In the case of idea generation, Notes AI utilizes natural language processing (NLP) and knowledge graph technology to enhance team brainstorming creativity output to 2.8 times that of traditional methods. For example, when a tech company used Notes AI, the average ideation rate per meeting increased from 12 to 34, the rate of solutions increased from 18% to 47%, and the start-up cycle for projects decreased by 40%. According to experimental findings of the Massachusetts Institute of Technology (MIT) in 2023, Notes AI’s “association-association algorithm” can provide corresponding ideas in real time based on previous data (10 million industry cases), enhancing creative diversity by 65%, and the cross-domain inspiration trigger probability of 39%, much higher than the artificial brain burst of 9%.
From the perspective of collaboration effectiveness, Notes AI allows 50 users to edit online mind maps together at the same time, lag of real-time feedback is less than 0.3 seconds, and the version conflict ratio is merely 0.7%. To take an example, one AD department used the “smart whiteboard” functionality from Notes AI and reduced cross-department brainstorming time to 1.5 hours from 4 hours, boosted the speed of decision-making by 62%, and jumped over the annual rate of creative proposal approval from 28% to 73%. The AI-powered “semantic clustering” functionality would do away with automatically 90% of scattered ideas, reduce man-hours in manual sorting by 85%, and generate visual reports with just a 1.2% error rate. On average, organizations which employ Notes AI have an 280% ROI on innovation projects, 134% more compared to organizations with no AI application.
At the level of integrating knowledge, Notes AI enhances information retrieval effectiveness by 75% for Brain storm conferences by mapping internal documents (e.g., market reports, user feedback) with external knowledge sources (e.g., patent libraries, scientific papers). For example, when a biopharmaceutical company used Notes AI, accurate data citations during interdisciplinary meetings increased from 32% to 89%, the incidence of R&D direction changes decreased by 55%, and the new drug development cycle was reduced from 5 years to 3.2 years. Its “trend forecasting module” is based on time series analysis (industry data for 10 years), which has a 82% accuracy rate in predicting technical tuyeres in advance, helping a new energy company increase the success rate of its products to market by 41%.
Based on market statistics, Notes AI users conduct on average 12.3 brain-storm meetings monthly, up by 173% from the conventional method (4.5), and cost per meeting dropped by 58% (120 to 50 per individual). For example, one ed-tech company cut the time spent on task assignment after a meeting from 3 days to 4 hours with the help of the “automatic summary” capability in Notes AI, and the project landing speed increased by 70%. According to IDC, Notes AI will have 27% market share in the creative management tool market by 2026, with its major strengths lying in real-time multimodal interaction (mixed text, voice, sketch input support) and dynamic prioritization (94% accurate). These numbers validate the three-dimensional value of Notes AI in promoting team creativity, reducing collaboration cost, and accelerating innovation delivery.