Investment Guidelines
Target Investment
Return: 20% p.a
Target Investment
Return: 20% p.a
Geography
Worldwide
Geography
Worldwide
Holding Period
3 Years
Holding Period
3 Years
Asset Class
Private & Pre IPO Companies
Asset Class
Private & Pre IPO Companies
Indicative Ticket
$5m – $10m
Indicative Ticket
$5m – $10m
Sectors
Fintech
AI Based Innovations
Biotech
Sectors
Fintech
AI Based Innovations
Biotech
Investment Style
Growth
Event Driven
Special Situations
Investment Style
Growth
Event Driven
Special Situations
Minimum contribution
$ 500,000
Minimum contribution
$ 500,000
Fintech
Solve critical financial challenges by reducing exclusion, lowering costs, and combating fraud in traditional banking systems.
AI powered innovation using machine learning and NLP to automate credit scoring, fraud detection, and personalized financial advice.
Lower operational costs & higher accuracy through intelligent automation and real time decisions.
Expanded financial access to credit, payments, and investments especially for underbanked communities.
Market expansion & growth by unlocking new customer segments and increasing overall market reach.
Smarter markets enabled by AI driven predictive analytics for optimized trading and improved forecasting.
AI Based Innovations
Accelerate R&D cycles by replacing slow, costly experimentation with AI driven design and simulation
Turn unstructured data into insight by scanning papers, patents, and technical documents with advanced NLP
Boost developer productivity through AI powered coding, testing, and analysis automation
Enable faster discovery with rapid hypothesis generation across scientific and engineering domains
Shorten time to market while reducing development risk and cost
Unlock new industries by enabling the creation of novel materials, products, and systems
Biotech
Address critical healthcare challenges by tackling rising medical costs, diagnostic delays, drug development bottlenecks, and workforce shortages.
Enhance diagnostics by using AI and computer vision as a “second reader” to improve imaging accuracy and enable earlier disease detection.
Faster drug discovery by applying AI driven analysis of genomic and molecular data.
Personalized patient care by optimizing therapies using patient specific data.
Scalable healthcare efficiency by improving survival rates and reducing clinician workload.