Use Case
Document Management - Limited partner reporting, side letters, subscription agreements
Transform unstructured GP communications into structured, actionable data automatically with advanced document intelligence.
Description
Private fund operations teams spend up to 80% of their time manually extracting data from PDF reports, capital call notices, and distribution statements. Next Gate Tech's Document Intelligence Pipeline uses advanced LLM technology combined with private markets domain expertise to automatically extract critical financial data points and convert them directly into structured transactions.
This eliminates manual data entry, accelerates processing from days to minutes, and virtually eliminates transcription errors.
Key Features
- Multi-Format Document Processing: Handle GP reports, capital calls, distributions, and K-1s across any format
- Intelligent Data Extraction: Identify and extract key financial data points with context-aware precision
- Direct Transaction Creation: Convert extracted data into accounting entries automatically
- Validation & Confidence Scoring: Flag uncertain extractions for human review with confidence metrics
- Continuous Learning: System improves accuracy through feedback on validated extractions
Data Objects
- Document Classification Taxonomy
- Extracted Transaction Templates
- GP Communication Archive
- Data Point Validation Rules
- Exception Management Queue
Intelligence Features
- Natural language understanding of complex financial narratives
- Contextual extraction across multi-page documents
- Automatic detection of document types and routing
- Historical pattern recognition for data validation
- Smart field mapping to transaction templates
- Anomaly flagging for unusual values or patterns
“Asset managers must adapt quickly to meet investors' expectations and having a reliable partner like Next Gate Tech is essential for this transition.”
BJ
Benoît Joseph
Chief Risk Officer, Trustmoore
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