Falak Investment has just announced the launch of a new version of its "Flagship" business accelerator program, which is designed to support startups. This comes after the program successfully helped over 30 startups since its inception, contributing to building an investment portfolio valued at more than SAR 1.5 billion. This time, the program introduces a new model specifically targeting Core AI companies. It combines direct investment with easier market access and provides tailored growth engines designed to meet each company's unique needs, ultimately boosting expansion opportunities and accelerating growth.
The Flagship Business Accelerator
Falak Investment's "Flagship" program has successfully graduated four consecutive cohorts since it began. It has played a crucial role in supporting the growth of early-stage tech startups across the Middle East and North Africa region. This year, the program is launching a specialized AI track in partnership with the National Program for Information Technology Development. The program is looking for companies where Artificial Intelligence is at the very heart of their products and business models. This is especially true for sectors like construction technology, supply chains, retail, real estate technology, service robotics, and Industry 4.0. The program also offers direct funding of up to SAR 375,000 per company. On top of that, it provides a package of benefits and technical and commercial support valued at over $1 million. It also helps companies enter the Saudi market, build strategic partnerships, and turn pilot projects into long-term commercial contracts.How to Apply
Falak Investment confirmed that applications are now open for the new cohort of the "Flagship" program. This is for qualified companies that rely on Artificial Intelligence as a core component of their products and services, with the goal of supporting their growth and accelerating their market expansion. You can apply through the following link: Falak Investment's "Flagship" Business Accelerator Program.Tags
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