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Company description
DeepChain is an AI-powered life sciences R&D platform built on InstaDeep's leading AI research, delivering proven solutions that address the toughest challenges in drug discovery, genomics, proteomics, therapeutics, agriculture, and industrial biotechnology. The platform is designed to accelerate meaningful, scalable scientific discovery and innovation with minimal setup, customizable workflows, and an integrated AI assistant named Laila.
DeepChain serves a broad range of life sciences industries, including pharmaceutical and biotech organizations optimizing therapeutics R&D and advancing diagnostics development, agricultural companies leveraging genomics foundation models to transform crop research, and industrial biotechnology teams applying AI to advanced applications. The platform's state-of-the-art foundation models support end-to-end workflows across genomics, proteomics, drug discovery, and therapeutics.
Key AI Models and Products
- AbBFN2 (Antibody Bayesian Flow Network): A generative framework for antibody design with integrated, multi-objective modeling. It generates diverse and developable antibody candidates, consolidates complex design tasks in a single framework, and allows users to interactively steer outputs with user-defined conditions.
- ProtBFN: Explores the proteome using Bayesian Flow Networks to design novel, biologically plausible protein sequences. It supports sampling and evaluating proteins with a full joint distribution over sequences and allows conditioning on motifs, regions, or functional properties.
- Protein Folding: Enables folding of proteins and ligands at scale. Users can access and compare state-of-the-art folding models and advanced algorithms, leverage high-throughput batch processing with real-time monitoring, and find correlates and insights from experimental data to guide design decisions.
- InstaNovo and InstaNovo+: Refines peptide sequencing using transformer and diffusion-based generation. The tool sequences peptides without reference databases, discovers novel or modified peptides with high confidence, and enhances flexibility and coverage through diffusion-based sampling.
- Nucleotide Transformers (NT, SegmentNT, ChatNT, AgroNT): A suite of nucleotide-level models that deliver single-nucleotide resolution insights across the genome, enable engagement with biological data through natural language, and power agricultural research with domain-adapted NLP. AgroNT has been highlighted by industry leaders for accelerating trait discovery in maize, transforming years of lab work into rapid, AI-powered insights.
Core Platform Capabilities
- Minimal setup requirements, enabling rapid deployment of AI models for life sciences research teams.
- Customizable workflows that adapt to diverse R&D use cases across therapeutics, genomics, proteomics, and agriculture.
- An integrated AI assistant, Laila, designed to support researchers throughout their workflows.
- High-throughput batch processing and real-time monitoring for protein folding and structural analysis tasks.
- Natural language interaction with biological data through ChatNT, making complex genomic data more accessible.
- Diffusion-based and transformer-based generative modeling for peptide sequencing and protein design.
Industry Applications
- Therapeutics and Diagnostics: End-to-end support for drug discovery and development, including antibody design, protein engineering, peptide sequencing, and genomic analysis for diagnostic applications.
- Agriculture: Advanced genomics foundation models, including AgroNT, enable agricultural researchers to accelerate trait discovery and apply domain-adapted NLP to crop genomics challenges.
- Industrial Biotechnology: AI solutions tailored for advanced industrial applications, leveraging the same foundation model infrastructure used across therapeutics and agriculture.
DeepChain combines cutting-edge AI research with practical, accessible tooling to help life sciences organizations across pharma, biotech, agriculture, and industry accelerate their R&D pipelines and drive innovation toward a healthier, more sustainable, and resilient world.
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