Siramai was founded by two passionate Machine Learning Engineers from the University of Illinois who shared a vision of revolutionizing eCommerce search through advanced AI technology, alongside a business major who successfully launched two apparel brands.
After years of research and development in natural language processing and computer vision, we identified a critical gap in the eCommerce industry: search systems that truly understand user intent and product context were virtually non-existent.
Our unique combination of technical expertise and real-world apparel industry experience gives us unparalleled insight into the challenges and opportunities in fashion eCommerce.
To transform product discovery by creating intelligent AI agents that understand context, user preferences, and industry-specific nuances, making search more intuitive and personalized than ever before.
We believe that the future of eCommerce search lies in understanding the unique characteristics of each industry vertical. Our solutions are built from the ground up to incorporate domain-specific knowledge, terminology, and relationships.
Our team combines academic excellence with practical industry experience to build solutions that are not just technically advanced but also deliver real business value for our clients.
By focusing on the clothing industry, we've developed specialized models that understand fabric properties, style nuances, seasonal trends, and fashion terminology in ways that generic search solutions simply cannot match.