Most AI initiatives in private equity fail because they bolt intelligence onto broken processes and disconnected data.
The Alphient approach is different. With Prime (pro-code) and Prime (low-code), we start with three pillars:
Structured Knowledge
- Fund-level IRR, DPI, TVPI, and vintage year benchmarks
- Fund Performance Ledger
- Vintage Benchmark Hub
Automated Process Packs
- Automated fund performance reporting with LP-ready outputs
- Performance Reporting Pipeline
Intelligent AI Agents
- Performance Benchmark Agent
- IRR Forecaster
- LP Reporting Bot
The business questions this unlocks:
- Fund Performance
- Operating Efficiency
- Deal Throughput
- Deal Speed
- AI Across Lifecycle
AI agents for fund performance, operating efficiency, deal throughput, and LP reporting.
Knowledge. Process. Agents. That is the transformation formula.