OUR SCIENCE
Accelerating discovery through AI-driven biology
We combine foundation models, knowledge graphs, and experimental feedback loops to transform how researchers discover and validate therapeutic targets.
Research Focus Areas
Our platform is designed around three interconnected research domains, each reinforcing the others through shared data and models.
Type 1 Diabetes
Multi-omic integration for understanding islet biology, immune cell profiling, and identifying therapeutic targets in T1D.
- Single-cell multi-omic analysis (RNA + ATAC)
- Immune cell profiling and trajectory analysis
- Islet-specific regulatory network mapping
CRISPR Validation
AI-guided CRISPR perturbation design with automated guide selection, outcome prediction, and experimental feedback loops.
- Optimized guide RNA design and scoring
- Perturbation outcome prediction
- Continuous learning from experimental results
Rare Variants
Variant prioritization using calibrated pathogenicity scoring, regulatory effect prediction, and functional validation.
- Calibrated pathogenicity scoring
- Regulatory effect prediction
- Population-aware variant filtering
Our Approach
Four pillars that combine computational innovation with experimental rigor.
Foundation Models
Genomic and protein language models for variant effect prediction and regulatory annotation.
Knowledge Graphs
GraphRAG-powered literature synthesis connecting genes, variants, pathways, and evidence.
Agentic Workflows
AI agents that plan experiments, generate protocols, and track provenance automatically.
Experimental Feedback
Every experiment outcome feeds back to improve future predictions, closing the learning loop.
PREDICT
Score variants and regulatory effects
CONTEXTUALIZE
Map to pathways and literature evidence
VALIDATE
CRISPR perturbation experiments
LEARN
Update models from experimental outcomes
Publications & IP
Our research is designed to produce reproducible, evidence-locked outputs from day one.
Preprints
Upcoming preprints on AI-guided variant prioritization and CRISPR experimental design.
IN PREPARATION
Intellectual Property
Novel methods for evidence-locked scientific workflows and AI-guided experimental design.
IN PROGRESS
FLAGSHIP PRODUCT
biocontext7
Up-to-date bioinformatics documentation for AI coding assistants. The largest curated registry of bioinformatics tools with FAIR scoring and MCP integration.
25k+
Tools indexed
8
Registries
FAIR
Scored
MCP
Ready
Interested in our science?
We welcome collaborations with researchers working on rare variants, CRISPR validation, and autoimmune disease.
Get in Touch