Whether it’s a simple project or one with multiple complexities, iTech is a data services company built around the ability to automate, capture and process data from multiple verticals. iTech teams apply OCR, RPA, or Machine Learning services to any project and meet any unique need.
- Indexing With Machine Learning
- Data Capture Automation
- Robotic Process Automation (RPA)
- Process Transparency
- Indexing With Machine Learning
- Data Capture Automation
- Robotic Process Automation (RPA)
- Process Transparency
Indexing With Machine Learning
iTech uses OCR paired machine learning, ML document mapping, or a combination of these processes to identify and classify images quickly. These images are automatically indexed using client indexing rules quickly and with greater accuracy than manual processes or OCR alone.
Indexing With Machine Learning
iTech uses OCR paired machine learning, ML document mapping, or a combination of these processes to identify and classify images quickly. These images are automatically indexed using client indexing rules quickly and with greater accuracy than manual processes or OCR alone.
Data Capture Automation
While manual processes may make sense for simple or one-time indexing projects or where reliable turnaround times are not a factor, iTech’s OCR paired machine learning technology eliminates the need for most manual intervention. Unlike OCR, where form structure is key to data capture, Machine Learning adds a layer of context to ensure accurate data capture no matter how unstructured the format. The results are always unmatched quality, fast turnaround times, and reduced operational and labor costs.
Data Capture Automation
While manual processes may make sense for simple or one-time indexing projects or where reliable turnaround times are not a factor, iTech’s OCR paired machine learning technology eliminates the need for most manual intervention. Unlike OCR, where form structure is key to data capture, Machine Learning adds a layer of context to ensure accurate data capture no matter how unstructured the format. The results are always unmatched quality, fast turnaround times, and reduced operational and labor costs.
Robotic Process Automation (RPA)
For more complex projects that require multiple lookups and reviews, iTech introduces Robotic Process Automation (RPA). RPA is used in conjunction with machine learning and replaces multiple manual processes. It performs these processes many times faster and eliminates human error and omissions.
Robotic Process Automation (RPA)
For more complex projects that require multiple lookups and reviews, iTech introduces Robotic Process Automation (RPA). RPA is used in conjunction with machine learning and replaces multiple manual processes. It performs these processes many times faster and eliminates human error and omissions.
Process Transparency
iTech’s iClarify tool always gives organizations full control and visibility into the indexing, data capture, and RPA processes. On-demand metrics and analytics surrounding quality and turnaround eliminates the “black box” approach, often associated with outsourcing, and instead provide absolute transparency. You will always know where your documents and data are.
Process Transparency
iTech’s iClarify tool always gives organizations full control and visibility into the indexing, data capture, and RPA processes. On-demand metrics and analytics surrounding quality and turnaround eliminates the “black box” approach, often associated with outsourcing, and instead provide absolute transparency. You will always know where your documents and data are.
Data Capture Solutions include freight payment & audit tasks, sales order entry, Invoice data capture, accounts payable processes, blueprint and engineer drawing indexing & OCR, vital records, oil & gas document classification & indexing, and more. If a document or image requires data capture, data entry, or indexing, iTech’s Machine Learning solutions can perform the job faster, with higher quality, and at a lower cost than outsourcing to a vendor that performs manual processes.
