We predict therapy response before treatment begins — then prove it in the lab with CRISPR validation.
Doctors are forced into blind decisions. Patients pay the price. The system is broken at every level.
An agentic AI co-pilot integrating histopathology, genomics, and clinical data. A central Brain orchestrates specialized expert models. Every prediction is validated in the wet lab.
Our AI foundation model objectively estimates tumor cellularity in histopathological slides — the gating step for molecular testing. 2x more accurate than human pathologists. Works across 32 cancer types. Replacing subjective assessments that cause failed sequencing runs and wasted resources.
Every oncology AI company stops at prediction. We close the loop with CRISPR wet-lab validation.
Causal models identify candidate biomarkers, resistance pathways, and novel drug targets from multimodal patient data.
High-throughput functional genomics confirm the biological role of every AI-discovered target. Correlation becomes causation.
Validated data feeds back into the model. Every cycle sharpens accuracy and expands our proprietary causal map of cancer.
Cancer does not discriminate by geography. Neither should treatment.
Most oncology AI trains on Western populations. We source data from Africa, South America, and Asia to build models that serve every patient equally.
Inspired by the Enso — the Zen symbol of wholeness. We treat the individual, not just the tumor. Mind and body in harmony.
96.6% of oncology drugs fail in trials. Our causal engine validates novel drug targets before they reach the clinic.
We are building next-generation oncology intelligence with leading cancer centers worldwide. Your data powers models that directly benefit your patients.
Access Ensopurity and our co-pilot across your pathology workflows. Improve accuracy, optimize NGS sample selection, reduce costs today.
Collaborate on clinical validation pilots, joint publications, and grant applications. Accelerate translational medicine together.
Your patients benefit directly. AI-driven insights improve treatment decisions, reduce failed therapies, and accelerate outcomes.