11 notable deals and things to know this week (2024 – week #21)

Published on May 22, 2024

Startup news and deals

🇦🇺📲 Agriwebb, an Australian startup, raised $7M for its livestock management software. It helps players alongside the value chain access and share data on the stock and emissions.

🇸🇪🐄 Volta Greentech, a Swedish startup, raised $2.95M for its “next-generation” methane-reducing cattle feed additive. This space is exciting and moving fast: from a handful of companies working on red algae, there is now a wide ecosystem of research, large companies, and startups developing a range of solutions to reduce the impact of animal farming. Also, many large companies support them with experiments (BEL, Mars, General Mills…), which obviously helps drive more funding. However, beyond the current hype, at least three challenges remain:

  • – Price (who pays for the additive, vaccine, or other solution and its eventual impact on milk production)
  • – Scale
  • – Efficiency (lowering methane emissions by 20 to 30% won’t solve our problem).

However, it remains one of the most obvious areas to which investors and leading companies should pay attention.

🇸🇬 🌾 Rize, a Singapore-based startup, raised $14M to make rice cultivation more sustainable through data analytics and precision agriculture techniques.

🇺🇸🍼 ByHeart, an American startup, raised $95M for its infant formula. This is quite an impressive story of a company that built from scratch an end-to-end production capability for a very complex product (and which also benefited from good timing with the shortage of formula in the US).

🇺🇸🍴 Restaurant365, an American startup, raised $175M for its foodservice management software with features ranging from accounting to workforce.

🇨🇭🤖 Mimic, a Swiss startup, raised €2.3M for its robot arms with humanoid hands. They are here to solve the increasing labour shortage in industries such as food service.

🇮🇳🌱 Niqo Robotics, an Indian startup, raised $13M for its spraying technology for agriculture, which aims to reduce the use of chemicals. As for most of the new wave of agriculture robots, it is made to integrate with existing equipment.

🇩🇪🌱 Hexafarms, a German startup, raised €1.3M to make indoor farming more efficient and increase yields through AI.

🇺🇸 🍽 Cheetah, an American startup, raised $14M for its integrated ingredient delivery platform for restaurants.

🇬🇧 🥑 OSY Group, a British startup, raised £750K for its antimicrobial packaging technology that increases the shelf-life of food produce.

Industry news & trends

🌐 📊 A good read on Ultra-processed foods (UPF), where the terminology comes from and the state of science on their potentially harmful effects. One of the most contentious topics is the correlation between chronic diseases (diabetes and also inflammatory diseases) and the consumption of UPF. Is it UPF that causes these conditions, a sub-group, or something else?

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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.