LPRP ingests your portfolio data, learns your voice from prior letters, and drafts an institutional-quality LP update — with full citation provenance and two approval gates before anything reaches a limited partner.
Every GP we talked to said the same thing. The existing software category has spent twenty years building dashboards that LPs don't use and GPs didn't ask for.
Finance copies numbers from spreadsheets into Word. One wrong cell reference means an LP receives bad data. Formatting inconsistencies across every letter. No audit trail for any of it.
Existing tools produce data tables and metric portals — not narratives. LPs receive charts they didn't ask for and miss the context, interpretation, and conviction that actually builds the GP-LP relationship.
Late reporting signals poor fund operations. In a market where LPs are scrutinizing managers more carefully than at any point since 2009, delayed communication damages trust at exactly the wrong moment.
Emerging managers carry the highest reporting burden and have the fewest resources to absorb it. Every hour spent on LP letters is an hour stolen from sourcing, portfolio work, and the next fundraise.
“Every GP we interviewed said the same thing: LP reporting is the worst part of the job. It's not a process problem — it's a tool gap. The process works fine. It's just done entirely by hand.”
// LPRP user research, Q4 2025, n=24 fund managersThe pipeline runs asynchronously in the background. You interact at the decision points — not the plumbing.
Upload portfolio updates, connect Airtable or Notion, forward founder emails, or sync your cap table exports. LPRP ingests heterogeneous inputs and builds a unified, provenance-tagged data layer for every company in your portfolio.
Airtable · Notion · Email parsing · Cap table exports · Fund modelClaude Haiku 3.5 parses each document into structured JSON, tagging every extracted value with its originating source, date, and confidence score. Nothing enters the reporting layer without a provenance chain.
Claude Haiku 3.5 · Schema validation · Confidence scoring · Source attributionClaude Sonnet 4 cross-references your portfolio data against your fund model and prior reporting. Variances above configured thresholds surface as alerts — with the specific numbers that triggered them. You review and clear before generation begins.
⬡ HARD STOP — Generation is blocked until you clear Gate 1Claude Opus 4 drafts the letter in your voice — calibrated from your prior accepted letters — in three sequential passes: narrative skeleton, full section drafting, then citation verification. Every quantitative claim is inline-cited to a source document. Every number is traceable.
Claude Opus 4 · 3-pass generation · GP voice calibration · Inline citationsReview the draft in a tracked-changes editor. Edit inline. Every quantitative claim shows its source on hover. Approve the final version and the platform sends to your LPs — addressed, formatted, and delivered. No one receives anything without your explicit sign-off.
⬡ HARD STOP — LP distribution requires explicit GP approvalThe features that matter are the ones that protect your LP relationships — not the ones that look impressive in a demo.
After two accepted letters, LPRP extracts a structured style brief from your writing — tone, sentence rhythm, citation format, hedge word frequency. Every draft after that reads like you wrote it, because the model knows how you write.
Every number in the letter traces to a source document — with the document name, extraction date, and confidence score. When your LP asks where a number came from, you can answer in 30 seconds, not 30 minutes of digging.
The system flags variances between portfolio company reports and your fund model before generation runs — not after. Specific numbers, specific thresholds. You dismiss or confirm each alert at Gate 1. Nothing sneaks through to the letter.
Nothing reaches your LPs without you explicitly approving it at Gate 2. The send button is disabled. There is no override. You're legally and reputationally responsible for every word in those letters — this is how the product treats that responsibility.
Before generation runs, you see which portfolio companies are missing required metrics, which have stale data (>90 days), and which cap table entries haven't been verified. Generation is blocked on incomplete data — not silently degraded.
Built for emerging managers who have 20 companies and no ops staff. Grows with you to multi-fund platforms managing 60+ portfolio companies across parallel vehicles. One platform, one data layer, one workflow.
We deliberately avoided pricing models that create adversarial incentives. You shouldn't pay more for communicating well with more LPs.
All plans include: full data provenance · two GP review gates · anomaly detection · LP email delivery · audit trail
We're onboarding a small cohort of emerging managers in Q2 2026. Join the waitlist and we'll reach out with onboarding details within 48 hours.
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