Amethyst Asia

We provide strategic advice to our clients from deal origination, structuring to execution

 

Bringing the right solutions and acquisition targets that complement and enhance our clients' businesses

Amethyst Asia

Over the years, we have built up a wide network of family offices, private equity and VC funds in Asia. The founders, with collective experience in strategic management and investment banking, started its advisory services in the private equity sector. Projects were sourced primarily from US and South East Asia. 

 

In addition to sourcing for investment targets, we also assist clients who require dedicated project management resources to manage the end to end digitalization of their business processes. These include digitalization of supply chain, payment gateways and frontend /backend operations using the latest cloud and blockchain technology.  

The firm has since moved into global sourcing, assisting its clients seeking regional expansion through joint-ventures, distribution networks and direct business acquisitions. Geographic focus is Asean and North Asia. 

Amethyst Asia works closely with family offices and investment funds (PE, VC) to identify high potential startups and private businesses to participate in growth stage investments rounds. 

Amethyst Asia is also mandated by several North Asia institutional clients to source for large scale infrastructure, renewable /clean energy, oil & gas projects in South East Asia and South Asia. Our affiliate, IBO-MIW Group based in Israel has deep knowledge of markets in the EMEA region and this has helped us tremendously in expanding our domain expertise beyond Asia. 

We use machine learning algorithms to identify and match target companies to our investors' requirements.

 

Our Methodology

We are a data-driven firm that uses AI and machine learning to identify early to growth stage investment opportunities for investors worldwide.

 

We are bulding a diversified portfolio of database that covers a wide range of startups and target investee companies across multiple industry segments. With supervised machine learning using quality training data, our algorithms enable us to map patterns of past successful and failure use cases and formulate our proprietary selection criteria to maximise the prabability of picking a winner.