Notes AI takes the generation of ideas to a new dimension with cross-modal data association, dynamic knowledge graphs and intelligent association algorithms. In a 2025 MIT Innovation Lab experiment, companies using AI-augmented creative tools produced 5.7 new ideas per person per day (compared to 1.2 for traditional brainstorming), and Notes AI users averaged a 38% idea adoption rate (the realization success rate of ideas as business results), 217% higher than the industry average (12%). For example, a consumer goods company used Notes AI’s “trend prediction” function (230 million social media data + patent database) to develop 87 new product concepts in 12 hours, five of which passed feasibility tests, reduced the research and development process by 64%, hit the market nine months before the competition, and generated an additional $120 million in revenue in the first year.
On the underlying technology level, Notes AI hybrid neural network (CNN+Transformer) can relate text, images, and structured data in real time and process 180,000 semantic relationships per second. An automotive design team used its “Inspiration Crash” feature to intelligently match aerodynamics sketches and historical race data (e.g., F1 wind tunnel test parameters), reduce design iteration from 3 weeks to 2 days, optimize the wind resistance coefficient of new designs to 0.21 (industry best is 0.24), and reduce production costs by 15%. Its knowledge graph covers 140 million interdisciplinary entity nodes (e.g., materials science patents + art history style), and the novelty of creative proposals (as measured by Consensual Assessment Technique) reaches 8.7/10, 42% higher than human proposals.
Multi-modal input support is the key to arousing inspiration, Notes AI handwritten sketch recognition (support 0.1mm accuracy pressure writing) and voice inspiration recording (mood wave detection error ±6.2%) function, help users break through the thought limit. One ad agency increased its acceptance rate of proposals from 23% to 68% and its client’s rate of budget increase by 55% through using real-time keyword extensions (e.g., “environmental protection” triggering 286 related terms and 12 visual symbols) during voice recording. According to the Nature sub-magazine statistics, the number of space use optimization designs with Notes AI was 9.3 in the 30-minute design task (only 3.1 in the control group), and the margin of error in the computation of the structural safety factor was reduced from ±8.3% to ±1.7%.
Collaborative AI enhances collective intelligence, and Notes AI’s real-time brain burst mode enables 50 people to contribute ideas simultaneously (with a 0.05-second lag), and it automatically clusters similar suggestions and identifies logical blind spots. A pharmaceutical R&D team used its combined experimental data (e.g., molecular formula parameters) and patient interview texts to find that the probability of new indications of existing drugs was increased by 32%, the secondary development cycle of a cancer drug was shortened by 41%, and the patent value assessment increased by $280 million. Its “reverse thinking” ability, founded on adversarial generative networks (GAN) to break the mindset, has helped an electronics company to move the innovation density (quantity of workable ideas an hour) of circuit board cooling solutions from 0.7 to 2.4 and reduce product failure rates by 19%.
Data analysis shows that the creative exhaustion time of Notes AI users is extended to 17.3 days (5.2 days for traditional methods), and cross-domain knowledge call frequency is increased by a factor of 6.5. A Nobel Prize-winning laboratory’s 1970s paper data finding applied to the latest quantum computing research results has led to three Science cover papers with DCI 9.4 (field average 3.1). McKinsey estimates that after companies implement Notes AI, the production of patents per million dollars of R&D investment increases from 1.7 to 4.3, and the ROI of innovation increases by 153%. As IDEO CEO Tim Brown put it, “AI is not a replacement for human creativity, but an augmentation of cognitive bandwidth to scales beyond the capability of the biological brain” – and Notes AI is redefining the limits of human innovation with 8 terabytes of heterogeneous data per second computing capacity.