8 notable deals and things to know this week (2023 – week #3)

Published on January 17, 2023

🇺🇸 💥  We know that 2023, or at least the first half of the year, will be full of bad news about startups revisiting their business model, if not shutting down their operations entirely. It is already starting with two US startups:

  • Wonder, which raised hundreds of millions on the name of its founder, a meal delivery startup, is changing its model. The startup was known for its vans equipped with a kitchen. The driver parked in front of your home, cooked the meal (in the van), and delivered it to your door. It will pivot toward a more traditional virtual restaurant model with cloud kitchens.
  • New Age Eats, a cellular agriculture startup, which as many other companies in this space, was developing its own pilot facility, is forced to sell it. It seems that the startup could not raise the money needed to finalize the construction and operation of the facility.

🇫🇷  🏭 Algama, a French startup working on microalgae, is raising €13M to develop its first industrial facility. With multiple big food corporations participating (such as Grupo Bimbo and Thai Union), it shows the industry’s appetite for new ingredients, such as Algama’s egg protein substitute.

🇨🇦 🍗  No Meat Factory, a Canadian B2B company developing plant-based meat alternatives, raised $42M. With this funding, it will build a new large facility in the US to serve plant-based brands. Adding new industrial plant-based capabilities will be key to reducing the cost of alternatives and eventually reaching price parity with meat products. It is also interesting to observe this move from integrated full-stack B2C companies toward a model that looks much more like the rest of the food industry with new plant-based co-packers (producing for brands).

🇩🇪  🥩  Project Eaden, a German startup, raised €2.1M for its plant-based meat technology that improves texture.

🇳🇴  🚜  N2 Applied, a Norwegian startup, raised €10M for its technology that enables farmers to become self-sufficient with fertilizers. It replaces chemical fertilizers with a treated livestock slurry that has equivalent performance.

🇫🇷  🌱  MycoPhyto, a French startup, raised €4.2M for its bioinputs. It uses mycelium to replace chemical fertilizers. Both deals show the growing appetite for solutions to replace existing fertilizer. This is due to the current context of tension on the gas price (necessary to produce nitrogen fertilizers) and to the growing concern for the environment and the health of agricultural soils.

🇺🇸  🌽  Alphabet (the parent company of Google) is adding a new precision agriculture company to its portfolio. It is called Mineral, and it comes from Alphabet’s incubator dedicated to long-term projects. With extensive datasets, Mineral wants to help farmers, but also all the companies involved in agriculture, to predict yields, target pests and weeds, reduce waste… As data is key to improving agriculture’s performance and sustainability, it is interesting to see one of the world’s largest tech firms enter this market.

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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.