We help our clients optimize algae production with artificial intelligence

Vision & Mission

We believe that algae are the key to sustainably converting CO2 into food, fuel, materials, drugs, and more.

We are domesticating algae by developing strains that are optimised for any application.

The Problem

Scalability

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Environment

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Biology

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Our Solutions

We are building a platform that uses AI and synthetic biology to optimise these factors, enabling us to develop strains that are purpose-built for industrial production.

Market Potential

$35.5 B

Global market for products derived from algae biomass 2020

$782.9 M

Global market for algae biomass 2020

$1.2 M

Total addressable market for initial data analytics per annum

$.2 M

Total serviceable obtainable market per annum

Road Map

1.

Data analytics product that allows algae farmers to collect, monitor, analyse, and report data on algae production (year 1, example: Prospera)

2.

Process optimisation service that enables farmers to optimise environmental parameters affecting production (years 1-2, example: Culture Biosciences)

3.

Non-GM strain optimisation service that enables farmers to optimise biological parameters affecting production (years 2-3)

4.

GM strain optimisation service that enables farmers to optimise biological parameters affecting production and access new product markets (years 3+, example: Ginkgo Bioworks)

Stefan Grossfurthner

Co-Founder & CEO

Stefan spent the past four years at Cambridge doing a PhD in synthetic biology, where he engineered algae to produce high-value products. He has first-hand experience with the good, the bad, and the ugly when it comes to engineering and optimising messy biological systems.

Ludovico Mitchener

Co-Founder & CTO

Ludo is no stranger to biological complexity. He has two master’s degrees, one from modelling the brain using neuroscience, the other from trying to recreate it with AI. He is an expert in using ML to make sense out of large, complex datasets having built data analytics platforms for FMCG giants.

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