Automated Financial and Legal Documents Analysis for Investment Managers

Financial Ops Automation

Financial Ops Automation is an AI-based enterprise application software that is capable of automating the digitization, comprehensive analysis, and information extraction from a large array of financial and legal documents in various formats like scanned paper, PDF machine readable, XBRL/XML, JSON, Word, PPT, Excel and CSV.

Use Cases

  • Reconcile weekly, monthly, and yearly NAV estimates

  • Reconcile fee calculation and calculation of fee waterfall

  • Verify and reconcile price calculations

  • Reconcile contract notes and trade confirmations

  • Reconcile treasury transactions

  • Reconcile investor fee and liquidity terms

  • Reconcile rate of return emails

  • Reconcile trade and cash positions

  • Automated online reporting

  • Reconcile balance sheets, income statements, cash-flow statements, changes in equity

  • OTC confirmation and reconciliation

Collatio Serves


AI-based Financial Ops Automation to for Efficient Decision Making

Financial Ops Automation by Scry Analytics delivers tremendous gains in productivity and cost reduction, while guaranteeing unprecedented levels of accuracy at scale. It is powered by extensive automation that is implemented at each stage of process.

More Detail

Collatio has been built using
the following technologies

  • Bayesian

  • Reinforcement

  • Generic rule-
    based machine

  • Heuristic

  • Reverse

  • Data mining

  • Big data

  • Big data

Key Differentiators &
Business Benefits

  • User Interface and APIs

    Pre-built graphical user interface (GUI) & APIs for quick deployment & integration with clients’ existing workflow

  • Knowledge Graphs

    30+ probabilistic spatial and temporal graph algorithms to determine links and connected entities.

  • Accuracy

    90%+ accuracy achieved with pre-trained algorithms and domain ontology

  • Time and Cost

    Up to 85% reduction in time and cost with automated extraction and reconciliation of attributes.