In the back of a supermarket, a worker opens a refrigerated case and pushes a metal probe into a package of chicken. It is a routine check for food safety compliance, but it wastes time, risks contamination, and spoils the product. Axino, a Swiss startup founded in 2016, is building a system to make that manual check obsolete.
Its product combines wireless sensors, low-power wide-area networking, and predictive AI to remotely monitor and forecast the core temperature of refrigerated food. The goal is to give retailers continuous, automated visibility into food quality, aiming to reduce waste, cut energy use, and streamline safety documentation [Perplexity Sonar Pro Brief]. The company has raised at least $2.04 million in seed funding, with backing from Momenta Ventures, and has landed a key deployment with Migros, Switzerland's largest retail company [CB Insights, August 2025] [LinkedIn].
The technical wedge
Axino's approach is a classic infrastructure play: replace a manual, error-prone process with an automated, data-rich one. The system's sensors are designed to communicate over LoRaWAN and other low-power networks, which allows for long battery life and operation in environments where WiFi or cellular signals are weak, such as large refrigerated warehouses [Perplexity Sonar Pro Brief].
The AI layer is tasked with predicting compliance, not just reporting it. By analyzing temperature trends from the sensor grid, the system aims to forecast when a product's core temperature might drift out of the safe zone, allowing for proactive intervention. This moves the value proposition from simple monitoring to predictive quality management.
The team and the timeline
Axino was founded by Ihab Hourani, who serves as CTO, and Werner Kratz. The company brought on Mario Vögeli as CEO in March 2021, coinciding with its first external financing round. Public reports from that time describe Vögeli as a "seasoned entrepreneur" [Startupticker.ch, March 2021]. The leadership transition suggests a deliberate move from a technical founding phase toward commercial scaling.
Funding has followed a measured, staged path, typical for a hardware-involved startup in Europe.
| Metric | Value |
|---|---|
| March 2021 Seed | Undisclosed CHF |
| May 2021 Seed | 1.66 M USD |
| August 2025 Seed | 2.04 M USD |
The most recent $2.04 million round, reported in August 2025, indicates ongoing investor confidence to scale beyond initial pilots [CB Insights, August 2025].
Traction with a flagship anchor
For a startup selling into conservative retail and logistics sectors, a reference customer is critical. Axino's clearest win is Migros. A 2021 report noted the solution had "already been proven" through collaboration with the retail giant, which uses the system for automated core temperature monitoring [Greater Zurich Area, March 2021]. This partnership serves as a powerful proof point for other European retailers.
The company also lists a technology partnership with Oracle Cloud Infrastructure, which it uses to run its IoT sensor systems [Oracle]. This provides a layer of enterprise credibility for its backend infrastructure.
The scale-up calculus
The bet is straightforward: manual food safety checks are a global, regulated inefficiency. Automating them with a sensor network creates a new data layer for retailers. The potential benefits break down into a clear ROI argument.
- Waste reduction. Predicting spoilage allows for better inventory rotation and markdowns before products are unsellable.
- Labor automation. Eliminating manual checks frees staff for other tasks and reduces human error in compliance logs.
- Energy efficiency. Data on refrigeration performance can identify inefficient units, cutting electricity costs.
- Compliance assurance. Automated, tamper-evident logs simplify audits for food safety standards.
For a retailer like Migros, even a single-percentage-point reduction in waste across a perishables category would justify the system's cost. The challenge for Axino is proving that ROI consistently across different store formats and product types.
Where the system could strain
Deploying any hardware-plus-software system at scale introduces friction that doesn't exist in a pilot. For Axino, the path to widespread adoption hinges on overcoming several technical and commercial hurdles.
The sensor network's reliance on low-power wide-area networks like LoRaWAN is a strength for battery life and coverage, but it adds complexity. Retailers must ensure network coverage across all relevant areas, which may involve installing new gateways. This creates a deployment cost and timeline that a pure software solution would not have.
On the software side, the predictive AI's accuracy is paramount. False alarms could lead to unnecessary product write-offs, eroding trust, while missed predictions could result in food safety incidents. The model's performance will depend heavily on the quality and volume of training data, which only grows with more deployments.
Finally, the sales motion is inherently heavy. Convincing a risk-averse grocery chain to install new hardware, integrate it with legacy systems, and change operational workflows is a long-cycle enterprise sale. While the Migros deal proves it can be done, replicating that success across borders with different regulatory regimes and competitors will test the team's execution.
Axino's most recent funding suggests its backers are betting the team can navigate this. The next twelve months will likely be about moving from a successful Swiss deployment to a repeatable European playbook. The technical breakdown is sound; the operational execution at scale is what remains to be written.
Sources
- [Perplexity Sonar Pro Brief] Axino company and product description
- [CB Insights, August 2025] Axino funding round listing
- [LinkedIn] Axino company page and Migros customer mention
- [Startupticker.ch, March 2021] IoT foodtech startup secures first investment | https://www.startupticker.ch/en/news/food-as-a-service-startup-secures-first-investment
- [Greater Zurich Area, March 2021] Momenta Ventures invests in Axino | https://www.greaterzuricharea.com/en/news/momenta-ventures-invests-axino
- [Oracle] Axino helps keep food fresh with Oracle Cloud Infrastructure | https://www.oracle.com/customers/axino/
- [Startupticker.ch, May 2021] Additional capital for Axino | https://www.startupticker.ch/en/news/additional-capital-for-axino