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1910 Genetics

1910 Genetics utilizes a multimodal AI platform that integrates computational data, wet lab proxy biological data, and wet lab ground truth biological data to enhance drug discovery for small and large molecules. The company focuses on delivering novel drug candidates for neurological, autoimmune diseases, and cancer while providing software solutions to pharmaceutical and technology partners.

Traction 10/10
Boston, United States · HQ
Founded 2018373K+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Biotechnology
  • Software Only
Updated 23 months ago

Funding

Raised to date

$25.8MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

2 founders

Jen Nwankwo

Founder/CEO

Helen Liang

Founder/Managing Partner

Product

Problem

Drug discovery is a complex and time-consuming process, often hindered by the limitations of traditional methods in effectively integrating diverse data types and predicting drug efficacy. Existing approaches struggle to efficiently identify promising drug candidates for complex diseases like neurological disorders, autoimmune conditions, and cancer.

Solution

1910 Genetics offers a multimodal AI platform designed to accelerate and enhance drug discovery for both small and large molecules. The platform uniquely integrates computational data, wet lab proxy biological data, and wet lab ground truth biological data to improve the accuracy and efficiency of identifying novel drug candidates. By combining these data streams with laboratory automation, the platform aims to deliver promising therapeutic options and software solutions to pharmaceutical and technology partners. This integrated approach enables the company to advance its internal pipeline, focusing on developing treatments for neurological, autoimmune diseases, and cancer.

Target Audience

The primary target audience includes pharmaceutical companies, biotechnology firms, and research institutions seeking to leverage AI and automation to improve their drug discovery processes.

Features

  • Multimodal AI platform integrating computational, wet lab proxy, and wet lab ground truth biological data
  • Laboratory automation for efficient data generation and validation
  • CANDID-CNS™ AI model for blood-brain barrier permeability prediction
  • Capabilities for both small and large molecule drug discovery
  • Internal pipeline focused on neurological, autoimmune diseases, and cancer
This profile is AI-generated and may contain inaccuracies.