Empowers organizations to accelerate custom model and workflow deployment and scale unstructured data automation throughout the enterprise
Indico Data unveiled Indico 5, a major release of its AI-powered Unstructured Data Platform. Indico 5 addresses the rapidly growing market demand for software solutions that drive efficiency and accelerate automation and intelligent document processing (IDP) initiatives using unstructured data.
The Indico Unstructured Data Platform utilizes a unique and patented approach. Through a combination of a proprietary training data corpus, composite AI technology, and machine teaching application interface, Indico drives an extremely high AI success rate, with more than 90% of projects in production with Indico versus an industry average of 20% without. The release of Indico 5 takes the platform a quantum leap forward, allowing enterprises to go further, faster, empowering lines of business with greater efficiency and reduced costs, and enabling the centers of excellence (COE) to easily scale automation swiftly across the enterprise.
“Indico 5 is another major advance in our strategy of putting game-changing AI solutions for unstructured data in the hands of business users. The real promise of automation in Indico 5 is using AI to augment human expertise, not replace it. The rapid evolution of workforce environments, where remote and hybrid working have shifted employee experience expectations, is also forcing businesses to rethink investments that improve accessibility and use of enterprise data, to increase productivity. We’re delivering that exceptional value to our customers,” said Tom Wilde, CEO, Indico Data.
Indico 5 is purpose-built to streamline some of the toughest unstructured data automation problems in IDP, such as document unbundling of PDFs, and ensuring the human training corrections of models made in the review cycle can be automated in future situations. The addition of linked relationship labeling, and a new, more intuitive visual interface empowers organizations to easily automate, analyze, and apply unstructured data, illuminating opportunities, improving efficiency, and reducing risk.
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