Accrete was established in 2017 with the goal of eradicating organizational knowledge loss by compressing tacit human domain knowledge into knowledge engines. These engines enable AI agents to make superhuman predictions and decisions with unparalleled speed and precision, ultimately serving as a primer for artificial super intelligence.
The vision of ending knowledge loss is rooted in the understanding that high-frequency trading systems, developed by Prashant over a decade prior, relied on structured data and rules-based algorithms to identify mispriced securities. However, with the digital explosion, humans are struggling to process contradictory narratives, viral influence, and misinformation. Prashant hypothesized that leveraging AI to read, understand, reason, and learn more efficiently than human experts could unlock predictive alpha buried in unstructured data at scale. Breakthroughs in information compression were achieved with the advent of transformers in 2017. These deep learning neural networks enable AI models to compress information by creating context-dependent representations of input data. This technology has facilitated the development of knowledge engines that can process vast amounts of unstructured data, extracting valuable insights and patterns.
Accrete's knowledge engines utilize a universal semantic model to store and retrieve tacit human domain knowledge. This model enables AI agents to reason, predict, decide, and act autonomously, leveraging the compressed knowledge to make superhuman decisions. The engines also provide a foundation for artificial super intelligence, which they aim to further develop. The company's mission focuses on ending organizational knowledge loss by harnessing the potential of AI and knowledge compression.
By achieving this goal, Accrete envisions a future where AI agents can learn, reason, and act with unprecedented speed and precision, leading to significant breakthroughs in various fields. The development of knowledge engines and the pursuit of artificial super intelligence will likely have far-reaching impacts on industries and societies.
What's your view about the platform?