PlantingSpace is building a system that represents domain knowledge as modular probabilistic models, enabling users to connect these models into larger structures, enforcing consistency across them, and propagating uncertainty through each step. First applica…

We’re building a system that represents domain knowledge as modular probabilistic models — making analysis rigorous and transparent. Users can connect these models flexibly into larger structures. The system enforces consistency across them, and propagates un…

We’re building a system that represents domain knowledge as modular probabilistic models, making analysis rigorous and transparent. Users can connect these models flexibly into larger structures; the system enforces consistency across them and propagates unce…

We are building an AI system based on a fundamentally new approach that goes beyond LLMs, aimed at providing novel capabilities. These include performing multi-step analysis, providing a verifiable reasoning path, citing sources, and assessing uncertainty. We…

We are building an AI system that can accurately represent knowledge and handle uncertainty, to enable the discovery of insights and solve problems based on explainable reasoning. Our technology is not based on a GPT framework but on a novel approach to struc…

We are building an AI system that can accurately represent knowledge and handle uncertainty, to enable the discovery of insights and solve problems based on explainable reasoning. Our technology is not based on a GPT framework but on a novel approach to struc…