AI has started doing real science — folding proteins, proving theorems, discovering new mathematics, forecasting the planet. The hard part is no longer making the breakthrough. It is noticing it in time to act. NoizeOff exists to close that gap.
In two years, AI went from drafting essays to producing results at the frontier of biology, mathematics, and physics. Not assistance — results, verifiable and peer-reviewed.
Predicts the 3D structure of proteins and the molecules they bind — a 50-year grand challenge in biology, largely closed.
Read the paper →Solves olympiad-level geometry problems at near gold-medal standard, with proofs a human can read and check.
Read the paper →Discovered new, verifiable results in open mathematics — genuinely new knowledge, not retrieval.
Read the paper →Forecasts global weather as accurately as the leading physics-based system, in a tiny fraction of the time.
Read the paper →Ten-day global forecasts in under a minute, beating the gold-standard numerical model on the large majority of targets.
Read the paper →Runs the whole research loop — idea, experiment, write-up — end to end, on its own.
Read the paper →When a machine can run the experiment, the scarce resource moves. It is no longer the next idea — it is knowing which of the thousands of new results actually changes what you can build.
Thousands of papers land on arXiv every day. No team, no lab, no human keeps up. The work that matters to you gets published — then sits unread for months while someone else moves first.
A swarm of agents reads, understands, and digests effectively all of arXiv daily, ranks every result against what you are building, and clocks how fast each front is moving with a time-series model. The output is not a feed. It is a short list of moves: build this now, a rival could use this, watch this.
The gap between a discovery being published and the world acting on it is pure waste. We are here to delete it.
Your first brief takes thirty seconds. No signup, no card.