Oracle7 reads the world's machines, buildings and living places, says only what it can source, and runs on almost nothing. We are raising to put its sensors in the field.
Real sessions on prometheus7.com/demo. The diagram beside each answer lights the path it took.
Sessions are shown at 2.25× speed with narration added. Nothing else is changed: every answer is the live reply at the moment of recording.
Every reply on these cards is a real reply from the release. Every number comes from a published result file.















Oracle7 is an AI that answers from records and exact calculation, or declines. It has no neural network: a router sends each question to one of 267 small specialists, and every answer carries a receipt naming the record it read and the path it took. It runs on a CPU, with no GPU.
To put Oracle7's sensors in the field: a tree, a stream and a machine, each with its sensors examined, its readings signed, and its answers backed by receipts. Tranche 1 proves it in the field, tranche 2 certifies and produces (UKCA and CE), tranche 3 grows installs and partnerships.
The sensors are sold and the intelligence is held in common. Revenue comes from sensor kits, installs and pilots, service contracts for monitoring, calibration and custom specialists, and certification of third-party sensors against the open exam.
Infrastructure (AIOps, about $11.2 bn in 2025), industry and buildings (predictive maintenance, about $14.2 bn in 2025) and environmental monitoring (about $16.1 bn in 2025). Each figure names its research firm on the deck; estimates differ by scope.
97.8% precision on sealed test 19: 150 questions written before the build and run once. In its first hour on our four servers the infrastructure agent found a service that had restarted 144,690 times. In simulation it caught 101 of 108 held-out deep-space faults against 36 for safe-mode logic. Three of six sealed release tests failed before three passed, and every failure is published.
Yes. The live demo at prometheus7.com/demo answers questions and lights the path each answer took. The full release is on Hugging Face, published 14 October 2026.
The moat is time: years of signed, exam-verified readings from a particular place cannot be bought. It also runs where language models cannot, on a solar node or the processor already in a machine.
Email prometheus7dev@gmail.com. The data room holds the sealed tests, every run and the specialist ledger, and is available to investors on request.