Capital Advisory AI
AI-powered investor-outreach and capital-raising service for real estate GPs, syndicators, and funds that builds an ideal-investor profile, drafts outreach, and runs multi-channel campaigns to source accredited investors.
Best for: Best for real estate GPs and syndicators who want a done-for-you AI investor-acquisition service rather than self-serve software.
Last reviewed 6/2/26
- Property types
- Multifamily, Commercial
- Geography served
- United States
How Capital Advisory AI uses AI[1][2]
RaiseAI ingests a fund's materials, builds an ideal-investor profile, drafts and optimizes outreach, and runs multi-channel campaigns to source and qualify accredited investors. It also mines a manager's existing database to surface dormant contacts. Done-for-you service with humans in the loop, not self-serve software.
- • Ingests fund and company materials to generate an ideal-investor profile automatically
- • Drafts and optimizes initial outreach messaging before launch
- • Runs multi-channel investor-acquisition campaigns and qualifies leads
- • Mines a manager's existing database to surface investors not contacted in 1+ year
AI type: LLM, Generative AI, Predictive Analytics (investor matching), Marketing/Workflow Automation
API: unknown MCP: no
Key numbers[1]
- • Company-reported: 100+ deals and funds funded through the platform
- • $1.2M in investor commitments identified from existing databases (investors not contacted in 1+ year)
- • 40% faster round closure vs. projected timeline
- • 30+ hours per week saved on manual outreach
Credibility[3][4][5][6]
- Founders
- Kevin Bull (co-founder, background in advertising and alternative-investment business development; University of Oregon); William Hollis (Chief AI Officer, sources equity and debt for CRE)
- Customers
- Real estate GPs, syndicators, and fund managers (specific names not publicly disclosed)
- Investors
- Bootstrapped; operated by InvesTechs PR LLC. No outside funding disclosed.
Founded
2015
Headquarters
San Juan, Puerto Rico
Stage
Bootstrapped
Employees
11-50
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