Our goal is to be the industry leader regarding data accuracy. This will unlock additional details about the person’s profile you are viewing including contact details they may not have included on their profile. Simply click the widget and it will pull information directly from our database. Automating things like adding the entire enriched contact into your CRM with one click is one of the best things to happen in B2B sales.ĭemandScience has developed a Chrome extension that connects to Klarity when you are browsing profiles on LinkedIn. When prospecting on a site such as LinkedIn, the fewer steps the better. As of the beginning of 2023, we have over 88,000,000 contact records in our system from over 1.5 million companies worldwide. Klarity by DemandScience: Target audiences for B2B outreach using an easy-to use prospecting platform that contains accurate prospect data and compliant information. Klarity® - Save time with One-Click Prospecting™. PrecisionOCR is also the only self-service capable health OCR tool, allowing teams to easily test the technology for their task workflows. We partner directly with PrecisionOCR customers to build and maintain custom OCR report extractors, which intelligently look for the most critical health data points in your health documents to cut through the noise that comes with pages of health information. Our health OCR technology can be accessed directly in a simple web-UI or the tooling can be used via integrations with API and CLI support on our open healthcare platform. These records integrate seamlessly with EMR data using the HL7s FHIR standards to make the data searchable and centralized alongside other patient health information. Our OCR tooling leverages machine learning (ML) and natural language processing (NLP) to power semi-automatic and automated transformations of source material, such as pdfs and images, into structured data records. PrecisionOCR is an easy-to-use, secure and HIPAA-compliant cloud-based optical character recognition (OCR) platform that organizations and providers can user to extract medical meaning from unstructured health care documents.
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