Great ressources on Lab-grown meat

Published on June 17, 2020

For this second “resources” article (see the first one on DTC (direct to consumer) or DNVB (digital native vertical brands) startups and their new path to success), we have decided to focus on lab-grown meat.

First, a few answers on some key questions:

  • What is (and what is not) lab-grown meat? Lab-grown meat (also referred as clean meat, cultured meat, cell-based meat or cultivated meat) refers to a protein source identical to conventionally sourced meat at the cellular level. The process to create such meat without the butchery of animals is based on the in vitro culture of animal cells.
  • Where does it come from? Far from only futuristic, the idea and science behind cellular agriculture (another denomination) is quite old. The history of lab-grown meat is often referred to have started with:
    • In the mind of forward-thinking people such as Winston Churchill who said in 1931: “We shall escape the absurdity of growing a whole chicken in order to eat the breast or wing, by growing these parts separately under a suitable medium.”
    • In 1971 for the first lab experiment by Russel Ross on muscular fibres, which then led to decades of research on the cultivation of human tissue.
    • 2013 for the first tasting of a burger grown by the team of Mark Post (then founder of MosaMeat)
  • Will people eat it? Counterintuitively, the desire for lab-grown meat is much higher than what most of us may think. A recent study (led by the same Mark Post) has tested the reaction to people to lab-grown meat (making them test the product). Once informed about the product, a majority of the respondents was ready to buy it, with a 40% premium!
  • Does the world need lab-grown meat?
    • The main argument for lab-grown meat is the environment as conventional meat agriculture has a huge impact on natural resources and the environment, from farming to retail. While lab-grown meat is still consuming significant amounts of water and electricity, its impact is much lower (notably with the use of greener sources of energy).
    • Then, as some Western consumers are switching to plant-based foods, one should not forget about the billions of Africans and Asian consumers that will continue to access to middle-class status, for whom buying and consuming meat is socially important.
    • Last but not least, lab-grown meat, by its very definition, is much less prone to foodborne illnesses due to contamination, which is a strong argument for countries stricken by these issues (such as China with pigs and the swine flu).
  • When will see lab-grown meat in the supermarkets?

So, here are five curated resources that we often use at DigitalFoodLab when working with our clients, startups or large corporates to give them a few information on what’s happening on this ecosystem, where it comes from and where it could go:

1 – The cultivated meat 2019 report by the Good Food Institute to know more about the ecosystem, key players and investors

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Use case: project for a global F&B company looking to map its AgTech innovation ecosystem and the best startups to partner with

What we did:

  • Mapping of the AgTech ecosystem: startups, research regulators, and other leading companies.
  • Discussion to select areas to focus on.
  • Analysis of the information to reveal the trends and a model to analyse eventual partners.
  • A workshop to validate the opportunities based on our recommendations.
  • Scouting of relevant partners followed by introductions.

Results:

  • Mapping the different categories of innovations in AgTech that should be considered now to create long-term benefits for the business.
  • Identification of key partners (an incubator and a couple of startups).

Use case: project for a CPG company on the healthy ageing ecosystem

What we did:

  • Education of the board through a couple of workshops to define the perimeter
  • Identification of key opportunities and threats created by long-term evolutions (technologies, business models, behavioural changes).
  • Deep dives on each of the priority categories.
  • Co-construction of a vision on how the company should address these challenges.
  • Identification of partners (startups, incubators, funds) to move forward.

Results:

  • Creating a consensus on which categories to prioritise and how to address them.
  • Implementation of an open innovation strategy through the development of partnerships.

Use case: project for a global CPG company to develop a strategy on the healthy ageing ecosystem

What we do (ongoing mission on a subscription model):

  • Kick-off where we present an overview of the AgriFoodTech ecosystem to select with the client the categories to cover and for each, the level of information required.
  • Monthly newsletter: each month we send a newsletter with the articles that we have gathered ranked by relevance, their summaries, and a layer of analysis.
  • Database: we set up a personalised database that will be filled month after month with the information gathered on the companies identified for the watch.
  • Workshops: twice a year with the client’s innovation team and other “innovation curious” team members, we present an overview of the evolutions, key trends and a dashboard of the topics followed by the watch.

Results:

  • A clear, regular and evolutive tool to follow what is happening in terms of innovation on key topics.
  • A forum (through the workshops) to discuss innovation trends and new opportunities.

Use case: opportunity screening for an ingredient company

What we did:

  • Kick-off to define the perimeter of the ecosystem studied.
  • Mapping of the different trends shaping the innovation ecosystem of the client.
  • Analysis of the trends on DigitalFoodLab’s trend curve and other relevant frameworks.
  • Workshop to discuss DigitalFoodLab’s recommendations on key trends to prioritise

Results:

  • Shared view of the innovation ecosystem for the client with a view of the trends to prioritize.
  • Clear document (personalised trend curve) that can be easily shared internaly to explain the company’s innovation choices and which can be then updated each year.

Use case: scouting for an agriculture coop

What we did:

  • Kick-off to define the perimeter of the client, the goals of the scouting (partnerships) and the criteria on which startups should be evaluated.
  • Set-up scouting: we selected the first batch of 20+ key startups following the criteria of the client.
  • On-going scouting: then we set up a quarterly scouting of about ten startups.
  • For each scouted startup, we created an ID card with key information such as the business and technological maturity, funding, and corporate partnerships. We also added an explanation of why we selected this startup.

Results:

  • An ongoing and evolutive scouting are matching the client's criteria and its capabilities in terms of deal flow.

Use case: working on an acquisition process for a CPG company

What we did:

  • Kick-off to define what the client is seeking, notably in terms of maturity.
  • Workshop with the client based on a mapping of the different innovation ecosystems adjacent to its activities to select some priorities and discuss inspiring examples of startup acquisition stories.
  • Identification of 20+ targets.
  • Workshop to select the most relevant to engage with.
  • DigitalFoodLab worked as a sparing partner during the acquisition process, notably to help design how the acquired startup could be integrated into the overall company’s strategy.

Results:

  • Different results from traditional M&A processes with a focus on the client’s innovation strategy.
  • Identification of a good match for an acquisition.

Use case: market due diligence on sugar alternatives

What we did:

  • Kick-off with the client to discuss its interest on this category, its expectations and existing level of information (notably on the target company).
  • Mapping of the ecosystem to analyse the different existing alternatives and technologies to compare them.
  • Interview (calls) with relevant startups made by our internal biotechnology expert.
  • Recommendation on whether to invest or not.

Results:

  • Clear view of the ecosystem and of the reasons to believe (or not) in each sub-category.
  • Enforceable recommendations based on facts and expertise.