No more excuses for data privacy violations!
We’re excited to introduce JANZZanonymizer!—the game changer for handling large volumes of personal data, especially CVs and resumes.
We’re excited to introduce JANZZanonymizer!—the game changer for handling large volumes of personal data, especially CVs and resumes.
On November 6, Mr. Nguyen Thanh Ha, the vice chairman of the provincial people’s committee, met with the founder of JANZZ.technology (Switzerland) to discuss the pilot implementation of the JANZZilms! Integrated Labor Market Solution project. According to Stefan Winzenried, the CEO of JANZZ.technology, the company proposed a plan to implement the pilot project in Khanh Hoa.
On the morning of November 6, Mr. Nguyen Thanh Ha, Vice Chairman of the Khanh Hoa Provincial People’s Committee, met with Mr. Stefan Winzenried, founder and CEO of JANZZ.technology (Switzerland), to discuss the proposal to pilot the JANZZilms! Integrated Labor Market Solution Project in the province.
On the morning of September 29, Vice Chairman of the Provincial People’s Committee Ngo Vu Thang had a meeting with Mr. Stefan Winzenried – Founder, CEO of JANZZ Company and Ms. Pham Quy Ly, Director of Market Development, representative of JANZZ.technology Company (Switzerland) on the pilot implementation of the project “Integrated Labor Market Solutions – JANZZilms!”.
On the morning of September 29, Vice Chairman of the Provincial People’s Committee Ngo Vu Thang chaired a working session with the delegation of JANZZ.technology Company (Switzerland) on human resource development and digital labor market construction.
June 17, 2025—JANZZ, a global leader in AI-powered human resources technology, has been listed as a trusted Sample Vendor in Gartner’s prestigious Hype Cycle for AI in Human Resources, 2025. This recognition underscores the company’s continued innovation and market leadership in artificial intelligence applications for talent acquisition and workforce development.
The inclusion in Gartner’s Hype Cycle marks a tradition: JANZZ has been recognized by the world’s leading research and advisory company in 6 different publications. For the first time in 2020, JANZZ was chosen as a Sample Vendor for Skills Ontologies (listen to Podcast) in Gartner’s Hype Cycle for Human Capital Management Technology, highlighting the company’s semantic approach to HR technology solutions.
“Being repeatedly selected among the most trusted vendors by Gartner validates our ongoing investments in product development and innovation,” said JANZZ spokesperson Doris Hofer. “This recognition from the sector’s most respected authority confirms that our AI-driven solutions are meeting the evolving needs of modern governments and businesses.”
Gartner’s research indicates that by 2025, 60% of enterprises will adopt a responsible AI framework for their recruitment procedures. However, Jeff Freyermuth, Director Analyst in the Gartner HR practice, cautioned that “most of the innovations haven’t lived up to their overinflated hype,” emphasizing the importance of carefully evaluated technology adoption.
The Gartner Hype Cycle serves as a crucial decision-making tool for organizations planning to upgrade their recruitment systems. It provides an objective assessment of emerging technologies, helping companies understand the real risks and opportunities of innovation while avoiding premature adoption or delayed implementation. According to Gartner, innovations typically require 3–5 years to move through the full Hype Cycle, with some technologies falling off entirely during this maturation process.
What distinguishes JANZZ in the competitive landscape is its comprehensive multilingual skills ontology JANZZon!—the most extensive in the world. While many providers claim to offer ontologies suitable for AI applications in talent acquisition, JANZZ’s solution goes beyond simple skill libraries to establish contextual understanding when matching skills to job requirements.
This semantic capability addresses a critical gap in the market, where inadequate matching technologies can lead to missed top talent and suboptimal hiring decisions (watch on YouTube). The company’s approach ensures accurate skill-to-job matches across multiple languages and cultural contexts.
JANZZ’s technology platform demonstrates its commitment to global scalability and data security. The company’s ISO 27001-certified solutions are fully compliant with GDPR and CCPA regulations, while supporting over 60 languages. This extensive language support reflects JANZZ’s understanding of regional labor market characteristics and cultural nuances in different geographical areas.
JANZZ.technology utilizes advanced semantic technologies to parse, classify, and match various professional attributes, including occupations, job titles, qualifications, hard and soft skills, experiences, education, and training credentials. This comprehensive approach enables rapid matching of candidates with open positions across multiple languages and platforms.
JANZZ specializes in AI-driven recruitment solutions that address the unique characteristics of labor markets across different regions. The company’s secure, cloud-based solutions and white-label products serve businesses and governments worldwide, helping organizations identify top talent efficiently while supporting economic development and workforce optimization initiatives.
For more information about JANZZ’s AI-powered human resources solutions, contact JANZZ and book a call to explore your hiring needs.
In this new episode of our Uncovers Series, we clarify what matching really means and the key factors that ensure a quality match in HR.
The challenge of matching individuals with jobs has persisted for decades, and it remains a colossal issue. Despite numerous attempts to find a solution, nearly all existing options fail miserably—not just underperforming, but outright ineffective. The results are often absurd or laughably inadequate, even on global platforms like LinkedIn, which boasts millions of users and vast amounts of data. How is it possible that a platform with such extensive user data struggles to connect people with suitable jobs? Why do other major platforms and HR systems continue to send us the same ridiculous recommendations without making any real progress?
The answer lies in the outdated methods these platforms and systems employ. They rely on antiquated techniques that have never truly worked. They use keywords and algorithms that cannot hope to capture the complexity of human personality or the nuanced requirements of a job. They lack contextual understanding, are utterly illiterate when it comes to semantics, and, unfortunately, have little to no grasp of the subject matter. To make matters worse, they often operate with illegal, highly biased training data and are typically oblivious to their astonishingly poor results. Surely, they would have changed their approach long ago if they were aware.
But there is an alternative: JANZZsme! This patented solution is already utilized worldwide in over 60 languages, assisting millions of people daily in finding the right jobs. JANZZsme! is built on a patented, unique methodology that genuinely honors the concept of matching.
If you’re tired of the daily nonsense and the ridiculous outcomes, take a few minutes to watch this video. We promise you’ll learn everything you’ve always wanted to know but were afraid to ask. JANZZsme! is the solution you’ve been searching for. It’s time to revolutionize the matching of people and jobs and usher in a new era in global job markets.
Feel free to reach out to us; we’d be delighted to showcase the capabilities of JANZZsme! in a live demo.
Largely spurred by the success of ChatGPT, governments worldwide are finally attempting to find a way to regulate AI.
We are excited to announce that Trond Henning Olesen will be joining JANZZ.technology as our new VP of Customer Integration and Solution Sales, based in San Francisco. He will be responsible for all accounts in the Americas, EMEA and Asia.
Trond is a highly experienced strategist, technologist, and startup enthusiast. Leveraging over 20 years of global experience in leadership and sales in the tech industry, as well as a PhD in Computer Science, Trond brings an impressive track record of successfully building customer-facing teams, launching new ventures, and delivering operational impact.
Throughout his career, Trond has built businesses from startup to successful IPO, achieved top growth, turnarounds and high customer satisfaction in diverse market conditions. He has also delivered major accounts and managed complex large projects across the globe, as well as effectively leading teams to bring about fundamental changes and improvements in strategy, process, and customer focus. With his extensive technical and business expertise, Trond has consulted for companies such as LinkedIn and Purisma, personally coaching C-level personnel and assisting them in improving their organization, processes and people. Most recently, he co-founded and served as CTO of Silicon Valley startup VeraScore, managing the technical team, participating in development and being the technical lead on all sales efforts.
Trond is enthusiastic about the highly performant AI-driven job matching technology and labor market solutions offered by Swiss-based JANZZ.technology to businesses and government institutions around the world. In these times of major structural changes of the labor market, Trond is energized by the opportunity to work with global clients to provide them with perfectly tailored digital solutions for effective talent and labor market management.
“With his deep blend of a strong technical background and expertise in strategy and customer success, Trond is an outstanding addition to our team,” states Stefan Winzenried, CEO of JANZZ.technology. “As we continue to deliver quality, cutting-edge solutions, Trond will accelerate JANZZ’ growth and strengthen our mission to better serve our clients. We are thrilled to have him on board.”
Despite improvement, there will still be a significant gap between supply and demand of healthcare staff by 2029 in Switzerland, according to the national 2021 report on future healthcare staff needs, published by the Swiss Health Observatory in September.
The report estimates that by 2029, the personnel demand in the healthcare sector may rise to 222,100. Compared to a base number of 185,600 recorded staff in 2019, an additional number of 36,500 staff will be required. To fill these additional positions, as well as to compensate for those who retire and leave the industry early, presents an enormous challenge to the next generation of health workers. The report further stated these jobs remain difficult to fill mainly due to demographic and epidemiological developments.
The growing need for qualified healthcare professionals is not specific to Switzerland, a trend can be seen around the globe, and it is not a recent trend. Back in 2016, World Bank published the research on Global Health Workforce Labor Market Projections for 2030. It predicts that global health workers’ demand will increase to 80 million, with a supply of 65 million health workers over the same period, resulting in a global shortage of 15 million health workers.
In a previous article, we have also discussed the shortage of healthcare professionals in the Swiss labor market (see Switzerland 2030: The risks and opportunities of digitization). Today, due to the effects of the global pandemic, it might have impacted the situation negatively. The pandemic has brought renewed attention to the frightening shortage of health workers, but remember, this extraordinary situation existed long before the Covid-19.
The same pattern is clearly evident in some other industries and occupations (see Free movement of skilled workers in the EU and beyond are more important than ever), with fewer and fewer young people willing to learn such skills. It is a basic problem and therefore, needs some fundamental changes to effect sustainable action. Share with us your thoughts and let us know your opinion on this topic.

JANZZ Ltd
Nidelbadstrasse 6
8038 Zurich
Switzerland
T: +41 43 499 71 04
info@janzz.technology
