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2024-03-12

Headquarters

Austin, TX

Employee Count

10

Year Founded

2021

Amount raised

$2.12 million

Business model

B2B; Upfront payment for early discovery and then progressively increasing milestones as drug assets progress through each phase of clinical development, plus a royalty if approved.

Early traction

3 industry co-development partnerships and 2 academic collaborations.

Setting the Scene
  • Traditional drug discovery methods are slow, expensive, and have high failure rates.

    • The average drug discovery takes 10-15 years.

    • The economic burden exceeds more than $655B annually.

    • The failure rate of drugs for neurodegenerative diseases is about 99%.

  • This week’s company leverages AI to identify targets of neurological diseases and generate drug candidates.

In a Sentence

NeuroX1 utilizes AI to identify drivers of neurological diseases to improve the drug discovery process.

  • Drivers: The platform analyzes biological data to uncover underlying causes behind brain diseases.

  • Discovery: NeuroX1 designs computational compounds, potentially speeding up the time consuming process of drug discovery.

Bulleted Version

Similar to how Waze analyzes traffic for route optimization, NeuroX1 analyzes biochemical data to find the quickest route to drug discovery.
Due Diligence
What We Like
  • Market Opportunity: The neurological disorder drugs market is expected to grow nearly 5% annually due to the rising prevalence of diseases among aging populations and demand for treatments.

  • Drug Discovery: NeuroX1's use of generative chemistry dramatically shortens the time and reduces the cost needed to find new drugs, representing a major leap forward in medicine development.

  • Innovative Business Model: The company’s B2B model, which combines upfront payments with milestones and royalties, aligns incentives across the drug development process while fostering innovation.

Potential Risks
  • AI Hallucinations: Like other advanced algorithms, NeuroX1’s platform might generate chemically valid but biologically unproven structures, potentially leading to redirected research paths and careful client expectation management.

  • Non-Recurring Revenue: While NeuroX1 has an innovative monetization model, its dependence on performance could delay unrealized annualized revenue.

  • Algorithm Overlap: If NeuroX1's AI learns and adapts from multiple lab projects simultaneously, there's a risk that one project's discovery process could inadvertently influence another's, diluting the exclusive value of expensive, proprietary research for organizations.

Founder Profile
MD
Max Dordevic, CEO
Former CEO of Veritas Innovation and life science researcher.

LM
Lucas Myers, CTO
Software engineer with a background in applied math, healthcare data pipelines, infrastructure, and product management.   

CM
Conner Myers, PhD,, CIO
: Physicist and high-performance computing expert, specialized in GPU acceleration of physics simulations at Lawrence Livermore and Sandia National Labs.

WhyNeuroX1

By slashing costs, speeding up development, and boosting the success rate of finding new treatments for brain disorders, NeuroX1 could be the necessary cure for the pharmaceutical industry.

*Nothing in this content constitutes investment or legal advice. Conduct independent diligence and consult professional advisers before making investment decisions.*

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