Reality Server

Centralized database of high quality molecular data

Beyond state-of-the-art molecular data correction

Deep Learning + GPU Accelerated Computing

Novel topologies and vectorization techniques that exploit element-wise vector emergence, property prediction and energy levels

Deep Learning vector search enables us to make smart transforms through high dimensional molecular space, multinomial, custom objective functions means the optimizers compute novel reaction pathways without combinatorial explosions while excluding blacklisted fragments and energy traps

Simulation workers that are equipped with GPUs will execute up to 5000 times faster with our GPU implementations of common tasks including the Schrödinger equations