AI-driven research in original molecules, global botanical drugs and innovative TCM drugs.
From unmet clinical needs to drug development.
For global pharma and innovative biotech: explore differentiated opportunities in natural chemistry. Build evidence around target relevance, testable mechanisms, developability and intellectual property to support the next development decision.
Start with a defined modern medical indication and use VMED-OS to identify botanical candidates. Connect product definition, pharmacology, safety and batch consistency with the target market’s botanical drug pathway.
Develop programs within China’s Class 1 framework: formulas, extracts and new medicinal materials. Connect TCM theory, human-use experience and clinical research to investigate meaningful clinical value.
Four work packages support the three research directions: botanical candidate discovery, intelligent formulation, innovative TCM research and molecular discovery.
Which botanicals warrant testing for this disease?
Start with an indication and disease mechanisms. Connect targets, compounds and botanical materials to propose new candidates, then prioritize testing using pharmacology, safety, exposure and supply considerations.
Ranked botanical candidates · Compound–target evidence
Selection rationale · Validation priorities
Why these herbs? Could fewer do more?
Design research formulations from disease mechanisms and target combinations, or evaluate each herb in an existing formula. Compare complementary mechanisms, redundancy, exposure and safety.
Candidate comparisons · Herb contribution analysis
Chemical and safety evidence · Combination study plans
How can traditional experience inform testable drug research?
Investigate formulas, extracts and new medicinal materials under China’s Class 1.1, 1.2 and 1.3 pathways. Connect TCM theory, human-use experience and clinical research with composition, mechanisms and quality control.
Traditional-use evidence · Formulation and process priorities
Modern validation strategy · Innovation opportunities
Which molecule deserves the next experiment?
Investigate structures and biological activity in natural products. Organize target matching, novelty and developability research to connect active leads with hit validation and optimization.
Molecular opportunities · Mechanistic hypotheses
Novelty leads · Validation and optimization plans
Partners need a clear next step. Investors need a defensible reason to progress. We organize research discussions around four outputs.
Explore program milestones↗Identify clinical needs, differentiation, competing approaches and critical uncertainties.
Preserve priorities and selection rationale, with explicit formulation or molecular hypotheses.
Define experiments that can change a decision and criteria to progress, adjust or stop.
Connect sources, findings, versions and decisions to support development and partner diligence.
Innovation begins with understanding the relationships between compounds, targets and disease.
Veritas Medicine focuses on natural-origin original molecules, global botanical drugs and innovative TCM drugs. Our AI decision framework connects evidence across program selection, candidate design and development.
Our ambition: to lead AI-driven innovation in natural medicines.
Explore the chemical diversity of plants and natural products as a starting point for original medicines.
Connect opportunity assessment, research design and program management with continuously updated evidence.
Turn predictions into testable questions, and use experimental findings to guide the next decision.
From why a program should begin to what comes next,
connect science and execution through evidence.
AI compares opportunities against clinical needs, existing therapies and evidence to inform program selection and prioritization.
Clinical needs · Landscape · Available evidence
Opportunity assessment, target product concept, go / no-go criteria
Map indications, targets and direction of effect. Compare mechanisms, supporting findings and counterevidence.
Disease biology · Target evidence · Direction of effect
Mechanistic hypotheses, target combinations and evidence gaps
Design candidates for natural-origin original molecules, global botanical drugs and innovative TCM drugs. Compare molecular, botanical, extract and formulation evidence.
Botanicals · Chemical structures · Initial activity
Candidate priorities, design rationale and testable hypotheses
AI organizes validation plans and compares activity, exposure and safety evidence against the original hypotheses.
Candidate hypotheses · Activity and exposure · Safety signals
Experiment proposals, updated evidence and progression rationale
Organize research on source materials, characterization, processes and quality attributes. Identify consistency and scale-up risks.
Chemical profiles · Process data · Quality studies
Quality framework, process risks and control strategies to validate
Integrate nonclinical, pharmacokinetic and clinical evidence to develop research plans. Accountable experts review clinical implementation and safety decisions.
Nonclinical results · PK/PD · Clinical evidence
Translational questions, draft study plans and stage reviews
Bring novelty, patent information and registration pathways into research discussions with traceable materials for professional assessment.
Technical concepts · Published patents · Regulatory materials
Novelty leads, pathway questions and review packages
Build AI-driven program management around milestones, resources, dependencies and risks. Trigger reassessment when new evidence arrives.
Milestones · Resources and dependencies · New evidence
Task priorities, risk signals and milestone reassessment
New evidence informs the next decision. Accountable teams review key experiments, clinical safety and development milestones.
Explore the framework ↗VMED-OS, the proprietary TCM AI model developed by Veritas Medicine, supports candidate prediction and research design across natural-origin original molecules, global botanical drugs and innovative TCM drugs. Pharmacology capabilities across eight research areas bring hypotheses into the lab and experimental learning into the next cycle.
Explore the VMED-OS platform ↗Natural-origin original molecules, global botanical drugs and innovative TCM drugs.
Distinct product goals and regulatory paths guide each program.
Use natural products as a starting point for active molecules and novel scaffolds. Combine AI with medicinal chemistry to investigate mechanisms, developability and translation.
Explore the development path↗For defined modern medical indications, use AI to identify botanical candidates and prioritize pharmacology, safety and quality studies under the target market’s requirements.
Explore the development path↗Research clinically valuable innovations under China’s current Class 1 registration framework: Class 1.1 formulas, Class 1.2 extracts and their preparations, and Class 1.3 new medicinal materials and their preparations.
Explore the development path↗Custom R&D for partner needs. Original drug incubation for new opportunities.
Two paths built around clear development milestones.
Translate your target indication, candidate resources and development challenges into a tailored research plan. Connect AI analysis, study design and validation planning, from opportunity assessment to candidate optimization.
Start with unmet clinical needs and natural-product insights. Use AI to identify differentiated opportunities, then connect candidate design, mechanism studies and experimental validation to build original programs for further development and partnering.
Discover our direction, identity and partnership approach.
Explore investor dialogue and opportunities to contribute.
Key milestones · The Veritas ethos · Our vision
↗02 / INVESTORSInnovation value · Business model · Investor dialogue
↗03 / CAREERSAcross disciplines · Research interests · Working together
↗04 / CONTACTBusiness partnerships · Investor dialogue · Talent enquiries
↗NEWS & INSIGHTSScientific collaboration · Development progress · Industry perspectives
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