Coginov

Mission

Our mission is to provide public organizations and businesses with high added value solutions that extract intelligence from their information assets and thus helps them to make the best decisions according to their organizational practices.

Vision

Our vision is to become a global supplier of cutting-edge technologies for the management of all information assets of public and government organizations, as well as large commercial companies.

Elevator pitch

Coginov, with over 100 person-years of work in automated learning based on both “classic” approaches (LR, CRF, SVM, Bayesian, etc.) and contemporary approaches based on neural networks, while combining such models with a rigorous taxonomic and semantic methodology, allows many customers to optimize the TLN (NLP) processing of emails in an automated manner, including highly accurate autoresponses, provide sensitive data detection solutions in compliance with GDPR regulations, Bill 64, etc., and centralize everything in an intelligent document management system that takes into account the semantic scope, i.e. the real meaning and value of documents in a formal archival context.

Description

Coginov’s solutions allow you to capture, analyze, engage, automate and govern information assets with unrivalled precision and efficiency. Coginov offers a suite of 3 intelligent information management solutions, all based on our state-of-the-art semantic AI technology. We are able to detect, read, analyze, identify, list and classify any text-based information in an organization, wherever that information is located.

Why do business with us?

Coginov’s unique approach combines the most powerful machine learning models, both classic machine learning and deep learning, with a rigorous taxonomic and semantic methodology that takes advantage of Quebec’s particularly strong expertise in NLP, Library Science and semantic solutions development, allows many clients to optimize the processing of any unstructured textual data in an automated manner, including highly accurate autoresponses to emails, provide sensitive data detection solutions in compliance with GDPR, PL-64, etc., and centralize everything in an intelligent document management system that takes into account the semantic scope, i.e. the real meaning and value of documents in a formal archival context. Siemens, a major European customer, has succeeded in multiplying by a factor of at least 300x the processing time of emails for financial information requests, and generating quotes with a coherent auto-response, including the quote in PDF. Many government and para-government groups in Quebec have increased the efficiency of their resources by at least 30% in managing documents requiring the the application of formal archiving rules (formal archival reading), while ensuring that day-to-day work on these same documents is not disrupted in their usual collaboration and business application environments (SharePoint, Office 365 online, Power BI, etc.). Many companies have been able to identify potentially exposed sensitive data within days/weeks rather than months following cyber-attack incidents.