AI that strengthens the advisor, rather than replacing one.
AdvisorFabric is building wealth intelligence software for banks, wealth managers and other financial institutions. The product is designed to reduce analysis and preparation work while keeping investment decisions under qualified human control.
The problem
Advisors spend significant time assembling portfolio context, interpreting risk and performance signals, preparing reviews, and turning analysis into client-ready communication. These workflows often span spreadsheets, PDFs, CRM records and internal policy.
The product thesis
AI is most useful when it connects those pieces without hiding the underlying logic. AdvisorFabric separates deterministic financial computation from model-based reasoning, then puts an approval step between generated output and the client.
What we are building
- Portfolio analysis and risk signals
- Client review preparation
- Advisor-facing reasoning and drafting
- Policy and compliance guardrails
- Audit-friendly human approval workflows
Stage
AdvisorFabric is pre-launch and currently focused on MVP development and validation of core advisor workflows. The product is not presented as a live investment advisory service.