Real Estate Industry Initiative

Automated Indicative Valuation Machine

Calibration In Excess of 1.2 Million Property Types

About Amicus

Amicus Predictive Analytics (APA) use 27 years of Historical Data, Vast Data Lakes, DeepDive Data, DOTS (Data Omnichannel Technology Solutions) and Machine Learning Methodology to forecast and calibrate the only Automated Indicative Valuation Machine (AIVM)

Amicus focuses on creating algorithms that can learn from the given data and make decisions based on patterns observed in data. These smart systems will require human intervention when the decision made is incorrect or undesirable.


Taking into Valuation Computation the median PSF based on Street, Land size, Shape, BCA and Planning Decision data


Regression based machine learning, Factoring Location, Level, Built-in Area and Historical Recent Transaction


Microsoft Machine Learning based on Location, Level, Built-in Area, Flat Type, Flat Model,Lease Year, Historical Recent Transaction and HDB Resale Price Index


Based on median PSF and Built-in Area

Contact Us


William Lai


- LLB (Hons)
- Certified Business Analyst by University of Cambridge Judge Business School
- Certified PDDS (Practical Decision Making Using Data Science) by NUS Business School
- President - PropTech Association Singapore
- Member - ACAMS (Association of Certified Anti-Money Laundering Specialists)
- Consultant - WLAW LLC
- CEO - Amicus Pte Ltd

Office Hotline



625 Lor 4 Toa Payoh #05-01