Recurrent & Constant-Memory Architectures
Sub-quadratic sequence modeling, state-space formulations, and constant-memory recurrence designed for low-latency inference and lifelong learning.
Pure Function is an AI research lab developing non-autoregressive neural architectures, real-time motor policy synthesis, and autonomous agent runtimes.
Sub-quadratic sequence modeling, state-space formulations, and constant-memory recurrence designed for low-latency inference and lifelong learning.
Real-time zero-copy state transport, high-frequency motor control loops, and neuromorphic biological circuit emulation for physical substrates.
Deterministic execution substrates, capability-bounded sandbox lattices, and continuous verification loops for verifiable autonomous task execution.
We work on a small number of long-horizon research tracks. General inquiries, research collaboration, and partnership requests can be sent to the address above.