AI and IT technologies have opened immense opportunities for professionals to solve problems across various sectors. However, the traditional startup model is proving unsustainable.

Even in the digital age, 97% of startups fail within their first year—and AI startups are no exception. Since AI solutions are not exclusive to any single company, competition often leads to wasted resources and widespread failure.

Instead of following a fragmented approach, startups within a sector should collaborate, pooling their expertise and resources to address challenges collectively. By working together, AI-driven startups can create more impactful solutions, reduce inefficiencies, and achieve sustainable success in an increasingly competitive landscape.

1️⃣ Sector-Specific AI Requirements – A collective innovation team in each sector defines system requirements for AI-based solutions.

2️⃣ Open Participation & Investment – IT professionals, functional experts, and partners can contribute their expertise and invest in development.

3️⃣ Localized Collective Startups – A suitable collective startup company is established in the appropriate country to implement the solution.

4️⃣ AI Solution Development – A dedicated design and development team is selected to build and finalize the system.

5️⃣ Hosting & Support – The country’s GITPro Inc. hosts, maintains, and provides support services for sector-specific service providers.

6️⃣ Fair Revenue & Royalties – The collective startup team is compensated for development costs and receives ongoing royalties from each country’s implementation.

This model fosters collaborative AI-driven innovation, ensures cost-effective solutions, and guarantees shared success across industries and regions.