Novel AI architectures
We explore new model structures that are efficient by design rather than optimized after the fact.
Physics-inspired AI systems
Dynamical Mind develops novel AI architectures that run efficiently on our own custom-designed chips. By designing the models and silicon together, we are pursuing orders-of-magnitude improvements in both speed and energy efficiency.
Mission
We believe the future of AI will not come from incremental optimization. It will come from inventing new architectures and new hardware together, unlocking orders-of-magnitude gains in performance and efficiency.
Approach
We do not design models for someone else's chips, and we do not design chips for someone else's models. We develop both together so the architecture, data movement, and hardware constraints are aligned from the start. That is how we aim to achieve breakthrough gains rather than marginal ones.
We explore new model structures that are efficient by design rather than optimized after the fact.
We design hardware around the computational patterns that matter, so efficiency is built into the system itself.
Our approach is grounded in physical reality, from energy and movement to the constraints that shape real performance.
Team
Dynamical Mind is a startup built by people who understand both sides of the system. That combination lets us pursue an ambitious goal: rethinking how intelligent machines should be designed from the model architecture all the way down to the chip.