Bio-AI Foundation Model Consulting

A production-ready model (e.g., ESM, AlphaFold) fine-tuned on your exclusive biological datasets. This asset delivers higher accuracy on your specific targets than any public model, directly accelerating internal discovery pipelines.

Lab-validated model outputs for your priority use case, such as protein-ligand binding affinity or novel enzyme function. We deliver benchmark reports against public baselines, providing the evidence needed for internal investment and regulatory submissions.

A fully deployed model instance within your controlled, compliant infrastructure—whether a private cloud, on-premises cluster, or air-gapped environment. This ensures IP protection and meets data residency requirements under frameworks like the EU AI Act.

A scalable, automated pipeline for continuous model retraining and inference. This includes data versioning, experiment tracking, and model monitoring tailored for biological data types, ensuring long-term model performance and reproducibility. Learn more about our approach to Bio-AI Data Pipeline and MLOps Engineering.

A clear technical and commercial roadmap outlining next-generation model capabilities, potential patentable discoveries, and integration points with downstream platforms like AI-Driven Drug Discovery or Generative Protein Design.

Comprehensive model cards, bias assessments, and validation dossiers aligned with emerging FDA/EMA guidelines for AI/ML as a Medical Device (SaMD) and ISO 13485. This de-risks the path from research to clinical application.

Accelerate small molecule and biologic lead identification by fine-tuning foundation models like ESM and AlphaFold on proprietary compound libraries and assay data. Achieve higher hit rates and reduce preclinical timelines.

Learn more about our end-to-end approach in AI-Driven Drug Discovery Platform Development.

Engineer novel enzymes and optimize metabolic pathways. We implement generative AI workflows to design variants with improved catalytic activity, stability, and substrate specificity for sustainable manufacturing.

Explore our specialized service for Generative AI for Enzyme Engineering.

Develop predictive models for patient stratification and treatment response by integrating multi-omic data with clinical records. Build AI systems that identify novel biomarkers and enable personalized therapeutic strategies.

Apply multimodal AI to genomic, phenotypic, and environmental data for trait prediction, stress resistance, and yield optimization. Fine-tune models for specific crops to accelerate precision breeding programs.

Optimize guide RNA design and predict off-target effects with AI. Integrate high-content screening data to build predictive models that massively accelerate functional genomics and therapeutic development workflows.

Ensure your AI/ML models meet stringent FDA, EMA, and ISO 13485 standards for diagnostics and clinical decision support. We implement robust validation, documentation, and MLOps pipelines for market approval.

Our dedicated service for Bio-AI Regulatory Compliance and Validation provides full lifecycle support.