Minimum effort to operationalize, in production workflows being used for more than 5 years. Realize ROI efficiently and quickly
Role based privileges ensure that your data is secure and only available to appropriate users for operation and data availability
Cloud-based elastic architecture for efficient scalability, optimizing your investment without compromising on quality
Control, flexibility and data improvements as part of process orchestration using AI and Rule Engines - AI for data improvements and Rule Engines for control and flexibility
Enrich Business Information by just providing the name of the Business.Try Now
Countries Supported - US and CA
Enrich Business Information by just providing a business URL.Try Now
Identifies and extracts all US addresses from the source URL. Address Line 1, Address Line 2, City, State, Zip, Fax, Phone attributes will be extracted.
Identifies and extracts all Portugal addresses from the source URL. Address Line 1, Address Line 2, City, State, Zip, Fax, Phone attributes will be extracted.
Person name and Title extraction from the executive page/s using NLP, IA and NER
"Mobius's automated invoicing solution (Worxtream) for a global info publisher was developed to extract vendor invoice data from predefined templates and imported into a Disclosure Management Tool for filing with the US Securities and Exchanges commission.
The tool extracted the vendor invoice data from predefined templates to capture aspects such as header, footer, line item details using OCR. This data was validated to match purchase order and goods receipt data. This validation was done by importing the aspects into an ERP, ML algorithm. This was all imported into the Disclosure Management Tool using eXtensible Business Reporting Language (XBRL) tagging capabilities."
An Entity Matching and Conversion (EMAC) bot was developed for an advertising agency that needed to track real time information of selected companies from various new sources. These new sources presented the information in an unstructured format and the EMAC bot would utilize the RSS feeds based on the company to meaningful annotation that would track the movement of company personnel or agencies which were then litmus tested by a manual process for accuracy.
Worxtream provided a nearly 95% automated and AI based solution for a credit rating agency to verify and enrich more than 3 million company information across different regions. The solution provided an efficient and accurate model to reduce processing time and a consistent methodology for every geography. Outputs were normalized and validated using specific scripts developed for this purpose to deliver 98% quality output. A total of more than 4 million records were processed across the various geos.
A leading info publisher wishes to validate various data points such as social media presence, payment gateway details, business hours for new URLs (URL discovery) for over 6.5 million companies across North America. Worxtream processed more than 24 million records with higher accuracy in under 5 months. Workflows were customized with enabled RPA features connecting IQ bots, ML and to achieve the required output.