7 notable deals and things to know this week (2023 – week #10)

🇯🇵 🍅  Japanese researchers have successfully genetically engineered tomatoes to add anti-inflammatory pigments (those present in beetroots). While this topic of enhanced products is quite controversial, notably in Europe, the research is getting stronger. It is interesting to see that it goes beyond production capabilities (to be more resistant or have increased yields) but could also lead to consumer benefits.

🇳🇱  🥬 Source.ag, a Dutch startup, raised $23M for its artificial intelligence solution for greenhouses. It helps growers to optimize all the variables inside their greenhouses.

🇬🇧  🍫 WNWN, a British startup, raised $5.6M for its cocoa-free chocolate made through traditional fermentation. It says its product tastes and smells like “real” chocolate. It is interesting to see that even in chocolate (which, in fact, is a huge market), we have startups betting on plant-based / fermentation while others are using precision fermentation and other synthetic biology technology to replicate the taste that we all love.

🇺🇸 🧑‍🍳 Shef, a homemade meals platform, raised $73.5M. It benefits from new laws that enable the sale of homecooked meals across the United States. We are still sceptical about the unit economics of such a business model relying on independent chefs. But, with this level of funding, chefs can gain access to large pools of consumers and then dedicate themselves fully to the platform, hence avoiding the cost of renting a kitchen. But, at the end of the day, does this create a desirable model?

🇬🇧 🚜 Hectare, a British startup, raised $20M for its Software-as-a-Service (SaaS) platform for farmers. It provides them insights into their inventory, trading and logistics.

🇺🇸  🍪 BelliWelli, a US-based food brand startup, raised $15.4M for its products directed to consumers with gut issues such as IBS (irritable bowel syndrome). Seeing the growing interest and the number of new brands addressing digestive disorders is interesting.

🇫🇷  🌽  Inarix, a French startup, raised €3.1M for its solution that can predict the quality of crops from a picture.

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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.