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Extraction and Portfolio Reconciliation for Investment and Statements

Investment operations depend on accurate data from statements, reports, and account-level records. Scry AI helps firms extract, standardize, and reconcile investment and portfolio statement data so it can move into reporting, analytics, and compliance workflows with consistency.

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Investment Analytics Software Built for Real-Time Investment Intelligence

The Truth Behind Investment Data Management

Investment data rarely arrives in one clean, consistent format. Firms managing private equity, public securities, and other portfolio assets often receive statements, reports, and supporting documents from multiple accounts and sources, each with its own structure, layout, and level of detail.

Scaling investment workflows demand more than data extraction. Teams also need data that can be standardized, reused, and trusted across reporting, analytics, compliance, and reconciliation of workflows. Without a consistent process, downstream systems inherit mismatched formats, incomplete fields, and avoidable delays.

How Investment Data Processing Still Works Today

Many investment operations still rely on document-led workflows that require manual effort at each stage, from intake and extraction to template mapping and reporting. This creates delays, weakens consistency, and makes portfolio reconciliation harder to scale across entities, accounts, and formats.

1
Multi-source document intake
Statements and investment records arrive from multiple accounts, custodians, and document sources.
2
Manual data extraction
Teams identify and pull financial and transactional data by hand from varied statements and reports.
3
Internal template mapping
Extracted values are manually aligned to internal formats before they can be reused downstream.
4
Format-by-format standardization
Teams spend time normalizing data across layouts, structures, and reporting conventions.
5
System handoffs for reporting
Processed data is pushed into reporting, analytics, and compliance workflows through added manual effort.
6
Scaling pressure across portfolios
The workflow becomes harder to maintain as document volume, asset variety, and account coverage increase.

How Scry AI Supports Portfolio Reconciliation

Built on Collatio®, Scry AI’s extraction and reconciliation of investment and portfolio statements help automate the extraction, structuring, and standardization of financial data across document-heavy workflows. It helps around financial statement extraction, standardized outputs, validation, and reconciliation support for downstream reporting and analysis.

  • Automated data extraction

    Extraction of key financial and transactional data from varied investment statements and reports.

  • Template-led standardization

    Alignment of extracted data with predefined templates for cleaner and more consistent downstream use.

  • Multi-source statement handling

    Processing of investment data across multiple accounts, formats, and document types.

  • Downstream system integration

    Delivery of structured data into reporting, analytics, and operational systems with less manual rework.

  • Scalable portfolio processing

    Support for growing statement volumes and broader portfolio coverage without matching growth in manual effort.

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Turn Investment Statements into Reconciled Data

Move your portfolio workflows toward faster and more reliable data readiness.

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Frequently Asked Questions

The questions below address what investment and operations teams often want to know before adopting a portfolio reconciliation solution.

1. What does portfolio reconciliation mean in this solution?

It refers to the process of extracting, structuring, and standardizing portfolio and investment statement data so it can be used more consistently across reporting, analytics, compliance, and reconciliation workflows.

Scry AI supports portfolio reconciliation through the Collatio®-based workflow that automates data extraction, template alignment, standardization, and downstream data readiness across investment statements and related documents.

The solution is suited to investment statements, portfolio reports, financial records, and related documents received across multiple accounts, sources, and formats.

Scry AI is suited to financial services, banking, capital markets, asset and wealth management, private equity, hedge funds, insurance, pensions, real estate, infrastructure, energy, and corporate finance. It supports portfolio management, financial close, reconciliations, audits, and reporting workflows.

Yes. Scry is built to handle investment and portfolio statements received across multiple accounts, sources, and formats. It helps teams extract, align, and prepare data more consistently for downstream workflows.