The GenAI hub for biotech

Predict. Explain. Generate

Converge is at the forefront of integrating Generative AI with biological data. Our mission is to empower biotech and pharmaceutical companies to discover and develop more effective drugs faster, utilizing the power of Large Language Models (LLMs) specifically trained on biological languages.

Predict

Explain

Generate

Predict molecule
functionality

Our use cases

Small molecule optimization

Optimize binding affinity, stability, pharmacokinetic profiles, and various other essential functions for small molecules in your pipeline by utilizing the advanced capabilities of the Converge GenAI platform.

Generate  antibodies

Enhance the therapeutic potential of antibodies by increasing specificity, reducing immunogenicity and improving compatibility with the human immune system, leading to safer and more effective treatments.

Discover new targets

Revolutionize drug development by conquering the critical bottleneck of target discovery. Utilize the Converge platform and its advanced algorithms to accelerate breakthroughs in identification of druggable targets.

Design vaccines

Transform the landscape of infectious disease prevention by enabling rapid development, high efficacy, and adaptable responses through the optimization of mRNA vaccine technologies.

Identify new biomarkers

Connect observed phenotypes with their underlying molecular causes to enable more effective drug development. Identify biomarkers driving phenotypes of interest to optimize clinical trial design.

Engineer novel proteins

Create tailored proteins with enhanced efficacy, specificity, and stability. The Converge platform facilitates the rapid screening of protein candidates and the creation of novel proteins, tailored to meet a wide range of applications.

How it works

Our platform offers a bio-LLM library with foundational models across all biological languages. These models are enhanced with curated data and fine-tuned on task-specific datasets, then deployed through an application layer focused on prediction, explainability, and generation.

Bio LLM library