Foundation Models

The Secure Intelligence Engine for Life Sciences

DeLong Foundation Models is the premier hub for state-of-the-art artificial intelligence in biology. We bridge the gap between advanced machine learning and life science research by providing a unified, secure, and scalable platform for accessing the world’s most powerful bio-foundation models.

In an era where biological data is exploding in complexity, researchers face two critical challenges: the fragmentation of model tools and the privacy risks of sharing sensitive data. The DeLong Foundation Models module solves both by aggregating top-tier open-source and proprietary models into a single ecosystem, all powered by our confidential computing infrastructure.

Key Capabilities

1. A Curated, Multi-Modal Library

We don't just host models; we curate the industry standard. Our repository encompasses the full spectrum of biological scales:

• Proteomics: Structure prediction and protein folding (e.g., AlphaFold-style architectures, ESM).

• Genomics: Large language models (LLMs) specialized in DNA and RNA sequence analysis.

• Cheminformatics: Molecular property prediction, toxicity screening, and drug discovery optimization.

• DeLong Proprietary: Exclusive, high-performance models developed by Avinasi Labs for specialized bio-niches.

2. Privacy-First Inference (TEE)

Security is not an afterthought—it is our architecture. Every inference request runs inside a Trusted Execution Environment (TEE).

• Data Sovereignty: Your proprietary sequences and datasets utilize our compute power but remain encrypted in use. Even platform administrators cannot view your raw inputs or model outputs.

• Regulatory Ready: Designed to meet the stringent data protection standards required by pharmaceutical R&D and clinical research.

3. Unified Developer Experience

Gone are the days of managing conflicting dependencies and complex environment setups for different models.

• Standardized API: Access diverse models through a single, RESTful API compliant with the Model Context Protocol (MCP).

• Python SDK: Integrate powerful AI capabilities into your existing pipelines with just a few lines of code using delong-models.

• Interactive Playground: Test hypotheses instantly via our zero-code web interface.