Simuli to Leap Forward in the Trek to Artificial General Intelligence through 2027 Hyperdimensional AI Ecosystem

Simuli is an AI technology startup that aims to revolutionize computation and achieve true artificial general intelligence (AGI) through hyperdimensional AI. Set for full release in the summer of 2027, Simuli is reinventing the way data moves and lives through autonomous holographic compression technology that will make AI computation more efficient, intelligent, and scalable.  

Rachel St. Clair, PhD, CEO of Simuli co-founded the company on the principles she developed during her PhD in Complex Systems and Brain Sciences. A scientist to her core, Rachel wants to discover the fundamental truths of reality. Through her education on the intersection of neuroscience and AI, Rachel believes that the essence of true artificial general intelligence lies in modeling AI on human cognition. Specifically, by making AI more resource-efficient, the smarter it will become.  

This is true in three aspects that Simuli’s approach addresses: efficiency, sustainability, and scalability. First, making AI more cost-effective to implement by reducing its energy and memory usage will lower barriers to entry that have kept AI solely in the grasp of a handful of tech companies. This allows more individuals to contribute to the progression of AI wherever they may live or work. Second, by making AI more climate-friendly, more countries will be able to construct the necessary infrastructure like data centers for AI models to train on, amassing even more brilliant minds to work on the problem of AGI. Third, by making AI scalable, big data models are created for everyday processors and enable the necessary space to eventually become AGI. 

Simuli’s hyperdimensional software will unveil its three-phase launch over three years, beginning with its revolutionary Nebuli holographic compression earlier in July 2024. With lossless, encrypted, fixed-point compression, Nebuli works on any modern CPU and/or GPU to compute AI with less power, fewer training loops, and inherent security. It aims to reduce power usage threefold, increase throughput by up to 33 times, and decrease memory usage by up to 200 times compared to the best classical AI models available today. 

Then, in the Spring of 2026, Nebuli will be integrated across systems through their application programming interface (API) to directly compute data run through Nebuli without the need to decompress it. According to Simuli, compressed computing drives performance gains towards climate-friendly AI, estimating reduced power consumption by up to 99%. This phase will feature built-in anomaly detection and decision science models that increase usability through real-time analytics. 

Finally, in the Summer of 2027, Simuli is excited to launch the ReArc Autonomous System, their large step towards human understandable systems and true AGI. Modeled from the human brain, Simuli is developing a new cognitive foundation model for multi-modal AI. Their Compressed Data API software, Nebuli, and their AI engine, Supernovai, will enable a hyper-efficient AI with significantly more capacities for training and inference. 

The potential capabilities of Simuli’s launches are near infinite. Outside of their driving force towards accessible AGI, operations that require large amounts of cloud and on-premises storage like post-production studios can significantly relieve costs through Nebuli compression. Another notable use case is in making electrical vehicles smarter and safer by leveraging Simuli’s Nebuli compression for enhanced data management and autonomous driving capabilities. 

“We can only reach AGI if everybody has a say in this process, on a global scale. If it’s going to be able to solve humanity’s problems, or even do your household chores for you as personal robots, then we need to democratize AI in every aspect,” says Dr. St. Clair. As she reaffirms, “Simuli’s Supernovai AI API will achieve that by reducing costs, reducing energy needs, and making models truly scalable for widely applicable uses.”