Sultan Ventures

Sultan Ventures is a venture capital firm based in Honolulu, Hawaii, founded in 2010. The firm focuses on early-stage financing and aims to foster innovation and develop the startup ecosystem. Sultan Ventures targets a diverse range of sectors for investment, including healthcare, biotechnology, crowdfunding, entertainment, information technology, aviation, energy, food, and beverage. Through its strategic investments, the firm seeks to support emerging companies and contribute to the growth of various industries.

Tarik Sultan

Co-Founder and Managing Partner

Omar Sultan

Co-Founder and Managing Partner

Aya Sultan Ph.D

Co-Founder and Partner

2 past transactions

Acasia Group

Acquisition in 2024
Cairo Angels is an angel investment network established in 2012 and headquartered in Cairo, Egypt. The organization focuses on investing in early-stage startups primarily located in Egypt and the broader MENA region, with particular interest in sectors such as technology, logistics, renewable energy, and agri-business. Cairo Angels organizes regular investment meetings where members can review pre-selected startups that align with their investment criteria. While each angel investor makes independent decisions regarding their investments, the network facilitates due diligence, negotiates terms, and assists in closing deals for interested opportunities. Investments typically range from 250,000 to 2 million Egyptian Pounds per company, with members investing their personal funds in exchange for minority equity stakes. Additionally, Cairo Angels offers portfolio management services to its investors after the investment process is complete. Members can participate in meetings either virtually or in person in Cairo or London.

HealthTechApps

Seed Round in 2017
Founded in 2012, HealthTechApps specializes in developing neurotechnology platforms that empower individuals to track their health stories. Initially focusing on traumatic brain injuries, the company uses proprietary technology pairing short videos with AI and machine learning to capture concussion symptoms and triggers over time, enabling physicians to make informed decisions.
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