AI Cognitive Strategy
An AI strategy development framework to help guide organizations succeed with AI
AI & Machine Learning Offerings
AI & Machine Learning Services
Predictive Modeling
Maximizing value from data assets with machine learning & predictive analytics
Data Science Training
Multi-level intensive training program for executives, managers and practitioners.
“We joined hands with Cognitro high-caliber team to build an AI-driven auditing tool that we currently use to better predict member fraud, waste ...
Daniel Whitehead
Director, Medical Strategy, National Health Insurance Company - Daman“What differentiates Cognitro Analytics from its competitors is the emphasis on knowledge transfer as a constituent part of their analytics projects execution”
Dr. Osama Elhassan
Head of e-Health Section, Dubai Health Authority“We found in Cognitro Analytics a credible analytics partner with whom we engaged to build Umniah Big Data & Advanced Analytics strategy”
Mr. Riyad Kurdi
Digital Transformation Director, Umniah TelecommunicationContact Details
Please find below contact details and contact us today!
- Phone: +1 844-COGNITRO (+1-844-264-6487)
- info@cognitro.com
- 350 Fifth Ave, 59th floor New York, NY 10118 USA - DTEC, Techno Hub 1-D, Dubai Silicon Oasis, Dubai
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Frequently Asked Questions
These are just some of the most common questions we get asked. For anything else, please contact us – we would be delighted to help..
Do you have a standard fee structure for typical engagement
Every engagement is based on thorough evaluation of client's analytics needs, technology infrastructure as well as future goals for scaling up.
What is the procedure to partner with your company?
Simply send us your company profile, current market positioning and a detailed proposed partnership model to info@cognitro.com and one of our senior managers will get in touch with you.
What makes you special from others?
We have been in the trenches of AI, machine learning and advanced analytics since 2005 and have come to understand and overcome technical and noon-technical challenges confronting data-driven initiatives and programs.