Über Bluenaut

Die Bluenaut Matching Services AG betreibt digitale Marktplätze, auf welchen Sucher und Anbieter von spezialisierten Dienstleistungen zielgenau zusammengeführt werden. Mittels eines patentierten systemgestützten Matchings von individuellen Sucher-Bedürfnissen zu passenden Anbieter-Profilen gelangen Nachfrager in Kontakt mit den richtigen Anbietern, und Anbieter können sich neuen Kunden präsentieren und Aufträge gewinnen.

 

Branchen-Partner

Die Bluenaut Matching Services AG arbeitet für die einzelnen Branchen-Plattformen jeweils mit Fachvereinigungen und Branchenführern zusammen. Dazu gehören:

MAIVAN.ai Medical AI Validation Network

ERMOS Foundation – European Research Foundation for Mobility and Orthopaedic Surgery

 

Health Innovation Hub Aargau

 


EXPERTsuisse

Zürcher Anwaltsverband

Regent Lighting

V-ZUG

 

Technologie-Partner

Salesforce – Google CloudNVIDIA

 

 

Nexum & IdealTeam.Group

 

 

 

 

 

 

 

Impressum, Marken- und Patentschutz

Advonaut, Taxonaut und Archinaut sind Services und eingetragene Marken der Bluenaut Matching Services AG.

Konzept und Software sind urheber- und patentrechtlich geschützt.

Bluenaut Matching Services AG
Bächlerstrasse 30
CH – 8802 Kilchberg ZH

info@bluenaut.com

www.bluenaut.com

Geschäftsführer: RA Dr. Thomas Morscher

Handelsregisternummer: CH-280.3.012.371-1

UID: CHE-114.647.875

Mehrwertsteuernummer: CHE-114.647.875 MWST

The Science and Economics behind Bluenaut’s Matching Services

Finding the right partner rarely happens instantly. Whether a business is searching for legal counsel, a patient is seeking a specialist for a second medical opinion, or a company is looking for the ideal supplier — valuable relationships are lost every day simply because the right parties never connect. Economists call the forces that prevent these connections market frictions, and eliminating them is the core mission of Bluenaut and its platforms.

A Nobel Prize-Winning Foundation

Bluenaut’s matching algorithm is built on search and matching theory, a mathematical framework developed to explain how mutually beneficial relationships form between parties searching for one another in imperfect markets. The economists who laid its foundations — Peter Diamond, Dale Mortensen, and Christopher Pissarides — were awarded the Nobel Prize in Economics in 2010 for their contributions. Their model, known as the DMP framework, demonstrates that in any market where search is costly and information is incomplete, a well-designed matching mechanism creates substantial economic value — for both sides of the match.

While the DMP framework was originally developed to study labor markets, its insights are universal. Bluenaut applies it across two distinct and high-stakes domains: professional legal services and specialized medical care.

Legal Matching: Advonaut.ch

In a traditional market, finding the right lawyer requires calling multiple firms, assessing availability, verifying expertise, and negotiating fees — a process that is time-consuming and opaque for clients, and costly for attorneys seeking new mandates. These are precisely the frictions the DMP model identifies and seeks to resolve.

Advonaut.ch acts as a matching function in the DMP sense: it centralizes available legal specialists and incoming client cases in one place, dramatically reducing search time for both parties. Clients describe their situation within structured legal categories — such as Family Law, Contract Law, or Road Traffic — ensuring that matches are based on genuine expertise, not just availability. For attorneys, the platform replaces expensive and unpredictable client acquisition with a low, flat response fee, making the cost of entering the market transparent and manageable.

Once a match is made, the platform’s competitive structure — where multiple qualified lawyers can respond to a single inquiry — mirrors the Nash Bargaining dynamic of the DMP model, helping establish a fair market price for each specific mandate. The platform also monitors the ratio of inquiries to available specialists, preventing congestion and ensuring the system remains balanced and responsive.

Medical Matching: Zweitmeinungen.ch and OSSOcare.ch

In healthcare, the stakes are higher and the frictions are more acute. A patient seeking a specialist second opinion faces an extreme information gap: they may not know which subspecialty applies to their diagnosis, let alone which expert is best placed to assess it. The cost of a poor match is not merely inconvenient — it can be life-altering.

Zweitmeinungen.ch and OSSOcare.ch apply the DMP framework to this high-stakes environment. Medical coordinators review patient records, imaging, and clinical questions before any match is made, acting as information intermediaries that eliminate noise from the search process. This ensures that specialists — a genuinely scarce resource — receive only fully prepared, relevant cases, reducing their administrative burden and keeping them actively engaged in the platform’s network.

Trust plays a structural role here that goes beyond a typical business transaction. To remove the bargaining friction identified in the DMP model, these platforms partner with Swiss insurers, offering fixed or covered fees. This shifts the focus entirely to the quality of the match rather than its cost. Inquiry distribution across a vetted specialist network also prevents congestion at high-demand centres such as university hospitals, shortening the time patients spend in diagnostic uncertainty.

Across all domains, the principle is the same: markets work better when search is cheaper, information is clearer, and matches are made with precision. That is the science & economics behind Bluenaut.

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