Turn any document into structured data
AI-powered extraction from PDFs, spreadsheets, emails, and any unstructured document format. Capital calls, NAV statements, K-1s, loan notices — Aquata reads them all.
Pre-Built Connectors
Documents are already a first-class source in the marketplace
PDFs, spreadsheets, capital call notices, K-1s, NAV statements, and loan notices can be ingested and normalized with Document Mapping.
How It Works
From file upload to structured investment data in three steps
Browse document source workflows
Start with the Marketplace and Document Mapping capabilities to identify the document patterns you want to normalize first.
Upload or receive source files
Bring in PDFs, spreadsheets, emailed reports, and recurring document drops through Pipelines, storage connectors, or ad-hoc upload.
Query normalized data
Extracted fields map into structured investment datasets that teams can query directly in Aquata, use with AI agents, or deliver downstream.
What You Can Do
Four workflows, one document ingestion layer
Unstructured investment documents become normalized positions, capital activity, accounting data, and operating events without building one-off parsers.
Turn capital calls, distribution notices, and investor statements into structured fund activity records.
Capture commitments, calls, distributions, due dates, and investor identifiers from documents that previously required manual data entry.
Common Questions
Aquata can process capital call notices, K-1s, NAV statements, investor reports, loan notices, spreadsheets, and other recurring investment operations documents.
Upload a document. Get structured data.
LLM-powered extraction from any investment document. No templates, no rules to maintain.
