Axino
Automated food-quality system using AI and sensors to monitor refrigerated food core temperatures.
Website: https://axino.co/
Cover Block
Open sources
| Field | Value |
|---|---|
| Name | Axino |
| Tagline | Automated food-quality system using AI and sensors to monitor refrigerated food core temperatures. |
| Headquarters | Solothurn, Switzerland [EU-Startups] |
| Founded | 2016 [EU-Startups] |
| Stage | Seed [Crunchbase] |
| Business model | Hardware + Software |
| Industry | E-commerce / Retail |
| Technology | AI / Machine Learning |
| Geography | Western Europe |
| Growth profile | Venture Scale |
| Founding team | Co-Founders (2): Ihab Hourani, Werner Kratz [LinkedIn, retrieved 2026] [RocketReach, retrieved 2026] |
| Funding label | Seed |
| Total disclosed | Approximately $2,040,000 [CB Insights, August 2025] |
Links
Open sources
- Website: https://axino.co/
- LinkedIn: https://www.linkedin.com/company/axinoai/
What an Investor Needs First
PUBLIC Axino is a Swiss food-safety startup building sensor-based software and hardware to monitor refrigerated food temperatures remotely, a proposition that merits attention because it sits at the intersection of compliance, waste reduction, and store-level labor efficiency in food retail [Startupticker.ch, March 2021] [Oracle] [Greater Zurich Area, May 2021]. Founded in 2016 in Solothurn, the company came into wider public view with its first external financing in March 2021, when Momenta Ventures backed the business and Mario Vögeli joined as CEO, according to Startupticker and Greater Zurich Area [Startupticker.ch, March 2021] [Greater Zurich Area, March 2021].
The core product is an automated food-quality system that uses wireless sensors and analytics to monitor chilled goods without repeated manual probing, and Oracle's customer case study points to a practical wedge: reducing spoilage risk tied to manual checks while improving food-safety documentation and operational visibility [Oracle] [Startupticker.ch, March 2021]. Product differentiation appears to rest less on a broad cold-chain software claim and more on Axino's combination of embedded sensing, low-power connectivity, and core-temperature prediction inside live retail environments, including reported use with Migros [Greater Zurich Area, May 2021] [LinkedIn, retrieved 2026].
On team quality, the public record is strongest around technical founding continuity. Ihab Hourani is identified as founder and CTO by LinkedIn and by The Digital Thread podcast listing, while Mario Vögeli is publicly listed as CEO; Werner Kratz appears in public sources as a co-founder or senior IoT operator, though the exact founding-role record is lighter than for Hourani [LinkedIn, retrieved 2026] [SoundCloud] [RocketReach, retrieved 2026].
The financing history is early-stage and somewhat uneven in disclosure. Publicly reported rounds include an undisclosed March 2021 seed led by Momenta Ventures, a CHF 1.5 million follow-on in May 2021, and a later $2.04 million financing entry recorded by CB Insights in August 2025, while the operating model is best described as hardware plus software sold into food retail and adjacent cold-chain users [Startupticker.ch, March 2021] [Startupticker.ch, May 2021] [CB Insights, August 2025].
Over the next 12 to 18 months, the main watchpoints are whether Axino can show broader customer validation beyond Migros, turn its product claims into repeatable commercial evidence, and clarify the shape of its more recent capitalization after the 2025 financing record [Greater Zurich Area, May 2021] [CB Insights, August 2025]. The public evidence supports a credible early company with a real problem orientation, but not yet a richly disclosed traction story.
Partially corroborated -- Core company identity, founders, and 2021 financing are corroborated by Startupticker, Greater Zurich Area, and LinkedIn; product and customer detail rely partly on company-linked or partner sources, and the 2025 financing record is singly sourced to CB Insights.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Seed |
| Business Model | Hardware + Software |
| Industry / Vertical | E-commerce / Retail |
| Technology Type | AI / Machine Learning |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Seed, total disclosed ~$2,040,000 |
Inside the Company
PUBLIC
Axino presents as a Swiss cold-chain and food-quality monitoring company with a long development arc relative to its still-seed funding profile. Public company profiles place the business in Solothurn, Switzerland, and date its founding to 2016, while Crunchbase categorizes it as a hardware-plus-software company focused on AI and machine learning in retail and e-commerce contexts [Crunchbase]. The company website describes Axino as a unified IoT platform, which is directionally consistent with the broader positioning around connected monitoring systems rather than a pure sensor vendor [Axino, retrieved 2026].
The public milestone record is thin but usable. Crunchbase identifies the company as seed stage and lists total disclosed funding of about $2.04 million, while the company website supports the operating narrative that Axino has built around connected device infrastructure and multi-protocol connectivity [Crunchbase] [Axino, retrieved 2026]. On public evidence alone, the cleanest reading is that Axino spent its early years building the technical base for refrigerated food monitoring, then moved into externally financed commercialization by 2021, with the legal entity details and incorporation history not established in the permitted source set for this section [Crunchbase] [Axino, retrieved 2026].
Partially corroborated -- Based on Crunchbase and the company website; headquarters, founding year, stage, and platform positioning are publicly visible, but legal entity details and fuller milestone chronology are only partially corroborated.
Under the Hood
MIXED
Axino is selling into a narrow operational pain point rather than a broad transformation story. Public descriptions consistently frame the product as an automated food-quality system for refrigerated goods, using sensors and software to monitor temperature conditions remotely and support food-safety documentation [Startupticker.ch, March 2021] [Oracle] [Momenta]. Oracle's customer case study adds the clearest functional detail: the system is intended to replace manual checks that can damage produce, while monitoring chilled food across grocery, restaurant, and logistics settings [Oracle].
The technical architecture is described publicly in general terms, with some capability claims resting on company or investor materials rather than independent verification. Axino says its system combines wireless sensors, AI, and multiple connectivity options, including WiFi, GSM, Ethernet, LoRa, and mesh networking, through what it calls a unified IoT platform [Axino, retrieved 2026]. Independent and semi-independent coverage is directionally consistent on the refrigeration use case and on low-power sensor networking, including references to LoRa-based devices and AI-based core-temperature prediction, but those predictive claims are best read as company-positioned functionality rather than fully third-party validated performance data [LinkedIn, retrieved 2026] [Momenta] [Startupticker.ch, March 2021].
The strongest public evidence of real-world deployment is the repeated association with Migros, which Startupticker and Greater Zurich Area said was using or had proven the solution in automated food-quality management by 2021 [Startupticker.ch, May 2021] [Greater Zurich Area, March 2021] [Greater Zurich Area, May 2021]. Oracle also identifies Oracle Cloud Infrastructure as part of Axino's operating stack, which is useful as a verified infrastructure datapoint, although it does not establish product performance, model accuracy, or the breadth of rollout across customer sites [Oracle].
Claim stands unchecked -- This section relies materially on company, investor, platform, and customer-case-study descriptions, with limited independent technical corroboration beyond the refrigeration monitoring use case and Migros deployment references.
Market Research
Open sources Food retail has a narrow tolerance for quality failures, and that makes cold-chain monitoring one of the clearer operating budgets where regulation, shrink reduction, and labor savings can converge, even when the vendor category itself remains lightly disclosed [Oracle] [Startupticker.ch, March 2021].
The constraint in Axino's case is simple: there is no cited third-party market model in the provided record that sizes its exact category, so any market framing has to stay one step back from the company and rely on adjacent, analogous markets rather than a claimed TAM [Crunchbase] [PitchBook]. Public reporting does support the commercial problem definition. Startupticker described Axino in 2021 as an IoT foodtech company focused on monitoring refrigerated food temperatures, while Oracle's customer case study places the product in grocery, restaurant, and logistics workflows where temperature tracking and documentation are operational requirements rather than discretionary analytics projects [Startupticker.ch, March 2021] [Oracle].
Demand drivers in the available evidence are practical rather than thematic. Oracle says the system helps retailers avoid manual checking methods that can damage produce, and the 2021 Swiss coverage ties adoption to automated food-quality management in collaboration with Migros, a signal that the first wedge is store-level process automation rather than a broad enterprise software mandate [Oracle] [Greater Zurich Area, March 2021] [Greater Zurich Area, May 2021]. That matters because a product tied to spoilage reduction, compliance logging, and refrigeration visibility can draw budget from several line items at once, provided the ROI is observable at site level.
The nearest adjacent markets are broader retail IoT, HACCP and food-safety compliance software, refrigeration monitoring, and cold-chain telemetry for logistics. The source set also suggests a substitute dynamic: manual temperature probing and checklist-based quality control remain the incumbent workflow that Axino is trying to replace, especially in chilled food environments [Oracle] [Startupticker.ch, March 2021]. In practice, that means Axino is not only competing for software spend, it is competing against labor routines that many operators already regard as "good enough" until waste, audit pressure, or labor scarcity changes the math.
Regulation and macro conditions likely help the category, but the evidence here should be stated narrowly. The cited material supports compliance documentation and food-quality management as buying triggers, and it supports use in retail and logistics settings where refrigeration uptime and documented handling matter [Oracle] [Greater Zurich Area, May 2021]. The sources do not provide a named statute, a quantified market-growth forecast, or a third-party estimate of category spend, so the cleaner read is that Axino sits in a policy-supported operating niche rather than a publicly well-benchmarked software segment.
| Market lens | What the sources support | Source basis |
|---|---|---|
| Core category | Automated monitoring of refrigerated food quality and temperature compliance | [Startupticker.ch, March 2021] [Oracle] |
| Primary buyer context | Food retail, with adjacent use in restaurants and logistics | [Oracle] [Greater Zurich Area, March 2021] |
| Incumbent substitute | Manual temperature checks and produce sampling | [Oracle] |
| Budget justification | Waste reduction, compliance documentation, refrigeration visibility | [Oracle] [Startupticker.ch, May 2021] |
The table is sparse by design. It shows a real market need with credible deployment context, but it also shows how little third-party sizing data is in the public record, which limits precision on TAM and category growth.
Partially corroborated -- Section relies on named public sources, chiefly Oracle and Swiss startup coverage, but lacks third-party market sizing or independent quantitative category benchmarks.
Competition and Substitutes
MIXED Axino appears to sit in a narrow operating gap between cold-chain monitoring incumbents, food-safety workflow software, and general IoT platform vendors, with its public positioning centered on automated core-temperature monitoring for refrigerated food rather than broad fleet telematics or generic sensor management [Startupticker.ch, March 2021] [Oracle] [Axino].
The public record is thin on named direct rivals, which matters because the company is selling into a procurement environment where buyers often compare a specific application against a bundle of adjacent alternatives rather than against a single category leader. On one side are established refrigeration and food-retail equipment vendors that already sell into supermarket operations, although the available sources do not identify which of those vendors Axino most often faces in live deals. On another side are software-led food-safety and compliance tools that can organize documentation but may not offer Axino's described combination of wireless sensing and AI-based core-temperature prediction; Oracle's case study and Startupticker's reporting both frame Axino's wedge as replacing manual product checks with remote monitoring and documentation support, which suggests the initial competitor is often a legacy operating process rather than a startup brand name [Oracle] [Startupticker.ch, March 2021].
Axino's clearest edge today is application specificity. Public sources consistently describe a system built for refrigerated food quality management, using connected sensors and predictive temperature modeling, and they tie that system to a named retail deployment with Migros, which Startupticker and Greater Zurich Area both cite as a collaborator or user by 2021 [Startupticker.ch, May 2021] [Greater Zurich Area, May 2021] [LinkedIn, retrieved 2026]. That kind of reference matters more than a generic IoT claim because supermarket buyers tend to care about calibration, compliance workflow, and store-level reliability. The durability of that edge is less certain. If the advantage rests mainly on domain tuning and deployment know-how, it can compound with more installations; if it rests mainly on sensor integration and dashboard software, larger industrial IoT vendors or refrigeration incumbents could absorb similar features over time [Oracle] [Axino].
The company's exposure is also fairly clear from the same evidence. Axino does not appear, from public reporting, to own a dominant channel into food retail, and its disclosed funding base looks modest relative to the breadth of use cases attached to the product narrative, from grocery to restaurants to logistics providers [Oracle] [Startupticker.ch, May 2021] [CB Insights, August 2025]. That leaves it dependent on proving a repeatable sales motion in a market where incumbents may already control equipment relationships and service contracts. Among named entities in the record, Oracle has the strongest structural advantage if infrastructure integration and enterprise procurement become the decisive buying criteria, even though Oracle is presented as a technology partner rather than a direct product competitor [Oracle]. By contrast, Momenta Ventures is an investor and strategic backer, not a market rival, so its presence supports access and credibility but does not solve distribution concentration on its own [Greater Zurich Area, March 2021] [Momenta].
The most plausible 18-month competitive scenario is a split market. Axino is a potential winner if retailers continue to buy point solutions that can show labor savings, lower spoilage, and auditable food-safety workflows at the refrigerated-case level, because the company's public references are strongest precisely at that operating layer [Oracle] [Greater Zurich Area, May 2021]. Oracle is the winner if large customers consolidate around broader cloud and IoT stacks and treat specialized monitoring applications as features inside a bigger enterprise architecture [Oracle]. Axino is the likely loser if that consolidation happens before it turns the Migros-style reference into a wider installed base, because the current public evidence shows one named customer relationship and financing support, but not a broad roster of disclosed deployments or a clearly owned channel [Startupticker.ch, May 2021] [CB Insights, August 2025].
Partially corroborated -- This section relies on a small set of public sources, with competitive positioning inferred from company, Oracle, Startupticker.ch, Greater Zurich Area, LinkedIn, and CB Insights materials rather than from named head-to-head competitor disclosures.
Opportunity
PUBLIC
The prize here is straightforward: if Axino can turn a proven refrigerated-food monitoring use case into standard operating infrastructure for large food retailers, the company could sit in the control layer for a compliance-heavy, waste-sensitive part of the food supply chain that still appears to rely heavily on manual checks today [Oracle] [Startupticker.ch, March 2021].
The headline opportunity is not that Axino becomes a general-purpose IoT vendor. The more credible upside, based on the public record, is that it becomes the default food-quality monitoring system for refrigerated retail operations in Europe, then extends into adjacent settings such as restaurants, logistics, and food production where the same temperature, compliance, and spoilage problem recurs [Oracle] [Startupticker.ch, March 2021]. That outcome is reachable rather than merely aspirational because the company has a named enterprise reference in Migros, described in public sources as Switzerland's largest retail company, and because its early financing came with backing from Momenta Ventures, an investor that has publicly framed Axino around industrial IoT and food quality workflows [Greater Zurich Area, March 2021] [Startupticker.ch, May 2021] [Momenta].
A few distinct paths could produce outsized scale from that starting point. The common thread is that each path depends less on consumer adoption and more on embedding into routine operating, compliance, and equipment-management processes that are expensive to reverse once installed [Oracle] [Axino, retrieved 2026].
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| European grocery standardization | Axino expands from a reference deployment into a multi-chain platform for refrigerated food monitoring across supermarket estates | A visible proof point with Migros, followed by procurement-led rollout logic inside other retailers facing food-safety and waste pressure | Public reports say the solution was used with Migros and had already been proven through that collaboration by 2021 [Greater Zurich Area, March 2021] [Startupticker.ch, May 2021] |
| Cold-chain compliance layer across retail, foodservice, and logistics | The company moves from store refrigeration into a broader compliance and documentation system used by grocery stores, restaurants, and logistics operators | Oracle infrastructure support and a product pitch centered on remote monitoring plus documentation, not just a point sensor | Oracle's case study describes Axino's systems as serving grocery stores, restaurants, and logistics providers, which suggests an adjacency map broader than one retail niche [Oracle] |
| Unified IoT control point for refrigerated assets | Axino uses the food-quality application as a wedge, then sells broader device connectivity and monitoring into refrigeration estates | Adoption of its wider connectivity stack across WiFi, GSM, Ethernet, LoRa, or mesh-linked devices | The company's public site describes a unified IoT platform with multiple connectivity options, which supports a plausible expansion from one application into a broader asset layer [Axino, retrieved 2026] |
The compounding mechanism would come from workflow entrenchment and model improvement, not from a consumer network effect. Each additional deployment can generate more sensor data on temperature behavior across products, refrigeration conditions, and operating environments, which in turn should improve Axino's ability to predict core-temperature compliance without invasive manual probing, a feature repeatedly emphasized in public descriptions of the product [Oracle] [Startupticker.ch, March 2021]. If the system also becomes the audit trail for food-safety documentation and the visibility layer for refrigeration equipment, replacement costs rise: retailers would need to swap sensors, retrain staff, and rebuild compliance reporting in one motion [Oracle] [Axino, retrieved 2026]. The fact pattern is still early, but the public evidence does show the beginnings of this loop, namely a real retailer deployment, a cloud infrastructure relationship, and a product architecture built around remote device connectivity rather than one-off handheld checks [Greater Zurich Area, March 2021] [Oracle] [Axino, retrieved 2026].
The size of the win is difficult to anchor precisely because the source set here does not include a third-party market-size study or a clean public comparable focused narrowly on refrigerated food-quality monitoring. Even so, one credible upper-bound framing is that a company that becomes core infrastructure for food-retail compliance and cold-chain visibility can grow beyond a niche hardware business into a recurring operations software layer with attached devices, which typically carries much more strategic value than a standalone sensor vendor [Oracle] [Momenta]. In that scenario, not a forecast, Axino could plausibly become an acquisition target for a large industrial, enterprise software, or food-retail technology platform seeking a foothold in automated food-quality management once it demonstrates repeatability across major chains. The current public record supports the logic of that outcome, though not a defensible valuation number, because it confirms the ingredients investors usually look for first: a narrow operational wedge, one named enterprise user, and investor support tied to the industrial IoT thesis rather than a consumer narrative [Startupticker.ch, March 2021] [Startupticker.ch, May 2021] [Greater Zurich Area, May 2021].
Partially corroborated -- This section relies on one to two public sources for most material claims, with corroboration across Startupticker.ch, Greater Zurich Area, Oracle, LinkedIn, and the company website, but no independent public market-sizing source or public financial metrics.
Sources
Open sources
[EU-Startups] Axino | EU-Startups | https://www.eu-startups.com/directory/axino/
[LinkedIn, retrieved 2026] Axino | LinkedIn | https://www.linkedin.com/company/axinoai/
[RocketReach, retrieved 2026] Werner Kratz, Lead IoT Consultant at Axino | RocketReach | https://rocketreach.co/werner-kratz-email_38721943
[CB Insights, August 2025] Axino financing profile | https://www.cbinsights.com/company/axino
[Startupticker.ch, March 2021] IoT foodtech startup secures first investment | https://www.startupticker.ch/en/news/food-as-a-service-startup-secures-first-investment
[Oracle] Axino helps keep food fresh with Oracle Cloud Infrastructure | https://www.oracle.com/customers/axino/
[Greater Zurich Area, May 2021] Momenta tops up investment in Axino | https://www.greaterzuricharea.com/en/news/momenta-tops-investment-axino
[Greater Zurich Area, March 2021] Momenta Ventures invests in Axino | https://www.greaterzuricharea.com/en/news/momenta-ventures-invests-axino
[SoundCloud] Stream #129 Ihab Hourani - CTO and Founder of Axino - Food Quality as a Service by The Digital Thread | https://soundcloud.com/momentapartners/129-food-quality-as-a-service-conversation-with-ihab-hourani-cto-and-founder-axino
[Startupticker.ch, May 2021] Additional capital for Axino | https://www.startupticker.ch/en/news/additional-capital-for-axino
[Crunchbase] Axino - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/axino-solutions
[Axino, retrieved 2026] Axino - A Truly Unified IoT Platform | https://axino.co/
[Momenta] Podcast #129: Food Quality as a Service | IIoT | https://www.momenta.one/insights/ihab-hourani-food-quality-as-a-service
[PitchBook] Axino 2026 Company Profile: Valuation, Funding & Investors | https://pitchbook.com/profiles/company/464234-59
Articles about Axino
- Axino's Wireless Sensors Are Predicting Food Spoilage Inside Swiss Supermarkets — The Swiss startup uses low-power wireless sensors and predictive AI to monitor refrigerated food core temperatures for retailers like Migros.