In healthcare, the deployment of Notes AI’s electronic medical record system at Johns Hopkins Hospital reduced doctors’ time to create progress notes from an average of 18 minutes per copy to 4 minutes, reduced the ICD-11 diagnostic code matching error rate from 7.2% to 0.3% through the NLP enabled intelligent coding module, and reduced the Medicare denial rate by 42% year-over-year. $3.8 million in administrative savings each year. The doctor order verification in real time by the system improves the response time of drug interaction alarm to 0.9 seconds, 23 times faster than the traditional system, and the relative achievements were announced as the benchmark case of medical informatization in 2023 by the British Medical Journal. In the legal industry, Baker & McKenzie used the Notes AI contract resolution engine to scale M&A agreement review efficiency to 1,500 pages of legal documents per hour, reduce the risk of undetected significant clauses from 4.1% to 0.17% of manual processing, and effectively reduce the 100-page due diligence report production cycle from 68 hours to 8 hours. The error rate is maintained within the 0.2% confidence level.
In the manufacturing scene, Ningde Times Liyang Factory uses the industrial data analysis platform of Notes AI to process 820,000 sensor data streams per minute (covering 23 parameters such as pressure, temperature, and vibration frequency), so that the defect detection speed of the battery electrode can reach 15 frames per second image processing capacity, and the yield can be increased by 2.7 percentage points. The annual loss in quality reduces by 120 million yuan. Technologically in education, after the Coursera platform integrated Notes AI’s intelligent note-taking system, the efficiency of students’ knowledge association graph construction was enhanced by 79%. The personalized review model realized by eye movement tracking algorithm (sampling frequency 120Hz) improved the slope of long-term memory retention curve by 2.4 times, and the relevant technology patents valued over 560 million US dollars. Following the adoption of the decision tracking module of Notes AI by the supply chain department of retail giant Carrefour, the cross-departmental collaboration efficiency increased by 63%, the accuracy rate of the demand forecasting model exceeded 93.8%, the inventory turnover days were optimized from 29 days to 19 days, and the working capital was released by 630 million yuan.
According to IDC’s 2024 Smart Office White Paper, the automation rate of Notes AI users’ workflow is 4.1 times the industry average, and its key technology architecture includes: 1) 32 billion parameter multimodal large model, supporting 16 types of file format intelligent parsing; 2) Distributed computing engine with a processing capacity of 4.3TB unstructured data per second; 3) Semantic network integrating 85 industry knowledge maps. In the case of Amazon AWS, Notes AI’s work order processing system achieved 98% automatic classification accuracy, reduced customer service response time from 7 minutes and 45 seconds to 1 minute and 12 seconds, increased customer satisfaction (CSAT) by 25 percentage points, and saved more than $12 million in annual labor spend. Bloomberg quantitative study shows that hedge funds using Notes AI financial conference analysis module accelerate the position opening speed after important events by 1.8 minutes, and improve the annualized excess return by 2.1-2.9 percentage points. The emotion model F1 score to identify the tone of management reaches 0.94, 39% higher than traditional text analysis. These facts confirm that Notes AI is redefining the productivity standard of 21st century workflows by refactoring the whole chain of “data capture – intelligent parsing – decision execution” and will achieve 61.8% penetration (CAGR 54.3%) in the global enterprise software market by 2026.