Aardvark Intel offers a no‑code data platform that ingests PDFs, contracts, spreadsheets, and other unstructured sources, automatically extracting fields, tables, entities, and relationships into a clean, searchable knowledge graph. The platform provides human‑in‑the‑loop validation and granular permission controls, enabling both team members and AI agents to retrieve accurate information and power automation workflows without extensive engineering effort.
Funding
Funding not disclosed
Founders
Product
Problem
Companies store critical information in PDFs, spreadsheets, contracts, and other unstructured sources, making it difficult for both humans and AI agents to locate, understand, and use the data reliably. This fragmented knowledge hampers onboarding, decision‑making, and automation, especially for organizations without extensive engineering resources to build custom data pipelines.
Solution
Aardvark Intel provides a data platform that ingests documents, spreadsheets, and databases, then extracts fields, tables, entities, and relationships into a clean, structured format. The platform offers human‑in‑the‑loop validation tools to ensure accuracy and applies granular permission controls so AI agents and team members access only the knowledge they need. By creating a shared, searchable knowledge layer, the service enables AI assistants to retrieve precise answers and supports automation workflows across the organization. The solution is delivered through a no‑code interface, allowing users of varying technical skill to build and maintain the data foundation without extensive engineering effort.
Target Audience
Primary customers are mid‑size to large enterprises that rely on AI assistants or automation and need a reliable, searchable data layer, as well as knowledge‑intensive teams such as legal, finance, and operations seeking to streamline document‑driven workflows.
Features
- Automatic extraction of structured data (fields, tables, entities) from PDFs, contracts, invoices, spreadsheets, and databases
- Human‑in‑the‑loop validation interface for correcting and confirming extracted information
- Granular permission system to govern AI and user access to specific knowledge assets
- Searchable, connected knowledge graph that captures relationships between data points across sources
- No‑code workflow builder enabling teams to create and update data pipelines without coding
- API and integration hooks for connecting AI agents and downstream automation tools