitates scope definition through natural language interaction or by uploading existing scope documents, guiding the AI's research parameters. Proprietary AI agents then leverage this structured context, combined with tailored industry research and live data feeds, to generate traceable, insightful reports. These reports are designed to be reviewed, edited, and downloaded, offering customizable outputs that align with specific organizational objectives and project scopes.
Target Audience
Primary customers are business analysts, strategic planners, and research teams within enterprises who require efficient methods for knowledge synthesis and data-driven report generation.
Features
- Document ingestion and parsing to create a structured, queryable organizational knowledge graph.
- Natural language interface for defining project scope, research objectives, and desired report formats.
- AI agent framework capable of synthesizing information from uploaded documents, external research, and live data sources.
- Traceability features allowing users to audit the provenance of AI-generated insights and data points.
- Report generation with customizable parameters for content, depth, and presentation.
- In-platform editing and annotation tools for refining AI-generated outputs.
- Secure data handling and processing to maintain document confidentiality.