Addepar

Family offices running complex, multi-entity portfolios across liquid and illiquid assets often hit a wall with legacy reporting tools: data arrives late, lives in separate systems, and requires significant manual reconciliation before it can be used. Addepar addresses this by centralising aggregation, performance calculation, and reporting in a single platform built to handle the specific structural complexity that characterises ultra-high-net-worth wealth, including multi-currency positions, complex ownership structures, private funds, trusts, partnerships, and held-away assets.

For single and multi-family offices, the platform covers the core workflow from data ingestion to client-facing output. Key capabilities include:

• Automated alternatives document collection, AI-driven data extraction, and validation by a dedicated data operations team
• Drag-and-drop report builder with real-time data, custom branding, and multigenerational reporting templates
• Scenario modeling across liquid and illiquid allocations against multiple capital market assumptions
• A client portal with mobile access for family members, advisors, lawyers, and accountants
• An AI assistant called Addison that answers portfolio questions contextually from within the platform
• Fee calculation, billing summary, and granular fee detail tools

Addepar reports approximately $9 trillion in assets managed on the platform across more than 1,400 firms and 100,000 users, with clients including Morgan Stanley, AB Bernstein, and numerous single and multi-family offices. Pricing is not publicly disclosed, which makes early-stage budget planning difficult. The platform is built primarily around advisory and reporting workflows rather than accounting or general ledger functions, so family offices that need deep bookkeeping or entity-level accounting may require a separate system. Teams comfortable with a technology-first, configuration-heavy platform will extract the most value; those expecting a fully managed service without internal capacity may face a steeper adoption curve.