- Growth StageExpanding market presence
Fano Labs careers
Fano Labs is an AI company headquartered in Hong Kong specialised in Speech Recognition and Natural Language Processing technologies. Focusing in a variety of languages, dialects and mixed languages, specially Cantonese and languages in Southeast Asia, our solutions help enterprises from various sectors with customer service, compliance and other lines of business.
With the advanced AI technologies, Fano Labs provides a smart Customer Service and Speech Analytics System, for customers from various sectors, where they can greatly enhance their management capability and service quality, by accurately identifying potential compliance risks while detecting and analysing the sentiment of the customers. Also, it will allow enterprises to reduce costs and uncover potential sales opportunities by providing managers with valuable business intelligence which will lead to revenue increases.
For more information about our solutions and organisation, please visit fano.ai
With the advanced AI technologies, Fano Labs provides a smart Customer Service and Speech Analytics System, for customers from various sectors, where they can greatly enhance their management capability and service quality, by accurately identifying potential compliance risks while detecting and analysing the sentiment of the customers. Also, it will allow enterprises to reduce costs and uncover potential sales opportunities by providing managers with valuable business intelligence which will lead to revenue increases.
For more information about our solutions and organisation, please visit fano.ai
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Victor O.K. Li
Victor O.K. Li is Chair Professor, Dept of Electrical & Electronic Engineering, Univ. of HK. Previously, he was Professor of Electrical Engineering at USC.
Miles H. F. Wen (温豪夫)
Founder Fano Labs • Worked at @NEC Laboratories Europe, @The University of Hong Kong • Studied at @The University of Hong Kong • Fulbright Scholar @UC Berkeley
Valuation
$0
Funded over
3 rounds
Latest round
Series A (Dec 2018)
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