AI learned our language.
Now it can learn our biology.
Quris built the BioAI platform
that makes it possible.
Quris connects human 3D tissue models, automated experiments and AI in one continuous system. Living human models generate the response data; BioAI learns from it to predict how drugs will behave in people.
Test. Measure. Learn. Predict.
A continuous biological–AI feedback loop.
Quris measures how human tissues respond to drug candidates across concentrations and time points. Every experiment returns measured human biology to the model, so each study improves the next prediction.
Test
Drug candidates are evaluated in functional human 3D tissue models.
Measure
Multiple biological and functional responses are captured over time.
Learn
Experimental data are integrated with AI and computational analysis.
Predict
Human-relevant safety assessments support drug-development decisions.
Human responses, measured directly.
Built on functional human 3D tissue models.
Quris measures tissue function and drug-induced change in human tissue itself, rather than inferring it from other systems.
Liver
Functional human liver models support drug-induced liver injury assessment.
Kidney
Kidney models under development, extending toward renal safety questions.
Heart
Cardiac tissue models in development to evaluate functional cardiac effects.
Brain
Neural models in development, aimed at neuro-relevant responses.
Multi-organ systems
Interconnected systems being explored to capture effects across tissues.
Turning Human Responses into Predictive Intelligence
How experimental data becomes prediction.
Each experiment produces measurements of how human tissue responds to a compound. Combined with compound and exposure information, these data support AI models designed to predict drug-safety outcomes.
- 01
Compound & Exposure Information
Structure, concentration and exposure timing.
- 02
Measured Human Responses
Functional and injury-related readouts from living tissue.
- 03
AI-Based Prediction
Safety outcomes estimated for new compounds.
