Amino Collective

Combines diagnostics, clinical expertise, and causal AI to help consumers understand their health and guide behavioral change.

Hypothesis-free approach for drug discovery targeting deadliest cancers using genetic computational systems and polymathic AI.

AI-driven data management and productivity platform to run predictable clinical trials and identify therapeutic benefits early.

Delivers end-to-end clinical trials through full-service platform integrating study design, recruitment, management, and data.

AI assistant enabling clinicians to focus on patient care instead of administrative tasks.

Transforms drug discovery with predictive validity at scale.

Provides governed foundation for enterprise AI where agents, teams, and systems share context and coordinate work.

AI for personalized medicine and drug development through image-based quantification of single-cell phenotypes.

Fundrbird provides software solutions for GP (general partner) firms to build and scale their fund management operations.

Enterprise SoftwareFintechSaaS

Co-investorsCuriosity VCEndeit CapitalHolland CapitalMundi VenturesPride Capital PartnersRevent+4 more

Unlocks gene therapy potential through novel DNA modality enabling safe, effective, and flexible in vivo correction of genetic diseases.

Enables precision medicine through platform for easy genomic data orchestration and workflow creation.

Single API integrating 500+ devices including wearables and at-home kits to consolidate health data in hours instead of months.

Platform enabling healthcare providers to make better treatment decisions through compliant, easy, and affordable liquid biopsy tests.

Lir develops AI models to design and optimize adeno-associated viral (AAV) vectors for gene therapies, using its nAAVigator platform and an integrated lab-in-the-loop that pairs high-throughput assays with AI.

AI & Machine LearningBiotechDeep Tech

Co-investorsFly Ventures

Integrates machine learning, metabolomics, and robotics with anthropological, biological, and chemical data from medicinal plants.

Develops life-saving cancer treatments with mRNA designed by combining latest research with synthetic biology and machine learning.

Fundamental new way of analyzing proteins through nanopore sensing for biomedicine, healthcare, and industrial applications.

Drug discovery engine using precision fermentation to find and scale new-to-nature medicines for pain, addiction, and depression.

Solves protein design for biologists using prediction algorithms and AI design suggestions for optimized thermostability and activity.

Rematiq builds an AI-driven platform for product and regulatory compliance in life sciences, connecting requirements, regulations, evidence and submissions in one system and automating traceability, compliance checks and document generation.

AI & Machine LearningHealthtechSaaS

David Boutellier-Saxer(Founder)in

Co-investorsProject A Ventures

Unlocks RNA therapeutics by moving mRNA manufacturing to living cells for 10x better, scalable, cost-effective production.

Uses AI model of patient biology to predict clinical trial success, fast-tracking cleared drugs to market in 2-3 years.

New York, US

Michael Retchin(Executive Officer, Director)

Connects patients, researchers, entrepreneurs, and funders through world's first IP-NFT marketplace for fast collaboration and knowledge-sharing.

Agentic AI system that automates scientific research and development workflows.

Builds robotic labs that physically test AI drug-design models, closing the gap between computational candidates and validated compounds.

Redefines gene expression for drug development through foundational redesign of synthetic DNA instructions powered by AI.

Next-generation care enabled through online consultation with productivity tools and system-wide integration for faster patient care.

Closes the loop in the textile industry by turning blended textile waste into virgin-grade raw materials using enzymatic processes.

Maps druggable transcriptome to create discovery platform powering first-in-class small molecule programs for undruggable proteins.

Revolutionizes drug development through first multi-modal virtual patient models.

Extends healthy life-expectancy for women through digital therapeutics for menopause combining data, clinical practice, and behavior.