There is no question that ScaleHub checks the innovation box with a bold marker. The use of crowd platforms to augment AI-based cognitive capture makes a great deal of sense; although AI certainly improves the speed of capture processing and accuracy rates, it has its limitations.
The company could disrupt the cognitive capture market by applying content analytics AI methods to classify and extract data, and its “librarian robot” approach could help organizations maximize their ROI from current and new RPA investments.
Cloudhub360 may be a classic case of the sum of the parts being greater than the whole. The combination of conversational AI and intelligent data processing is what makes the Cloudhub360 platform well-suited to any customer service process where document processing is involved.
Skilja has been flying under the radar for years as a trusted supplier of cognitive capture tools to other companies. The introduction of Tegra services that require only a single call opens the door for Skilja to sell to a much larger and wider market.
Parascript continues to develop new solutions with applied AI from its innovative R&D team. The team’s deep and rich knowledge in non-textual recognition, combined with more ML experience than many in the capture space, positions Parascript as a vendor to watch in cognitive capture.
