Tetricuslabs

Tetricuslabs

Crafting the future of precision psychiatry. Learn more

Launch date
Employees
Market cap
-
Enterprise valuation
AUD618—927k (Dealroom.co estimates Feb 2023.)
Connecticut United States (HQ)

Financials

Estimates*

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Revenues, earnings & profits over time
USD2023
Revenues<1m
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DateInvestorsAmountRound
*

$100k

Seed
*

N/A

Seed
Total FundingAUD155k

Recent News about Tetricuslabs

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Tetricus Labs is an innovative health tech startup focused on revolutionizing mental health care through the use of computational neuroscience and machine learning. The company aims to create a new entry point for mental health services, making them more accessible and effective. Tetricus Labs leverages advanced technologies such as Python, TensorFlow, and PyTorch to develop machine learning solutions that can better diagnose and treat mental health conditions.

The primary clients of Tetricus Labs include healthcare providers, mental health professionals, and research institutions. These clients benefit from the company's cutting-edge tools and data-driven approaches to improve patient outcomes. By integrating computational neuroscience with machine learning, Tetricus Labs provides more precise and personalized mental health care solutions.

Operating in the health technology market, Tetricus Labs stands out by combining scientific research with practical applications. The company’s business model revolves around developing and licensing its proprietary software and tools to healthcare providers and institutions. Additionally, Tetricus Labs may offer consulting services to help organizations implement and optimize their mental health care solutions.

Revenue is generated through software licensing fees, consulting services, and potentially through partnerships with healthcare organizations. By focusing on precision psychiatry, Tetricus Labs aims to address the growing demand for effective mental health care solutions, positioning itself as a leader in this emerging field.

Keywords: health tech, mental health, machine learning, computational neuroscience, precision psychiatry, Python, TensorFlow, PyTorch, software licensing, data-driven.