Reuben AI

    Portfolio Monitoring System for Private Capital Funds

    A monitoring system, not another dashboard. Continuous KPI ingestion, breach alerting, and LP-ready reporting on one connected data layer.

    A portfolio monitoring system is the operational backbone that turns a portfolio of investments into a live, queryable, and reportable asset. Without one, fund teams burn senior time reconciling spreadsheets every quarter and discover risks ninety days late.

    Reuben AI provides the full system: ingestion, normalisation, analytics, alerting, and reporting, all under one data layer with full provenance.

    The Five Layers of a Modern Portfolio Monitoring System

    1. Ingestion Layer

    Founder Portal submissions, accounting integrations, bank feeds, CRM activity, and structured uploads. Every input is validated against the data model before it lands in the store.

    2. Normalisation Layer

    Different portfolio companies report on different cadences, in different currencies, with different chart-of-account structures. The normalisation layer reconciles all of this into a single, comparable model.

    3. Analytics Layer

    Fund-level metrics (IRR, TVPI, DPI, MOIC), portfolio-level metrics (concentration, exposure, vintage performance), and company-level KPIs (revenue, margin, runway, leverage) all computed from the same source of truth.

    4. Alerting Engine

    Threshold-based and trend-based alerts surface declining metrics, covenant breaches, runway risk, and concentration limits as they emerge, not at the next quarterly review.

    5. Reporting Engine

    LP-ready quarterly reports, GP dashboards, IC pre-reads, and ad-hoc exports all generated from the same data layer with full audit provenance.

    See the System in Action

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