12 notable deals and things to know this week (2023 – week #42)

Published on October 17, 2023

🇺🇸 🍽️ Blackbird Labs, an American startup, raised $24M for its restaurant loyalty platform. It enables restaurateurs to gain insights and better interact with repeat customers.

🇫🇷 🥛 Bon Vivant, a French startup using precision fermentation to recreate dairy proteins, raised €15M to scale its production capacity and move toward regulatory approval.

Two deals in alternative seafood (in both cases for bluefin tuna, an endangered species) produced through cellular agriculture:

🇧🇷 🍽️ Yooga, a Brazilian startup, raised $2.3M for its restaurant operation management system. We observe an interesting trend of startups working on digitising restaurants (and other retail operations) in South America, especially Brazil. I think that it is a space to keep an eye on. I often wonder if and when such services will try to go international. They are developing nationally or regionally (with giants such as Toast).

🇩🇪 🧠  Orbem, a German startup, raised €30M for its AI-powered MRI technology. By lowering drastically the cost of an MRI. For example, it can scan food products and help to detect more efficient and climate-resilient crops.

🇮🇹 🐟 The Circle, an Italian startup, raised €2.1M for its aquaponic farming technology.

🇩🇪🍕 Lanch, a German startup, raised €6.5M to launch brands co-created with influencers and content creators. This is a space that we look at with a look of interest. For now, many startups have tried to capitalise on the capacity of influencers to generate traffic, but we have not yet seen an ability to generate repeated success.

🇪🇪🌱 Paul-Tech, an Estonian startup, raised €1.4M to provide farmers with real-time insights on their soil.

🇫🇷🌾 Hectarea, a French startup, raised €0.5M for its platform facilitating investment in agricultural land. In France, as in many other developed economies, the median age of farmers is disturbingly high. It remains unclear how the transition to a new generation can happen (while older farmers expect a lot from selling their land to finance their pension). New financing models are needed. After the success of real estate crowdfunding, this could be a new trend for consumers looking to invest their money while having an impact.

🇺🇸 🧬 DNA testing company 23andMe got hacked, and some users’ data got posted online. Cybersecurity is a significant concern for consumers (and food companies) looking into testing kits and personalisation. If we want more consumers to perform these tests and then share them with food companies to get personalised nutrition recommendations, we need to find ways to ensure greater security of such sensitive data.

🇺🇸 🧑‍🌾 We often hear that it is the end for startups operating indoor farms. That’s not far from true, but there are exceptions, and Gotham Greens is a large one. It has just inaugurated its 12th large hydroponic farm.

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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.