DYNPHI is a physics-first AI company. We encode deterministic physical equations directly into our models — replacing statistical guessing with causally-grounded inference, so physics hallucination never happens in the first place.
DYNPHI stands for Dynamic × Physics. Most LLMs predict by statistical association — and when it comes to physical laws, they confidently fabricate: physics hallucination. We fix this at the source by encoding first principles like Newtonian mechanics directly into the model architecture, forcing inference to run under deterministic physical constraints rather than guessing across a data distribution.
When every prediction is constrained by explicit physical equations, the output becomes traceable, verifiable, even invertible. In robotics control, structural stress, motion planning and other precision-critical domains, an AI's decision is no longer a 'most probable guess' but a path certified by the laws of physics.
Our long-term vision is a 'computable common sense of physics' — AI with a coherent causal intuition from micro to macro, from Newtonian mechanics to fluid dynamics. On that basis, we open three capabilities to the engineering and research community: Code Analysis, a Physics AI core, and a self-developed Agent platform.
Three product lines, one mission — grounding intelligence in physics.
Architecture breakdown, algorithm analysis and static/dynamic code analysis of open-source robotics projects such as ROS, producing structured technical deep-dives so the engineering and research community can quickly understand complex robotics codebases.
Learn moreFirst principles such as Newtonian mechanics encoded directly into the model, replacing statistical guessing with deterministic physical equations to eliminate physics hallucination at the source.
Learn moreDYNPHI's proprietary AI Agent platform, with reserved API endpoints ready to plug into a dynamic backend and build autonomous agents for the physical world.
Learn moreA lean, modern stack built for a fast, static, developer-friendly site.
This site is a fork of the AstroPaper template. Fork it, star it, or explore the source — the physics is best served open.
View on GitHubDYNPHI is a physics-first AI company — the union of Dynamic and Physics — with a mission to encode deterministic physical laws into AI's 'intuition'. We believe true intelligence is not an accumulation of probabilities but a product of causation and law.
We champion openness and first principles: code open-sourced to the community, methods shared with peers, and questions always approached from physics itself.