Reuben AI

    LP Reporting Software for Private Capital Funds

    Automate quarterly limited partner reporting from live portfolio data. ILPA-aligned templates, AI-generated narratives, audit-grade provenance, and per-LP customisation.

    Quarterly LP reporting is the most predictable operational drag on a private capital fund. Two weeks of senior team time, every ninety days, spent reconciling spreadsheets and formatting decks. The work is necessary. The way most funds do it is not.

    Reuben AI is LP reporting software built to remove the drag without compromising the rigour LPs expect.

    What LP Reporting Software Should Do

    LP reporting software has three jobs. First, ingest portfolio and fund data continuously so quarterly reports do not require a quarterly data-collection sprint. Second, calculate performance metrics with consistent methodology and full audit trails. Third, generate institutional-grade outputs in formats that match each LP's expectations.

    Reuben AI does all three. The Founder Portal handles ingestion. The data layer handles calculation. The reporting engine generates output. The work compresses from two weeks to two days.

    Limited Partner Reporting Software for Institutional and Family Office LPs

    Different LPs expect different reports. Pension funds and endowments want ILPA-aligned templates with full performance attribution and audit-grade provenance. Family offices and HNW LPs want narrative-driven updates focused on portfolio progress and exits.

    Reuben AI supports per-LP report templates so the same underlying data can produce the right output for each segment. Distribution is tracked, version-controlled, and access-logged for compliance.

    AI for LP Reporting

    AI for LP reporting handles the assembly so the GP keeps the editorial voice. Portfolio company summaries, market commentary, and performance narratives are drafted from the structured data. The GP reviews, refines, and approves before the report goes out.

    Output is grounded in actual fund data, not generic templates. The AI cites its sources, flags low-confidence sections, and surfaces gaps so the GP can fill them before distribution.

    See LP Reporting in Action

    Walk through quarterly report generation end-to-end.

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