Singapore, 28 May 2020 – During a Southeast Asia Connect webinar today, our CEO and Founder, Dr Sinuhe Arroyo, shared his journey about setting up TAIGER, one of the fastest growing AI companies
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TAIGER was selected to share our #MakeHomesGreatAgain initiative during GovTech’s COVID-19 Idea Sprint demo day last Saturday, which saw the attendance of Dr Vivian Balakrishnan, Minister for Foreign Affairs, and Dr Janil Puthucheary, Senior Minister
Singapore, 13 May 2020 – Bahrain FinTech Bay and TAIGER co-hosted a webinar to demystify Robotic Automation Process by discussing the capabilities and limitations of it. Joined by 81 participants, namely executives from the banking and finance
I would like to express my heartfelt concern for every single one of you, my colleagues, partners and clients, out there amidst this difficult situation we are all in. It was in early
TAIGER has launched an AI-driven chatbot, ‘Ask Phoebe’, as part of a movement called #makehomesgreatagain to help people make better use of their time while at home with their families. The chatbot offers
The global COVID-19 pandemic has gripped the world by fear and forced many individuals and businesses worldwide to rethink what their new normal is. But one thing’s for sure: healthcare systems are cracking
TAIGER is pleased to have forged a partnership with Blue Prism, by joining its Digital Exchange (DX) Platform, an intelligent automation “app store” and online community. TAIGER’s extract software, which can read documents
Imagine getting help that’s infinitely patient and that lets you learn at your own pace, adapting to the ways you learn best. Imagine methods that use data gathered along the way to constantly
TAIGER is the first recipient outside of the United States and the first in Singapore to secure a venture investment from the UChicago Startup Investment Program. The company’s AI solutions use human-like logic to
When rule-based automation arrived a few years ago, it came with a huge amount of hype. Robotic process automation (RPA) and its machine learning (ML) methods were going to revolutionise the way workers accomplished repetitive tasks, freeing
