About us

We are creating Analytics-as-a-Service solutions to aid diagnosis or therapy choices. We are primarily interested in the dual challenges of 1) earlier and more granular diagnosis and 2) improved therapy selection for individual patients.

We focus on narrowly defined situations where a clinical decision is “costly”, on account of requiring the generation, collation and processing of large volumes of complex data by highly-trained experts. Good examples for such scenarios include the diagnosis of autism based on a scripted interview or the detection of certain types of heart disease based on an echocardiogram.

For such cases we develop automated, scalable medical decision support systems that receive raw data and produce a recommendation for diagnosis or therapy. Our products are available as Analytics-as-a-Service, and regulated as medical devices.

Ultimately, our solutions help health care providers select therapies for individual patients that benefit them the most. If we do our job well, we improve patient care, increase the success rate of therapies and eliminate unnecessary cost associated with suboptimal therapy choices.

Technology

We build our Analytics-as-as-Service (AaaS) products using unique combinations of classical AI algorithms, modern deep learning approaches, computer vision, and statistical methods.

Our analytical engines are modular, based on reusable software modules, each module developed to produce or quantify some biomarker that is relevant to the decision support task at hand. We can rapidly develop new AaaS products by combining such modules to tackle a new clinical challenge.

Our analytics is embedded in an infrastructure that allows us to transmit and store medical information, and deliver results to health care providers in compliance with relevant laws, regulations and guidelines. Data never leaves our servers, as we don’t rely on third-party services, and it is always encrypted and subject to strict access control.

Our products are fully automated beyond uploading data to us. Therefore, our AaaS products are infinitely scalable and inexpensive to operate. Their output is always quantitative.

Products

Publications

Team

Argus Cognitive was founded in 2016 by computer scientists, psychologists and a medical device entrepreneur.

• Zoltan Toser (CEO) and Andras Lorincz (CSO) are computer scientists, specializing in machine learning.

• Mark Pollack, MD and Latha Soorya, PhD are a practicing psychiatrist and a clinical psychologist.

• Attila Meretei, MD has been developing medical devices for almost 20 years.

Our product development team is located in Budapest, Hungary.

We maintain a symbiotic relationship with the Neural Information Processing Group at Eotvos Lorand University, Budapest, Hungary, where we can test new technologies before including them in our development pipeline.

In cardiology we closely collaborate with various researchers in the US and Europe.

We are hiring

We are always on the lookout for talented people to join our team. We have openings in the following positions:

• computer scientist with a machine learning background

• software engineer (our technology stack is mostly built around Scala, Python, and Typescript)

• sales engineer (USA)

• system administrator

Our team is geographically dispersed, present in four continents, so provided you have excellent communication skills, remote work is feasible. Needless to say, good English is a must.

If all this sounds interesting, or you would like more info, don't hesitate to reach out to us at info@arguscognitive.com.

Contact

We have a lot more to say about the company and the team, the unmet need, the market, our technology and products, clinical results and regulatory plans and opportunities in other fields of medicine. If you are interested in a dialogue, collaboration or joining our team, please reach out to us. Thank you!