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GeneNet Technology

Genenet Technology develops proprietary gene circuit designs by integrating deep learning algorithms to mimic artificial neural networks. This novel biocomputing method enables advanced control over gene expression for applications in synthetic biology and bioproduction. The company provides genetic circuit design services, R&D consultation, and technology licensing for drug discovery, cell and gene therapy, and organoid-on-chip research.

Traction –/10
London, United Kingdom · HQ
9300+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Biotechnology
  • Hardware
Updated 5 months ago

Funding

Funding rounds are not available yet.

Founders

1 founder

Leo Seak

CEO / Founder

Product

Problem

Designing and implementing complex genetic circuits for biological applications is a time-consuming and resource-intensive process. Traditional methods often rely on simplified logic gates, limiting the sophistication and predictive power of engineered biological systems. This bottleneck hinders advancements in areas like drug discovery and cell-based therapies.

Solution

GeneNet Technology provides an AI-driven platform for the design and licensing of advanced genetic circuits. Our proprietary algorithms leverage deep learning, specifically artificial neural networks, to create gene circuits that mimic complex computational functions. This approach enables precise control over gene expression and cellular behavior, moving beyond basic Boolean logic to facilitate sophisticated biological engineering. We offer these capabilities as a service and through technology licensing to accelerate research and development for our partners.

Target Audience

Our primary customers are pharmaceutical companies, biotechnology firms, and contract research organizations (CROs) engaged in drug discovery, cell and gene therapy development, and advanced biological research.

Features

  • AI-powered de novo genetic circuit design utilizing artificial neural networks (ANNs) to enable complex biological computation.
  • Mimics deep learning architectures for advanced regression and classification of biological inputs and outputs.
  • Offers genetic circuit design services for customized solutions.
  • Provides patent licensing for proprietary gene circuit technologies.
  • Applications include high-throughput drug discovery, cell line development, and organoid-on-chip research.
  • Development of CHO cell-based bioproduction platforms.
  • Next-generation gene sequencing kits.
  • AI-powered analytics for biological data interpretation.
  • Expertise in synthetic biology and gene circuit engineering.
This profile is AI-generated and may contain inaccuracies.