D
Decentriq
A Switzerland-based enterprise SaaS platform providing data clean rooms and a founding member of the Confidential Computing Consortium including Microsoft, Google, Facebook and Intel
About Decentriq
Decentriq AG, a Swiss-based enterprise Software-as-a-Service (SaaS) company, was founded in 2019 by Maximilian Groth, Stefan Deml, and Alexander Katz. The founders' journey began while working together in the telecommunications data sector, where they identified a critical market need for secure data collaboration. They recognized that vast amounts of sensitive data remained locked within organizational silos due to privacy, security, and compliance concerns. This firsthand experience directly shaped Decentriq's mission: to create a neutral, trusted environment for data collaboration, earning it the moniker "The Switzerland of Data".
Read full description
The company operates in the data security and analytics market, offering a platform centered around "Data Clean Rooms." These are secure, cloud-based environments where multiple organizations can collaborate on and analyze sensitive datasets without ever exposing the raw data to each other, to Decentriq, or even to the cloud provider. This is achieved through the application of advanced privacy-enhancing technologies (PET), most notably confidential computing, which ensures data remains encrypted even while being processed. The platform is built on technologies like Microsoft Azure Confidential Computing and Intel's SGX architecture.
Decentriq's business model is based on providing its platform as a service. It serves a wide range of industries that handle highly sensitive information, including healthcare and life sciences, media and advertising, financial services, and the public sector. Clients, which range from startups to large enterprises like pharmaceutical companies and banks, use the platform to unlock new insights. For example, advertisers and publishers can combine their first-party data to create precise audiences in a post-cookie world, and healthcare institutions can collaborate on patient data for research without compromising privacy. The platform is designed for accessibility, featuring a no-code interface for business users and supporting Python and R for data scientists who require more advanced analytical flexibility.
Since its inception, the company has achieved significant milestones, including raising a total of $25 million over three funding rounds. This includes a $3.8 million seed round in 2020, a $15 million Series A in March 2022 led by Eclipse Ventures, and a $5 million venture debt round in November 2022. Decentriq is also a founding member of the Confidential Computing Consortium, alongside technology giants like Microsoft, Google, and Intel, underscoring its position in the field.
At a glance
- Status
- Operational
- Founded
- 2018
- Headquarters
- Zurich, Switzerland
- Employees
- 26
- Open positions
- None listed
- Dealroom signal
- 63.3/100
- Industry
- Security
- Sub-industry
- Data protection
- Sector
- Cybersecurity, Privacy Protection, Core AI, Spinout, Space Tech, Insurtech Related
- Technology
- Blockchain, Artificial Intelligence, Big Data, Deep Tech, Machine Learning
- Business model
- SaaS
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| GRANTOther financing | Apr 2023 | $0 | — | Innosuisse | ↗ |
| DEBT✓Debt | Nov 2022 | $5M | — | Silicon Valley Bank | ↗ |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for Decentriq is 20 monthly website visits, down 81.8% over the last three months. Decentriq's team declined 7.1% over the past year.
Similar companies
Company identity and context are open; selected comparison metrics preview what is available on the platform.
| Company | Headquarters | Status | Employees | Total funding | Valuation |
|---|---|---|---|---|---|
InpherPrivacy-preserving computation for secure AI and machine learning |
New York City, United States | Acquired | 5 | $18M | $17M |
ObliviousThe privacy-centric technologies company. |
Dublin, Ireland | Operational | |||
Neural ConceptAI intelligence layer for engineering product development. |
Lausanne, Switzerland | Operational | |||
CosmianUbiquitous Encryption for Privacy-by-default: secure big data repositories, run confidential computations |
Paris, France | Operational | |||
AdaptixPortable, low-dose 3D X-ray imaging systems |
Oxford, United Kingdom | Acquired | |||
LightlyData curation company for machine learning that helps companies build better models through better data |
Zurich, Switzerland | Operational | |||
IdaeroDevelops advanced engineering software focused on automation and digitalization |
Madrid, Spain | Operational | |||
Latitudo 40AI-powered satellite imagery analytics for climate resilience |
Naples, Italy | Operational |
Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Series A2 investors entered at this stage
MassChallenge
Eclipse Ventures
Series B and later1 investor entered at this stage
Other known investors7 additional known investors
ESA BIC Switzerland
University of St.GallenAtlantic Internet
Marcus Ruebsam
Plug and Play
Pratima Aiyagari
StartX
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about Decentriq on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
See Decentriq’s full profile on Dealroom
Request a free trial to see the complete deal history, financials, people graph and growth signals.
Takes under a minute. Already use Dealroom? Log in.












