19 FoodTech news to know this week (2025 – week #41)

Published on October 6, 2025

💸 Startup Funding News

🇸🇬 🇸🇪 🚛 Big week for self-driving trucks and for a smarter supply chain:

 

🇨🇦 🍝 Chickapea, a Canadian startup, raised CAD $4.25M to expand its high-protein chickpea pasta line.

 

🇬🇧 🧬 Nobacz, a UK startup, raised £4.8M to scale its biotech wound-care platform for livestock that could replace bandages and antibiotics.

 

🇳🇱 💧 Clear.bio, a Dutch startup, raised €1.7M for its personalized nutrition platform leveraging continuous monitoring glucose to help manage type-2 diabetes.

 

🇹🇿 🌾 Mazaohub, a Tanzanian startup, raised $2M to scale its smart farming tools.

 

🇦🇺 🤖 Terra Robotics, an Australian startup, raised $30M to deploy its autonomous robots for specialty crops such as orchards.

 

🇬🇷 🚜 Terra Robotics, a Greek startup raised €1.8M for its laser weeding trailer system that can be plugged to existing tractors.

 

🇺🇸 🥛 Slate Milk, a US startup, raised $23M to grow its high-protein ready-to-drink milkshakes.

 


🤝 Acquisitions, IPOs & Partnerships

🇺🇸 👶 Once Upon a Farm, a US baby food startup, filed for an IPO, marking one of the few baby food exits in recent years.

 

🇨🇦 🦗 Aspire Food Group’s sold its cricket farm was sold to Halali. One after the other, the “legacy” players of the insect farming landscape are collapsing. However, and that’s the most important point, factories are not shut down, but acquired to be operated more efficiently, so there is probably light at the end of the tunnel for this industry.

 

🇺🇸 🤖 DoorDash, the US food delivery giant, unveiled Dot, an autonomous delivery robot.

 

🇺🇸 🧾 Beyond Meat is, again, facing difficulties. Let’s say that it’s proposal to wipe off $800M did not go well with investors. The stock reach an all time low, but has bounced back since then.

 

🇯🇵 ☕ Bean-free coffee startup Prefer partnered with Ajinomoto to expand across the Asia-Pacific market.

 


📊 Leading Companies & Macro Trends

🇨🇭 🧬 DSM-Firmenich opened a new global Food Innovation Centre in Delft to accelerate bio-based ingredient R&D.

 

🇨🇳 🚴‍♂️ Shenzhen is becoming the world’s delivery capital, with thousands of gig riders powering its food ecosystem. In this article we learn how swarm of delivery runners are doing the “last last meter” to deliver food from the ground floor to the office worker which order it.

 

🇬🇧 🏭 Princes Group (the company behind well-known UK staple food brands) plans a London IPO to support global expansion.

 

🇺🇸 🩺 The new EAT-Lancet 2025 report reaffirmed that dietary change is essential for planetary health.

 

🇯🇵 🔐 Asahi confirmed a cyberattack, exposing sensitive data. The attack has had serious consequences has it has halted the company’s orders system which had to be taken manually. Production has also been suspended in multiple manufacturing sites in Japan.

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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.