Structured information is key for business related processes.
Manually extracting the right data from documents is repetitive, tedious and thus prone to error.
BLP Digital automatically extracts relevant information, speeds up decision making and reduces costs.
This makes you more efficient, saves you time and money. Get rid of repetitive white collar work.
Combination of deep learning image recognition and natural language processing algorithms derived from ETH research.
Faster data extraction. Better extraction accuracies. Instant decision power. Highly optimized average document processing time.
No rule or template setups. Solutions for cloud and on-premise. Integration into existing systems. Instant results.
Challenge: Accounting departments receive a high-volume of invoices through different channels. Once received, employees have to manually extract relevant data from them or setup and regularly adapt templates.
Solution: Using artificial intelligence to automatically extract relevant data at human accuracy level. Workflows to check and correct uncertainties.
Challenge: Customer service operators receive a high number of emails with repetitive questions. The challenge is that every email is phrased differently why automation is difficult.
Solution: With natural language processing we extract the meaning of emails and automatically answer to double check the understood with the client.
Challenge: Employees collect many receipts on business trips. The administration is tedious and prone to error.
Solution: A mobile solution lets employees administrate their receipts on the spot using Artificial Intelligence to extract the relevant information. Manually administrated receipts can be fast audited with automatic Artificial Intelligence cross checks.
Challenge: Human resource employees only have very limited time to review the CV of applicants. They spend more time on screening for the relevant data than on decision making.
Solution: Using Artificial Intelligence to extract the relevant data into a structured format shifts the employee task towards informed decision making.
Challenge: Universities and other institutions need to check the transcripts of their applicants for compliance with their admission regulations.
Solution: Understanding the table structure of transcripts using Artificial Intelligence and then automatically comparing the content with the university’s admission regulations.
Challenge: More popular rental properties receive a high number of applications within a very short time period in various formats. The operators need to browse them to select appropriate candidates.
Solution: Using Artificial Intelligence to sort out non-qualified candidates and provide operators with structured information.
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