ASTER VC
Aster VC is a venture capital fund focusing on the most innovative global solutions in a deep tech field with the main areas of investment in new gadgets, robotics, energy, quantum, advanced and smart materials. With a strong network among VCs and professional investorsin MENA region we create and realise effective strategies of expansion and growth for our portfolio startups from Seed round to IPO
ABOUT
- Original alloys with application scenarios
- Shape memory materials
- Energy absorbers and storage materials
- Dynamic aggregate state material
- New materials with unusual properties
- Energy storage
- Microenergy
- Autonomous systems
- Alternative energy sources
- New types of energy production
- New movers
- Soft robots
- Original niche solutions
- Microrobots
- Highly autonomous robotic systems
- Biological and chemical robotic agents
- Exoskeletons and elements of exoskeletons
- Artificial muscles
- Cyborgization
- New materials with increased physical characteristics
- New materials for original application scenarios
- Sophisticated materials with multifunctionality
- Original polymers
- Eco-materials
- Bionic materials
- Original solutions in the field of individual mobility
- Autonomous
- Transport systems
- Avionics solutions
- River transport solutions
- Transport security systems
Any unusual gadgets, devices and objects with interesting functionality
Advanced Materials
Transport
Smart Materials
Alternative Energy
Robotics
Gadgets
Target industries
Investment strategy
Over the last 10 years, Aster Venture Capital's team has gained deep knowledge about the evolution of major global technology trends and built a network in MENA region. Importantly, by leveraging its network, the Fund is able to compare and contrast the variability in adopting these trends across target markets. As a result, the Fund's team has deep insight and vast experience in formulating new investment ideas
Selecting the Right Sector
The Fund's existing emerging and developed markets network platform allows to screen 50-100 potential portfolio companies every month. The goal is to hand pick the best companies to approach early and follow their progress
Selecting the Right Company
One of the challenging parts of the Fund's investment strategy is keeping up-to-date with valuation multiples across different sectors and geographies. The team analyses valuation and deal multiples across different sectors and geographies. The Fund can use this data to create a pricing map across countries and technology sectors. This tool will also be valuable when exiting investments or raising subsequent rounds of financing.
Technology Transfer
Stage and sector focus
Aster Venture Capital will pursue investments into technology-focused companies across all stages of business development life cycle: from the highly opportunistic (seed), early stage businesses to more developed, but high-growth, businesses (series A) across all target sub-sectors on the 3rd close. Co-investment with other venture funds is one of the Fund's priorities
Team
Elena
Aster
Aster
Mohammed Ahmed Hassanein Khalil
Ilya
Paraushkin
Paraushkin
Partner
Technology research and analysis
Partner
- 10+ years experience in startups, tech and venture capital investments
- Work with private investors and funds in MENA region
- Master degree in applied Physics and Mathematics in Science at MIPT, Faculty of Aerospace Research
- Since 2010, have been actively involved in entrepreneurial activities (made exit in 2015 from the largest marketplace in CIS countries, totally raised more than $80mln);
- Since 2017 – investment and fundraising activities in the field of high technologies (AI, VR/AR, Robotics, Deep tech, IOT etc). Building venture portfolios for family offices and high-net-worth individuals worldwide
- Top Women in Tech from Europe in 2021 (IBT)
Mohammed is a highly skilled computer hardware and embedded engineer with 13 years of experience in designing, prototyping, and mass-producing electronics and related hardware across various industries. His experience spans diverse sectors, including oil and gas, solar energy, medicine, and others, encompassing AI-driven hardware, robotics, logging tools, and security systems.
His strong educational background and experience enable him to navigate the entire product development lifecycle, from the initial proof-of-concept stage to full-scale production. With a comprehensive understanding of computer engineering and its practical applications, he has proven to be a valuable contributor in delivering cutting-edge solutions across multiple domains.
His strong educational background and experience enable him to navigate the entire product development lifecycle, from the initial proof-of-concept stage to full-scale production. With a comprehensive understanding of computer engineering and its practical applications, he has proven to be a valuable contributor in delivering cutting-edge solutions across multiple domains.
Serial entrepreneur and investor in Biotech and Deeptech startups in Biotechnology and Deep Tech Ecosystems.
Ilya is a co-founder and head of Biovolf, the company that develops efficient technologies for plant protein production and CO2 recycling.
By providing scientific and business expertise, he assists in the growth and development of high-tech companies, aiming to influence the development of the technological revolution.
As a TRIZ (Theory of Inventive Problem Solving) expert, he solves complex issues related to the implementation and evaluation of new technologies in business processes using a creative problem-solving approach.
Ilya is a co-founder and head of Biovolf, the company that develops efficient technologies for plant protein production and CO2 recycling.
By providing scientific and business expertise, he assists in the growth and development of high-tech companies, aiming to influence the development of the technological revolution.
As a TRIZ (Theory of Inventive Problem Solving) expert, he solves complex issues related to the implementation and evaluation of new technologies in business processes using a creative problem-solving approach.
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