Kwe.li
VC Fund
Saint Gallen, Switzerland
Kwe.li is a VC fund in Saint Gallen focused on SaaS and Big Data. "kweli" is a Swahili word meaning "truth, honesty, candor", this is the core value underpinning all their dealings, whether with customers, partners or one another.kwe.li was founded as a limited liability company (GmbH.) according to Swiss law in February of 2010 in St.Gallen Switzerland. The founders Marcel Buob, MarcoPalatini, and Anton Hünermann sought to create a firm that mirrored their own principals of truth, honesty and candour. The founders had a long and successful history in the Enterprise Content Management space. They thus utilised their extensive knowledge of the space and network of contacts to kick-off a consulting practice within this space. With the deep technical pedigree the business was expanded to also provide general development services, particularly web based development.Since its launch kwe.li have continuously expanded their customer base, although the largest portion of its revenue base is from ongoing and repeat business. This is a proof of an exceptionally high level of customer satisfaction.The kwe.li core team is made up of a local group of very experienced consultants with a very broad range of technical and business skills.They supplement the core team with a near-shore development facility based in Romania. These developers are graduates from Canadian universities, they are thus extremely well qualified and can speak and write fluent English.They also regularly work with a group of trusted, highly specialised and experienced freelancers who supplement their team both in capacity and in providing additional specific expertise.
- Total investments:
- 1
- Last investment:
- Lead investor:
- 0%
Last updated:
For AI agents: llms.txt
Industries Kwe.li invests in
Stages Kwe.li invests in
Countries Kwe.li invests in
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Investment Focus
Industry
- SaaS 1 (100%)
- Big Data 1 (100%)
- Software 1 (100%)
- Employment 1 (100%)
- Government 1 (100%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
Anton Hünermann
Partner
|
Partner | Total investments: 0 | Find email |
Investments
| Company | Description | Round | Links |
|---|---|---|---|
| JANZZ.technology is a technology and consulting company active in semantic skills and job matching, solutions and applications for the use of complex occupation and skills data, and the development and marketing of economically sustainable projects.JANZZ.technology was originally founded in Zurich in 2008. It is a genuine Swiss company that sincethe start has been operated by serious investors and experienced personalities from the fields of information and communications technology, human resources, jurisprudence, marketing and business development. The goals of JANZZ.technology are clear: in addition to viable and sustainable business development, the company is strongly focused on ensuring that its products and solutions offer real economic and social benefit. Everyone should be able to benefit from JANZZ.technology, not only in Switzerland, but worldwide.JANZZ.technology launched its first product at the end of 2010: JANZZ.jobs, an innovative employment matching platform designed to reinvigorate labor and job markets, considerably improve on the systems previously used in portals of this kind, and optimize the operations of public employment services. Since 2013 three more, powerful SaaS B2B and B2G solutions were launched – JANZZon!, JANZZclassifier! and JANZZsme! – together with the simple, secure JANZZjobsAPI interface. These solutions, which are superior to conventional full-text-based technologies and applications, have been used in a variety of combinations and applications for structuring and efficiently and intelligently using the large volumes of data available today relating to professional qualifications and hard and soft skills (known as occupation data), as they increase rapidly in complexity.With its cutting-edge solutions, JANZZ.technology is taking a bold step to advance the new area of cognitive computing in the field of occupations and skills. The era of cognitive computing is characterized by a fundamental shift in how machines interact with us, other machines and the environment. The ontology JANZZon! and the smart matching engine JANZZsme! make complex problems such as job and skills matching computable and completely change the way they think and go about job searching. As the applications of JANZZ.technology are structured semantically, that is, occupations, skills and many more concepts are interlinked logically, they can deliver meaningful results for complex searches for job vacancies, employees, freelancers etc. Importantly, these applications constantly learn and therefore become more accurate over time. According to Gartner, the era of cognitive computing, also called the smart machine era will be the most disruptive in the history of IT. | $4.8M / Venture - Series Unknown / Apr 13, 2018 |
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FAQ
What does Kwe.li invest in?
Kwe.li invests primarily in SaaS, Big Data and Software startups, most often at Venture - Series Unknown stage. Most of the 1 investments tracked by Shizune back companies in Switzerland. The Investment Focus section breaks down every industry, stage and country in the portfolio.
How do I contact Kwe.li?
Public channels for Kwe.li include LinkedIn and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
Who are the partners at Kwe.li?
The team at Kwe.li includes Anton Hünermann (Partner). The Team section lists each member with their title, investment count and links.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Oct 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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