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Sigmind

An intelligence-based application that calculates objetive and quantitive metrics from a patient’s speech.
2018
02-Oct
02-10
Buenos Aires, Distrito Federal, Argentina
  • Drug Discovery and Development
  • Personalized Medicine Technologies
  • Services (Patient care)

Innovation

Industry Problem

Psychiatric treatment often relies on trial-and-error prescribing because biological differences between patients are not routinely used to select therapy.

R&D Focus

AI-assisted target discovery and drug development

Innovative Solution

That is why in Sigmind we are revolutionizing clinical psychiatry through the development of the first -laboratory analysis of the mind. Therefore, with our algorithms we are helping psychiatrists to improve the accuracy and efficiency of mental disorders diagnosis, treatment, and follow-up with an intuitive, quantitative and objective Artificial Intelligence-based toolbox that calculates metrics from patient’s speech.

Solution Effectiveness

It represents an increase in the probability of achieving satisfactory results saving about 20% of R&D costs and reduce the risks for patients in clinical trials.

Investment Funding

Last Funding Stage

Grant

Total Funding Amount

50.K

Last Funding Amount

50.K

Last Funding Date

01-02-2019

Lead Investors

Start-Up Chile

Revenue

Less than $1M

People

Founders

About

We’re convinced that psychiatry needs a new way in which things are done. It’s a branch of medicine that is far behind the other ones. That is why in Sigmind we are revolutionizing clinical psychiatry through the development of the first “laboratory analysis of the mind”. We believe that people’s speech is the window to their mental health. Therefore, with our algorithms we are helping psychiatrists to improve the accuracy and efficiency of mental disorders diagnosis, treatment, and follow-up with an intuitive, quantitative and objective Artificial Intelligence-based toolbox that calculates metrics from patient’s speech. On the other hand, we seek to pave the way for precision medicine in psychiatry. Our Machine Learning classifier, boosting by NLP, helps improve the accuracy of a new drug or treatment in new patients with mental disorders. It consists of custom modules to assess a patient’s likelihood to respond to different pharmacotherapies. It represents an increase in the probability of achieving satisfactory results saving about 20% of R&D costs and reduce the risks for patients in clinical trials.

Products

Demo Product or Complete Product?

Clinical-stage

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