SA

Investor profile

Safi Aziz

Angel, Operator angel

New York·United States6known investments

Safi Aziz is an angel investor and operator angel based in New York, United States. The known portfolio counts 6 companies: Notion, HqO, Bowery Valuation, Zeus Living, Radiator Labs and VergeSense.

Is Safi Aziz a fit for your startup?

Paste your website. AI checks the fit and scores every other investor too.

Investment focus

Contacts

LinkedIn profile on fileAvailable after registration.
Get contact

Safi Aziz portfolio companies (6)

  • Notion
  • HqO
  • Bowery Valuation
  • Zeus Living
  • Radiator Labs
  • VergeSense

Investor Profile

The listing covers sectors FinTech, Hardware, Real Estate and SaaS, and focus areas BuildingTech, Construction Tech, PropTech and Property Management. Startups operating in these areas may find Safi Aziz relevant.

The portfolio and focus above give founders context on whether Safi Aziz matches their raise.

Similar investors

Showing 19 of 97

Frequently asked questions

Who is Safi Aziz?

Safi Aziz is an angel investor and operator angel based in New York, United States with 6 known investments on file, among them Notion, HqO and Bowery Valuation. The sections above list the sectors attached to that record.

What does Safi Aziz invest in?

Listed sectors include FinTech, Hardware, Real Estate and SaaS; listed focus areas include BuildingTech, Construction Tech, PropTech and Property Management. Those tags come from the companies attached to this profile, so they read as a record of what has been backed rather than a stated preference for what comes next.

How do I contact Safi Aziz?

A LinkedIn page is on file for Safi Aziz. It is readable inside RaiseHunt after you create an account. The database holds no email address and no phone number for this profile.

Skip the browsing. Let AI find your ideal investors in one minute.

Paste your startup website and AI picks your best-fit investors out of 135,000+ profiles.

Data: RaiseHunt investor dataset · Snapshot 5 September 2026 · How this data is built · Report a correction or request removal