Pepper — private credit investment platform Pepper
Abstract Reporting Analytics Background
Reporting and Analytics platform icon Reporting & analytics · Private credit & alternatives

Reporting and Analytics Built on
Live Portfolio Data

Private credit and alternative asset reporting software that generates
investor reports, regulatory filings, and performance analytics directly
from live portfolio data — not from quarterly exports assembled in
spreadsheets. Every number your LPs see traces back to the same
source record your investment team monitors.

Reporting and analytics dashboard

Every Report Traces Back to One Source of Data

Track every investment across four
dimensions. simultaneously.

Pepper tracks all investments across Investment, Fund, Portfolio, and Asset levels — with seamless drill-down into any position and roll-up using any hierarchy. No manual aggregation.

Tracking investments across different dimensions
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The export step is where errors enter and dates expire.

Every platform that requires data to be exported before it can be reported creates a gap — between what the system knows and what your LP receives. When that data changes, the export doesn't. Pepper's reports draw from the live record. When the data changes, the report reflects it.

What Pepper's Reporting and Analytics Module Covers

Every report type. Every
analytics view. One data source.

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Pipeline reporting

Real-time visibility into deal flow by stage, strategy, vintage, and manager — so your investment committee sees the same pipeline your deal team is working from.

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Performance metrics

IRR, MOIC, DPI, TVPI, and RVPI calculated from live position data across your full portfolio — by fund, vintage, strategy, manager, or custom grouping. No separate calculation model.

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Position reporting

Single-fund and multi-fund position views, with roll-up across fund structures, vehicles, and strategies — all drawing from the same underlying asset library.

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Exposure analytics

Counterparty concentration, asset type allocation, position size distribution, currency exposure, and sector heat maps — generated from live data, not a monthly extract.

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Configurable analytics and custom reports

Build the analytics views and report templates your investment team and LPs actually need — without professional services engagements or long development queues.

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Regulatory compliance reporting

Generate regulatory filings and compliance reports directly from portfolio data — with full audit trail, version history, and sign-off workflow built in.

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Fund restriction and concentration monitoring

Track investment restriction compliance and concentration limits continuously against each fund's governing documents not just at quarter-end.

Reporting and Analytics Module Dashboard
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Pepper AI

AI That writes the report,catches the error, answers the question.

Pepper AI operates on the same structured portfolio data that powers every report — making its outputs verifiable and grounded in the same source your LPs receive.

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Embark on a captivating journey through our story-driven videos.

View fund intelligence guide
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LP Report narrative generation

First-draft LP report narratives assembled from structured portfolio data each quarter. Your team reviews, edits, and approves. Quarter-end reporting goes out faster — and the narrative is grounded in the data your platform holds, not reconstructed from memory and exports.

Time saved: Days off the quarter-end reporting cycle

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Anomaly detection in reporting data

Pepper AI flags statistical anomalies in reported figures before they reach investors — catches input errors, outlier valuations, and inconsistencies between current and prior period data automatically.

Use case: QA sweep before LP distribution catches what manual review misses

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Natural language query

Ask your portfolio data questions in plain English. 'Which credits have FCCR below 1.2x as of last quarter?' returns a filtered table in seconds — no analyst intermediary, no report request queue.

Time saved: Instant data retrieval vs hours of analyst lookup

Valuation accuracy starts with the data, not the model.

See how private credit managers use Pepper to calculate NAV from the
same data that governs each credit agreement — not reconstructed
from it.

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