14 FoodTech news to know this week (2025 – week #36)

Published on September 1, 2025

💸 Funding News

🇦🇪 📈 Maalexi, a UAE-based startup, secured a $20M Shariah-compliant facility to develop its B2B platform that enables cross-border agriculture commodity trading.

 

🇯🇵 🧬 Fermelanta, a Japanese startup, raised $13.6M to develop its microbial fermentation technology that produces complex plant compounds. Its pipeline includes speciality ingredients for the food industry.

 

🇺🇸 🌰 NuCicer, a US-based startup, raised $11.5M to scale its high-protein chickpea varieties (containing up to 35% protein).

 

🇳🇱 🎙️ Vox AI, a Dutch startup, raised $8.7M to bring voice-AI to fast food drive-thrus.

 

🇮🇳 🐖 WasteLink, an Indian startup, raised $3M to turn food surplus into sustainable animal feed.

 

🇳🇱 🧠 Toppi, a Dutch startup, raised nearly €1M to scale its digital tools for bars and restaurants.

 


🔄 Acquisitions, Partnerships & Bankruptcies

🇺🇸 🤖 John Deere acquired GUSS Automation, a US startup, adding autonomous sprayers to its growing portfolio of robotic startups.

 

🇬🇧 🧫 CellRev, a UK startup, is shutting down. The startup, which was developing ingredients for cultivated meat, says it wasn’t able to deliver commercial milestones quickly enough to raise new funds.

 

🇺🇸 🏚️ Rescale, a US co-manufacturing platform for CPG brands, shut down just a year after raising $2.3M.

 

🇳🇱 🌱 Vegan Finest Foods, based in the Netherlands, filed for bankruptcy. The company was behind plant-based brands such as Vegan Zeastar, which faced a decline in demand.

 


📊 Leading Companies & Macro Trends

🇺🇸 🚗 Robomart, a US startup, unveiled a new on-demand mobile store robot with a $3 flat delivery fee, targeting grocery and convenience. If this business model can scale, it could help meet the growing demand for robotic delivery.

 

🇺🇸 🍔 On a diet? Avoid ultra-processed foods (UPF). A recent study has shown that UPFs can slow weight loss. This clinical study involved participants who were given strict instructions on what to eat (something rare enough to be underlined, as most studies on food rely on what participants report having eaten). While the number of studies piles up, the combination of rising public awareness and the current push against processed foods in the US should make the industry move faster.

 

🇺🇸 🧃 A WSJ columnist reported surprising results after removing ultra-processed foods (UPFs) for a month: sleep, mood, and appetite control improved. This kind of first-person storytelling could accelerate consumer awareness.

 

🇨🇳 🛵 There is a food delivery war in China. Current leaders, notably Meituan, are facing the emergence of deep-pocketed competitors, such as ByteDance’s Douyin and Alibaba. The price war is severe enough to have an impact on Alibaba’s earnings. Should we expect a new price war in other markets?

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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.