Multimodal Data
Integrates data points and knowledge from hundreds of millions of patients
- Multi-omics & Literature
- Real World Data
- Pre-clinical and Clinical Trial
- Proprietary Evidence
Digital Human Avatar Reasoning and Modeling AI
Inputs
Integrates data points and knowledge from hundreds of millions of patients

Actionable
In Silico
Simulate perturbance & quantify results
AI-powered mechanistic reasoning and virtual experimentation.
Understand biology from multimodal data.
Connect mechanisms, evidence, and hypotheses
Deploy agents to orchestrate virtual experiments and decision workflows.
Model disease as a connected human system. Multi-omics, literature and clinical evidence are integrated into reusable quantitative models linking cells, pathways, organs, biomarkers and disease endpoints.
Tumor-Immune interactions, immune escape and checkpoint dynamics
Self-antigen recognition, tolerance breakdown and cytokine cascades
Pathogen-host interactions, immune response dynamics and inflammatory cascades
Lipid synthesis and clearance, lipoprotein kinetics and metabolic homeostasis
Hepatocyte units, drug-metabolizing enzymes, liver injury and regeneration
Advancing the global frontier of multi-omics disease modeling

Simulate how each therapy acts
Simulate how each therapy actually works in humans. Delivery, exposure, target engagement, pathway response, efficacy and safety—represented for every molecule and modality.
mAb and bispecific binding, target-mediated disposition, signaling and immune-effector effects.
Tumor penetration, target binding, linker deconjugation, payload release and intracellular handling.
Biodistribution, cellular uptake, transgene expression, durability and immune response.
Trafficking, expansion, persistence, tumor targeting and off-target risk.
Ligand–target affinity, target & non-target tissue uptake, radiation dose-toxicity risk.
Mechanistic interactions, scheduling and combined efficacy-safety outcomes.
Simulate populations, not only an average patient.
Simulate heterogeneous populations — not the average patient. Calibrated virtual populations represent biological, pharmacological and clinical variability across thousands of scenarios.
Simulated in hours, not months
Fail in silico, succeed in reality
Why virtual trials
Virtual trials integrate multi-data for large-scale human systemic outcome simulation, recapitulating real human drug responses.
AI + Digital Twin
AI + Digital Twin
AI + Digital Twin
AI + Digital Twin
AI + Digital TwinConnect, do not disrupt
Connect data across projects and systems through custom developed PaaS/IaaS or APIs. Integrate new data and evidence, automatically update simulations and return decision-ready outputs, all in a secure environment.
Your data sources
Plug into what you already run
Differentia Digital Twin Trial™ Platform
Map · Simulate · Review · Update
Decision teams
Real-Time Monitoring & supporting
Can automate end-to-end simulation, integrate with existing tools and operations network.
Dedicated environments — ensuring maximum data security and control.
One-click, natural-language generation of dashboards, reports and evidence packages.