Ÿnsect is dead, long live insects

Published on December 9, 2025

It was a long and painful process to watch, but finally, Ÿnsect, the former French insect protein unicorn, is “dead”. I say painful because it led to many exaggerations, initially positive ones that have become increasingly pessimistic about the company itself, the underlying trend and technology, AgriFoodTech, and startup-driven innovation as a whole. I have never been a great believer in insects as a miracle solution, but they are a piece of the future of food. If it’s over with Ÿnsect, it’s far from being the case for insects. Let’s look at what this example can help us learn about innovation.

Ÿnsect: the end of a symbol, not a sector – what happened?

Ÿnsect was the symbol of its category (insect farming) and also the linchpin of the French and European AgTech ecosystem. As is often the case, the failure of a flagship startup has ripple effects, affecting companies and technologies that have nothing to do with it. What everybody wonders about is what happened inside a startup that raised almost $600M.

This is not the place for a fully detailed story of the company, but here are three items which can help you understand what happened:

  • Scaling too soon. Initially, Ÿnsect had an experimental farm, which it was running in the East of France, with plans to then scale up. Then came the post-COVID boom, where most investors were hyped about funding growth. Insect farming was another thing, like vertical farming (remember Infarm), which had proved neither their technology nor their economic viability. Ÿnsect, as the most well-known startup (and with the most efficient founder at marketing its startup promise to revolutionise how things are done) raised the most. As could be expected, scaling up production also implies huge CAPEX and rising fixed costs.
  • Limited buyers for a high-end product: the company never achieved any significant sales (about €2M in total between 2015 and 2023), mostly coming from its pilot plant. The economics remain complicated, as insect protein is a premium product compared to other feed aliments. It can be partially compensated for by the use of frass (excreta of insects) as agricultural inputs.
  • Change of mood: investors basically turned away from CAPEX-intensive projects in 2023, and the (massive) use of public funds for Ÿnsect has not been enough. The absence of corporate backers (which are supporting competitors) has not helped.
  • A wrong set of hypotheses. Many hypotheses were formulated by investors to support their thesis, but most, if not all, went wrong: energy prices went up instead of going down, the facility wasn’t working as planned, the push for strategic autonomy in animal feed was compensated by the inflation concerns on prices. So many things should have been aligned for things to work well that it almost looks like wishful thinking.

The heavy investment of public funds and public figures in this story has also contributed to the current situation. Transforming a single startup into a leader was taking the risk of both selecting the wrong company (notably by making other investors wary of betting against the one so visibly publicly supported) and weakening the overall innovation ecosystem.

insects

Capital is still flowing into insect protein

So, is it over for insect protein? Actually, far from it, it is only the beginning. The issue with failed startups in that space mostly lies in their inability to provide ingredients in the right quantity and at the right price.

After a wave of bankruptcies, we have observed in the past year, quite the opposite, with more than $120M raised, notably:

As these deals demonstrate, the appetite for insect protein and its many applications in agriculture is far from having been squashed by Ÿnsect’s story. Among others, here are some differences between these projects and the previous ones (including Ÿnsect):

  • Realistic value proposition vs. changing the world: new projects emphasise their multiple markets (protein, fertiliser) but don’t mention fantasies like using insects for human food (which are good to grab the attention of the press and investors, but not to run a business).
  • Regional production hubs rather than mega facilities: new facilities are focused on their home markets and targeting local consumption rather than planning to become big exporters.

Insects for animal feed and agricultural inputs still make a lot of sense, notably in Europe, where there is a significant protein deficiency in animal feed (combined with a growing push for circularity and a will to become more strategically autonomous, notably from US imports). However, they will probably remain niche as price will remain a concern, and as they have probably missed their “window of opportunity” in terms of timing compared to other technologies.

What this tells us about the AgriFoodTech innovation cycle

insects-DigitalFoodLab-trend-curve

This innovation trend follows a typical pattern along the innovation curve (see the full report on all the trends here for comparison) and is actually closer to becoming productive than to disappearing. It is helpful to remind ourselves of the journey it followed to understand where we are:

  • After a decade of “incubation” with many attempts and failures in the 2010s, we reached a peak of excitement (around 2020-2022) where tens of players emerged. As the ecosystem was unstructured, each player was trying to master all the segments of the value chain from breeding to industrialisation to commercialisation.
  • It jumped quite fast into a phase of disillusion (where, again, quite typically, former supporters discovered that the business model, the market and the technology were as ready as they thought), in which we have been for the past three years, with many startups going bankrupt.
  • Now, as in most cases, survivors are resetting on a more realistic approach and are competing with newly established players which are focused on a single segment (such as FreezeM on insect breeding).

This moment, when new, more focused players re-emerge, often signals that the trend is ready to “restart” its journey towards market adoption.

Beyond, it teaches us some lessons, which are especially valid for large corporations involved in that space, which can be summed up as a list of things to avoid:

  • Don’t bet on a single technology to solve a problem: for alternative proteins, for example, in most instances, we don’t know which technology will solve which problem
  • Don’t bet on a single startup: too many bad things can happen
  • Don’t avoid the hard question: what happens if the underlying partnership hypothesis doesn’t work (if energy prices go up rather than down, if the scale-up process is a failure…)

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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.