Better data drives
better decision making

Trust your fund and portfolio data with robust data validation.

  • Source data validated against audited reports
  • Creating a single, trusted data for firm-wide decision-making
  • Removes the need for shadow bookkeeping

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    1. Extract

    We extract structured data directly from source (e.g. accounting platforms and data collection tools) in addition to unstructured data, such as financial statements and quarterly reports.

    2. Transform

    Data is then transformed into Lantern's proprietary data model. It's connected, cleansed, restructured and enriched with various calculations.

    3. Compare

    Comparisons are then made - using a blend of AI and our accounting gurus - to ensure the structured data matches audited financial statements and quarterly accounts.

    4. Reconcile

    Any discrepancies between the structured and unstructured data are then reconciled, creating a single, trusted book of record that feeds into Lantern's platform.

    We're no longer reliant on internal spreadsheets - we've improved the quality of data in underlying systems and our entire firm is using the same, trusted dataset.

    CFO, Mid-Market GP