80% of all business data is structured data in the form of tables and databases. Regulatory constraints like HIPAA, CCPA & GDPR make it difficult and costly to run AI, analytics, and software development workflows on structured data. With the synthetic data market projected to grow from $600M in 2025 to $4.9B by 2032 at a 35% CAGR, there is an urgent need for scalable, efficient, and privacy-compliant solutions.
RNA technology thus has the potential to revolutionize medicine with life-saving and even curative treatments for previously unmet clinical needs, including cancers, autoimmune disorders, and neurodegenerative diseases. The primary bottleneck in the translation of the 1300+ early-stage RNA programs in existence has been the biological delivery system, not the RNA drug payload itself, due to toxicity, immunogenicity, and the inability to target specific cells, tissues, and organs, leading to off-target effects.
The rapid growth of AI, data science, and GPU-based workloads has resulted in a "data explosion," creating a widening gap between well-resourced organizations and the majority who lack GPU expertise. This disparity is particularly pronounced in the $16.5 billion simulation software market and the $600 billion cloud computing market, where prohibitive costs and limited expertise often hinder impactful R&D.
Globally, 387 million children aged 6-11 struggle with reading and math proficiency. The foundation for these skills starts in early childhood. A high quality early learning classroom is essential to overcoming these struggles. Yet, a quality classroom is something you know when you see, but it is often hard to measure or replicate. Most early childhood educators don’t receive feedback on the quality of their classroom or guidance on how to improve.
