UDP turns the Excels, PDFs and reports in your document library into structured JSON, so metrics across thousands of documents become one queryable dataset for research and LLMs.
01 / ExtractKey metrics, found automaticallyFinancials, production data, property attributes and customer metrics from tables, text blocks and mixed formats, with unit recognition.
02 / NormalizeOne standard formatEntity tagging, date normalization, unit and currency detection, and cross-document linking. Historic and forecast values kept apart.
03 / CompareBenchmark across the libraryFilter, benchmark and centralize across companies, wells or properties to speed up diligence.
Document types
Built for complex documents.
DocumentWhat we extract
Financial statements and investor analysesRevenue, expenses, cash flow, customer metrics, valuation drivers and forecast assumptions
Investor data roomsPortfolio company metrics, operating data and investor updates
Regulatory reportsCompliance disclosures, policy changes and industry guidance
Real estate memorandumsProperty details, lease terms, financing structures and cash flow projections
Oil and gas completion reportsWell completions, production data, drilling inputs and operational performance
Insurance and risk documentsMD&A sections, rate change filings, policy adjustments and claims ratios
Use cases
One queryable library.
Repository processingConvert large collections of reports into structured, machine-readable datasets.
Enterprise library searchSearch across your whole document library with standardized indexing.
LLM-ready dataGive internal models clean, structured inputs instead of raw files.
Actuals vs. projectionsMeasure outcomes against forecasts, from financials to production data.
Due diligenceSpeed up diligence and compliance reviews with automated extraction.
BenchmarkingCompare across financial, energy, real estate or insurance datasets.
Delivery
Into the systems you use.
SQL databaseDirect integration
SnowflakeCloud data warehouse
CSVStandard export
JSONMachine-readable output
Send us a sample.
Share a few representative documents and we will return them as structured data you can query.