Introduction to BioLM

What Is BioLM?

BioLM is a platform for building, deploying, and using biological language models for molecular discovery.  It provides researchers and developers with tools to generate, predict, and analyze biomolecular sequences using modern AI techniques.

Overview

BioLM brings together model serving, data management, and workflow automation into a single, integrated environment.

You can run models through a graphical web console or programmatically through the SDK and API.

The platform is designed to make model-driven molecular design accessible, reproducible, and collaborative.

Key Capabilities

• Predict: Run pretrained models to evaluate or score biological sequences.
• Generate: Use generative models to design new protein or DNA sequences.
• Encode: Convert sequences into embeddings for analysis or downstream ML tasks.
• Finetune: Train custom models using your own labeled data.
• Protocols: Automate multi-step modeling workflows for reproducible experiments.
• Notebooks & Volumes: Run preconfigured Jupyter environments and store data persistently.

Who It’s For

BioLM is built for scientists, bioinformaticians, and developers who want to integrate machine learning into biological research.

It supports both interactive exploration and production-scale workflows, with plan options for individuals, teams, and organizations.

Why Use BioLM

• Unified Interface: Work with models, data, and results in one place.
• Reproducibility: Standardized model tracking and versioned workflows.
• Scalability: Cloud-based compute and storage that grow with your projects.
• Extensibility: API-first design that integrates with external tools and pipelines.