22 FoodTech news to know this week (2024 – week #46)

Published on November 12, 2024

Startup news and deals

🇬🇧 💊 Artah Nutrition, a UK-based startup, raised £3M for its health supplements targeting wellness and holistic health.

🇪🇸 🦗 Tebrio, a Spain-based insect protein producer, raised €30M to increase production capacity, notably for animal feed and pet food applications.

🇺🇸🍻 Best Day Brewing, a US-based startup, raised $22.5M to expand its offerings in the non-alcoholic beer market.

🇮🇳📱 Healthify, an Indian startup, raised $20M for its AI-based personal health and wellness coach that provides advice, including nutrition. While still in its infancy, it is one of the AI applications that we watch the most closely. It could (finally) make the promise of personalised nutrition move forward with bespoke advice and conversations that engage consumers toward healthier lifestyles.

🇸🇦🌱 Nabt, a Saudi Arabia-based startup, raised $1.5M for its B2B marketplace, connecting farmers directly with businesses.

🇺🇸🤖 Picnic Works, a US-based startup, raised $5M to advance its pizza-making robots for commercial kitchens (this is much less than what it raised previously, showing the difficulty of food robot startups in raising significant amounts).

🇳🇿💉 Alimetry, a New Zealand-based startup, raised NZ$27M for its gut health wearables used for diagnoses of gut-related conditions with symptoms such as chronic indigestion or abdominal pain. The non-invasive device can detect electrical currents as the patient eats, digests, and logs symptoms. Then, using AI, it can deliver a report to physicians.

🇵🇱 🍱 Foodsi, a Poland-based food waste reduction startup, extended its seed round by €1.2M to grow its platform that connects consumers with surplus food from restaurants.

🇮🇳📦 Udaan, an Indian startup, raised $36M for its B2B platform that connects manufacturers, wholesalers, and retailers.

🇩🇰🥕 Kanpla, a Danish startup, raised €8M for its digital tools for managing food service operations, including ordering and supply management.

🇺🇸🍩 Drumroll, a US-based “better-for-you” donut brand, raised $3M to expand its healthier donut offerings and increase market presence. The number of “healthy donut” brands being created is quite surprising

🇸🇪💉 Yazen, a Swedish startup, raised €19.5M to develop digital solutions providing digital health support for users of Ozempic, targeting weight management and diabetes patients.

🇺🇸📍 Marqii, a US-based digital platform for restaurant marketing, raised $10M to expand its tools for managing menus, listings and reviews.

🇵🇹🛒 Sensei, a Portugal-based startup focused on autonomous retail technology, raised €15M to expand its cashier-less retail solutions. That’s quite noticeable in an ecosystem which is otherwise doing poorly with multiple Amazon Go store being shut down. Sensei ambitions to scale its solution to 1000 stores by 2026.

🇮🇳🚀 Swiggy, an India-based food delivery giant, raised $606M as it prepares for its IPO.

🇺🇸🍔 MealMe, a US-based startup, raised $8M for its solution that integrates food ordering and delivery services within other applications (such as recipe websites), creating a seamless food ordering experience.

🇩🇪 🌊 Oceanloop, a Germany-base startup, raised €35M to expand its indoor shrimp farming production.

🇮🇪🌿 Ulysses Ecosystem Engineering, an Irish company, raised €2M for its drones that are used to automated ocean habitat restoration, notably replanting seagrass.

🇺🇸🌱 Bowery Farming, a US-based indoor farming company which was once valued at $2B while having raised about $700M, announced it is ceasing operations due to financial difficulties. That’s yet another blow to the indoor/vertical farming ecosystem.

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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.
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  • 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:

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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.

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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.
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  • Clear view of the ecosystem and of the reasons to believe (or not) in each sub-category.
  • Enforceable recommendations based on facts and expertise.