Unique expertise
We are a Swiss-based authorised asset manager, impact by nature and tech-driven.
Our expertise is:
- Deal sourcing, investment analysis, and negotiation to generate impact and financial performance without compromise.
- Privileged idea generation and deal sourcing capacity.
- >20 year track record in successful impact investing, with strong background in private equity at institutional level.
- Access to global network of impact investors, academics, and nature-based experts.
- Fund & deal-by-deal investment strategies.
Our first fund investment strategy is the Regenerative Growth S.C.A. SICAV-RAIF – Fund I in partnership with Mirabaud Asset Management. For more information, please visit this page.
Our portfolio
A growing collective of impact driven companies making big change.
AgroSpheres develops an encapsulation technology for agricultural biologicals and active ingredients leveraging another mode of action, such as proteins and RNAi. It has the potential to reduce pesticide use and avoid the damage to biodiversity.
Micropep develops a solution based on micropeptides to modulate existing plant gene expression. Their complementary solutions are used with traditional chemical inputs and tackle agricultural challenges: crop resistance to chemicals, regulations and soil degradation.
CleanGreens develops an aeroponic system designed for greenhouses, for different species of leafy greens and herbs. An automated robot sprays directly a nutrient-mix solutions on roots, and enable to save large amount of water.
BettaF!sh makes seaweed-based fish alternatives, allowing consumers to save the ocean while enjoying their favourite foods. With BettaF!sh, coastal communities can continue their livelihoods with regenerative and sustainable seaweed cultivation instead of fishing.
Koa’s upcycling process reduces the on-farm waste associated with cocoa fruit production, generates additional income for farmers and brings new ingredients to the food and beverage industry.
Pachama is evolving the carbon credits marketplace to standardise verification and efficiently connect supply and demand. It trains machine-learning models using satellite imagery, radar and field plots to estimate the carbon stored in forests today and into the future.