Best deals and top FoodTech news (2022 – week #9)

Published on March 11, 2022

THE 5 DEALS YOU SHOULD KNOW ABOUT THIS WEEK

🤖  🚚  🇪🇪  Starship Technologies (founded in Estonia) raised $42M for its small sidewalk delivery robots. It has now raised more than $100M in funding. It currently operates 1,700 robots which make 10,000 deliveries per day.
We recently covered the boom in food automation from cooking robots to delivery robots. Starship seems to be well-positioned in this race.

🍽️  🇺🇸 DoorDash (restaurant delivery leader in the US) acquired Bbot, a digital ordering platform for restaurants.
This acquisition is a sign of both the vitality of the digital ordering ecosystem (from digital menus to pay-at-table to ordering centralization services) and the growing appetite of restaurant delivery giants to diversify into services. By adding services on top of their current delivery and marketing platform, they will differentiate and leverage their relationship with restaurants even more.

🥚  🇳🇱  Ovo, a Dutch startup raised €34M to prevent the killing of male chicks. Its technology can identify the gender of eggs before they hatch.

🍱  🇺🇸 Weee! (mentioned in our report on unicorns) a multicultural grocery delivery platform focused on Asian & Hispanic consumers, raised $425M.
More than one giant deal, Weee! is “only” the leader of a growing ecosystem of startups that are working on multicultural grocery delivery services. We have recently observed many such ventures in Europe, notably in the UK and in Germany. We expect many more to emerge, as each tends to target a specific group with its “hard-to-get” products.

🧫  🇺🇸  Stämm Biotech raised $17M for its next-generation bioreactor. Bioreactors are at the core of the alternative protein revolution. These devices are the place “where the magic happens” and where cells multiply (in cellular agriculture) or where fermentation happens in other technologies. Stämm’s bioreactors hope to solve many of the current hurdles facing startups in the space with a new design.

BEYOND FUNDING, WHAT ELSE HAPPENED?

🏪  🌑  Cities on both sides of the Atlantic are pushing back against dark stores (mini-warehouses used to deliver groceries in less than 10 to 30 minutes):

🔪 🌑  An interesting tool to calculate the viability of a virtual restaurant. You can modify many parameters from the 3rd party delivery platform commission to the number of daily orders.
Toying five minutes with this tool shows how hard creating a profitable virtual restaurant can be without a strong brand behind it to generate a lot of orders.

🛩️  🧀  Wing (an Alphabet division) announced that it had hit 200,000 drone deliveries and now operates 1,000 deliveries per day. Active in multiple countries, Wing seems to be making the bulk of its deliveries in Australia.

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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.