Private Equity Reporting Software: Build vs. Buy in 2025

The build vs. buy question in PE reporting software has shifted dramatically in the past two years. Enterprise platforms like Juniper Square and Allvue are proven but expensive. AI development tools have made custom solutions orders of magnitude cheaper and faster to build. And the gap between what LMM funds need and what enterprise vendors sell has never been wider.

This is a straightforward cost-benefit analysis with a decision framework at the end. No agenda — we work with firms that build and firms that buy.

The Cost of Buying

Enterprise fund reporting platforms come with three categories of cost: license, implementation, and ongoing.

Juniper Square: License fees range from $30,000 to $80,000 per year for funds in the $100M–$500M range, scaling with AUM and feature requirements. Implementation typically costs an additional $15,000–$30,000 and takes 8–16 weeks. Annual increases of 5–8% are standard. You'll also need to budget 10–20 hours per quarter for a team member to maintain the system and produce reports — the software automates assembly, not judgment.

Allvue Systems: License fees start at $80,000/year and can reach $300,000+ for comprehensive implementations. Implementation runs $30,000–$100,000 depending on complexity and takes 6–12 months. Allvue covers more ground than Juniper (fund accounting, portfolio management, CRM) but the additional scope comes with proportional complexity and cost. Most appropriate for funds above $500M AUM or multi-strategy firms where a single integrated platform justifies the investment.

Chronograph: Positioned between Juniper and Allvue in both price and scope. License fees range $25,000–$60,000/year with implementation at $10,000–$25,000. Particularly strong for portfolio monitoring and LP reporting at mid-market funds.

The Cost of Building

Building a custom reporting system in 2025 is dramatically cheaper than it was even two years ago, primarily because of AI. The components:

Data ingestion layer: Connecting to your fund admin system or portco accounting platforms via API. Development cost: $5,000–$15,000. Timeline: 2–4 weeks.

AI narrative engine: A Claude or GPT-4 pipeline with fund-specific prompts that generates LP report commentary, portco summaries, and market context from structured financial data. Development cost: $3,000–$10,000. Timeline: 1–2 weeks for initial build, ongoing prompt refinement.

Template and output layer: HTML-to-PDF rendering, branded report templates, chart generation. Development cost: $5,000–$15,000. Timeline: 2–3 weeks.

LP portal (optional): If you want LPs to access reports online rather than via email, a simple authenticated portal adds $10,000–$25,000 in development.

Total custom build cost: $15,000–$65,000 depending on scope, plus $500–$3,000/month in ongoing API and hosting costs.

The Hybrid Path

The approach gaining the most traction in 2025: buy a lightweight data platform, build the AI layer on top. Specifically:

• Use Visible ($500–$2,000/month) or Chronograph for portco data collection and basic portfolio monitoring
• Build an AI reporting layer that pulls data from Visible/Chronograph and generates LP-ready narratives and formatted reports
• Total cost: $15,000–$40,000 first year, $10,000–$30,000/year ongoing

This approach gives you reliable data collection infrastructure (where vendor tools genuinely add value) combined with custom AI reporting (where custom builds deliver higher quality at lower cost than enterprise tools).

Decision Framework

Factor	Favors Buy	Favors Build
Fund size	$500M+ AUM	Under $500M AUM
Team size	10+ investment professionals	Under 10 people
Reporting complexity	Multi-strategy, multi-currency	Single strategy, standard structure
Budget	$80K+/yr available for software	Under $40K/yr budget
Timeline	Can wait 6–12 months to deploy	Need results in 30–60 days
Customization needs	Standard output acceptable	Unique report format required
Technical capability	No technical team	Access to developer or AI builder
LP expectations	Institutional LPs expecting branded portal	HNW/FO LPs accepting email-delivered PDF

For the majority of LMM PE funds ($50M–$500M), the hybrid approach — lightweight vendor for data collection, custom AI for reporting — delivers the best balance of cost, quality, and time-to-value. The firms that deploy this approach typically have a production system running within 30–60 days at a fraction of enterprise platform costs.