12 notable deals and things to know this week (2024 – week #7)

Published on February 13, 2024

🇺🇸 🥛 Nestlé Launched a precision fermentation whey product in the US. This is noteworthy as it is the company’s first major product launch using precision fermentation (using genetically engineered microorganisms to reproduce the desired protein).

🇪🇪 🤖 Starship Technologies, an Estonian startup, raised €90M for its autonomous last-mile delivery robots. This is quite noticeable as delivery robots are having difficulty moving forward lately, as they are pretty expensive to build and maintain. But as labour costs keep rising and technology matures, they make more and more sense.

🇪🇸 🥩 Heura Foods, a Spanish startup, raised €40M for its plant-based food products. Given the current pessimism about plant-based foods, this funding is quite a feat.

🇩🇰 🏭 21st Bio, a Danish startup, launched a precision fermentation platform for food and beverage manufacturers looking to produce synthetic biology ingredients.

🇫🇷 🍽️ Jow, a French startup, raised 13€M for its online grocery shopping and recipe idea platform. With this funding, it will expand in the US.

🇺🇸 🍽️ Owner.com, an American startup, raised $33M to help independent restaurant owners manage their online presence more effectively.

🏭 🤑 Ultra-processed foods (UPF) are getting a lot of attention nowadays. While consumers are becoming aware of the harmful long-term effects on their health, we observe a barrage of comments and articles trying to promote the idea that there are “good UPFs” and “bad UPFs” or that this classification doesn’t make sense. Quite logically, this point of view was initially led by industry leaders who are creating significant profits out of them. However, a new angle of attack against the concept of UPF is coming from plant-based food manufacturers, which are often promoting their products as healthy alternatives to animal protein.

🇺🇸 💊 Instacart, the US online grocery delivery giant, has launched a new “Food as Medicine” initiative. The initiative aims to promote healthier food choices by providing nutritional information and recommendations within the platform. Users can filter grocery items by specific health-related categories, such as heart health, diabetes-friendly, or gluten-free.

🇺🇸 🍔 People can be funny: there seem to be fast food chains superfans ready to queue hours before the opening of new joints. Do they take a picture, frame it, and then say, “I was there?”.

🌍 💉 Novo Nordisk’s CEO, the maker of Ozempic, the “magic” diabetic drug turned weight-loss drug, says that fellow food company CEOs are calling him to learn more about when new products will be launched because they are “scared” about their effect on their product sales.

🇺🇸 ♻️ ProducePay, an American startup, raised $38M to reduce fresh food produce waste. It aims to reduce the food industry’s inefficiencies by offering growers and distributors financial tools that provide stability and predictability.

🇺🇸 🍽️ First Bite, an American startup, raised $3M to make it easier for manufacturers to get their products into restaurants.

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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.