Better data drives
better decision-making

Assure empowers your firm with quality data to drive decision-making. Using a careful blend of AI tools and our experienced accounting gurus, here are the steps we take to curate a book of record GPs can trust.

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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.

Key product features

Assure empowers GPs with a transparent data validation process, so they can continuously improve the quality of source data from underlying systems and service providers.

In-platform data flags

Data anomalies are automatically flagged within the platform to those who can resolve them.

In-platform data flags

Data anomalies are automatically flagged within the platform to those who can resolve them.

Validation dashboard

See data quality trends over time, split by data source so you can continuously improve your fund and portfolio data.

Validation dashboard

See data quality trends over time, split by data source so you can continuously improve your fund and portfolio data.

In-platform reconciliation

Take action with data anomalies with Lantern's built-in messaging tools, so data can quickly be rectified.

In-platform reconciliation

Take action with data anomalies with Lantern's built-in messaging tools, so data can quickly be rectified.