01 Drug Patent Data Mining
PatSight: Industry-leading drug patent mining platform
PatSight automatically extracts structures, activity, and other key data from dozens of patents within 1 hour, enabling intelligent SAR analysis. The new conversational AI assistant SAR InSight fully automates structure-activity relationship analysis and accelerates drug discovery.
>95%
Recognition Accuracy
1 hour
Patent Data Processing
10x
Research Efficiency Boost
02
Core Features
From patent literature to R&D insight: One workflow, connecting multiple AI capabilities
High-accuracy structure recognition
Automatically recognize patent example numbers, molecular structures, and compound names, with comprehensive accuracy above 95%.
Automatic activity data matching
Extract bioactivity data matched to the same compound, with recognition accuracy above 97%.
Conversational AI for automated SAR
SAR InSight helps complete data cleaning, scaffold recognition, fragment mining, and report generation in about 10 minutes.
Automatic synthetic route extraction
Extract reaction equations, reconstruct complete routes, and trace back to the original source in one click. Export to Excel / JSON.
Multilingual Patent Support
Recognize and analyze patents in Chinese, English, Japanese, and Korean, reducing cross-language search and cleanup cost.
Batch submission and automation
PatSight CLI supports batch patent PDF submission, task status queries, and export to CSV / Excel / SDF / JSON.
03
Applications
From data to practice: Turn patent information into R&D assets
- Extract reusable R&D data from patent text, tables, and images: Automatically recognize example numbers, molecular structures, compound names, and bioactivity data to build a searchable, exportable patent molecule dataset.
- Let conversational AI complete SAR analysis: Import data extracted by PatSight to finish data cleaning, scaffold recognition, fragment mining, and report generation, compressing days of work into about 10 minutes.
- Gain deeper molecular insight from structure and activity data: Analyze SAR, high-frequency fragments, molecular properties, and ADMET predictions to support later molecule design and candidate decisions.
- Auto-extract reaction equations and reconstruct complete routes: Identify reaction steps in patents, support source tracing and Excel / JSON export, and extend to batch automation with PatSight CLI.
04
Product Ecosystem
PatSight AI Toolbox: Help more chemistry work start faster
A growing set of lightweight AI tools to speed up everyday chemistry work. Recognize molecular structures from images, or extract IUPAC names and structures from patents and documents, helping R&D teams spend less time on repetitive cleanup.
MolVision OCSR
Recognize molecular structures from images
IUPACExtract
Extract names and structures
05
Case Studies
Discover real-world applications and expert insights
across patent intelligence, molecular data extraction, and drug discovery.
06
Testimonials
"This product has assisted us in conducting a large amount of patent analysis, which has been very helpful in our project's Go/No-Go decision-making process."
Dr. WangProject Manager
"The recognition rate of molecules by PatSight is very high, with good accuracy, and it facilitates manual inspection and verification. It has greatly saved me time in patent analysis."
Dr. LiMedicinal Chemist
"Overall, the system shows high recognition capabilities and is very convenient for manual review."
Dr. PengIP Expert
"PatSight's products are easy to use. The fast and accurate acquisition of Patent data can provide massive data for our data analysis and AI model construction."
Dr. JiangData Scientist
Make efficient drug patent data analysis within reach
Discover data from patents, and insight from data.