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DareWin Evolution

DareWin Evolution offers an AI‑driven platform that accelerates microalgae strain improvement through digital twins and automated Darwinian selection in high‑throughput reactors. The service delivers higher‑growth, stress‑tolerant isolates with enhanced biochemical profiles, provided under exploitation rights on a success‑fee basis for industrial producers.

Villefranche-sur-Mer, FranceFounded 20245700+ followers
Updated 3 months ago

Funding

$200K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

BI
Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Microalgae producers often rely on wild strains that exhibit suboptimal growth rates, productivity, and tolerance to environmental stresses, limiting yield and profitability. Traditional strain improvement methods can be slow, costly, and carry high biological risk.

Solution

DareWin Evolution applies an AI‑driven, dynamic Darwinian selection platform to accelerate the improvement of microalgae strains. The system creates digital twins of candidate strains, runs automated selection cycles in specialized reactors, and uses machine‑learning algorithms to identify variants with higher growth, productivity, abiotic stress tolerance, and desired biochemical profiles. Successful improvements are cryopreserved and made available under exploitation rights from a library of over 7,000 wild microorganisms. The service is offered on a success‑fee basis, aligning costs with realized performance gains, which average more than 120 % increase in key metrics after a few months of selection.

Target Audience

Primary customers are industrial producers of microalgae for human food, animal feed, nutraceuticals, cosmetics, and bioremediation who require higher‑performing strains for large‑scale manufacturing.

Features

  • AI‑based selection algorithms that iteratively evolve strains toward target traits
  • Automated selection reactors controlled by dedicated software for high‑throughput experimentation
  • Digital twin modeling of strain physiology to predict performance and guide selection
  • Access to exploitation rights for over 7,000 wild microalgae strains and a private collection of improved isolates
  • Cryopreservation of selected strains to ensure long‑term stability and scalability
  • Tailored improvement workflow covering need definition, strain characterization, selection, and scale‑up readiness
This profile is AI-generated and may contain inaccuracies.