The idea came from my experience as the CEO of Quasar Labs, the first AI lab in the Middle East. Running an AI lab in a region with limited infrastructure highlighted how challenging it was to generate datasets for fine-tuning and post-training AI models.
Access to up-to-date, tailored datasets was a constant struggle, not just for us but for many researchers globally, especially in regions lacking large-scale data centers. That’s when I realized the need for a tool like SI Copilot—a platform that collects and generates real-time synthetic datasets to keep AI models relevant and effective.
It’s not just a technical solution; it’s a way to level the playing field, empowering labs and businesses everywhere to compete in the AI space, regardless of their resources.
Our key differentiator is the ability to generate fresh, tailored data in real time. Many competitors, like Glaive AI, rely on existing models to produce datasets, which means they don’t create genuinely new types of data. SI Copilot, on the other hand, uses generative AI to craft datasets specific to the needs of each AI model.
For example, we continuously monitor news and trends to integrate the latest information into datasets, ensuring models are always up-to-date. This approach is particularly valuable for applications that require dynamic, real-world data, like chatbots or recommendation systems.
Our first $10,000 came from my father, Gomaa Salah. Although he’s not a tech person, he believed in my vision and was willing to invest in what I was building. His support wasn’t just financial—it gave me the confidence to keep pushing forward.
Today, we’re gaining traction with big corporations and moving closer to our goals. My dad’s belief in me has been a driving force, and it’s a reminder of how important personal support can be for any founder.
As a 17-year-old, I’ve faced skepticism from some people who doubted my ability to lead an AI project at this scale. I love to say that ai is simply about giving birth to a new form of life.
My vision has always been to go beyond AI and strive for Synthetic Intelligence a creation that thinks, learns, and grows in ways similar to humans, but with its own unique capabilities. That dream is what drives me every day and reminds me why I started this journey.
One of the biggest lessons I’ve learned is to build your audience before you build your product. Generating excitement and anticipation—whether through waitlists or community outreach—creates momentum that can drive your success.
Another hard truth I’ve learned is to avoid sharing your product with non-tech friends. Their feedback can sometimes be misaligned with your vision and even discourage you. Instead, focus on the right audience who understands and values what you’re building.
Yes, we launched SI Copilot with very private access, collaborating with real AI researchers. Our focus has been on empowering independent professionals and streamlining fine-tuning processes.
And, funnily enough, we are our first customers! Using SI Copilot, we trained Quasar-1.5-Pro, a 32-billion-parameter model. This project not only validated the platform’s capabilities but also showcased how SI Copilot can handle large-scale, high-quality dataset generation for AI development.
The current focus is on generating high-quality synthetic datasets, but the long-term vision is much bigger. We want SI Copilot to evolve into a platform capable of training intelligent agents—AI systems that can think, adapt, and perform complex tasks autonomously.
These agents could revolutionize industries like healthcare, education, and robotics, creating ripple effects of innovation. Ultimately, we aim to turn SI Copilot into a comprehensive AI trainer, democratizing access to advanced tools and ensuring that AI development is accessible and scalable for everyone.
We are already in the final stages of closing our investment round and are excited about the progress we've made. While SI Copilot remains a significant innovation, our vision extends beyond synthetic data generation. This funding will also support the training of our first AI model, Quasar-1, which represents a groundbreaking step in our mission to push the boundaries of AI capabilities.
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