“There is no pocket.”
Search transient cavities, topology, disorder, boundary geometry and weighted conformational ensembles.
The BioTwin capability map
Previously inaccessible biology is not the end of a program. It is where ours begins.
BioTwin connects the work normally split across target discovery, structural biology, molecular design, pharmacology, ADMET, safety and external validation. A failed gate does not become a dead-end report. It becomes preserved evidence and the starting point for the next design path.
10connected program stages
27recurring therapeutic obstacles mapped
11decision-ready program outputs
1persistent, evidence-linked program twin
One connected program
From disease hypothesis to a validation-ready evidence package
Each stage preserves its assumptions, evidence, failures and dependencies for the stages that follow.
- 01
Model the disease
Connect causal biology, pathways, targets and the intervention thesis.
Output: program rationale - 02
Expose hidden tractability
Search dynamic ensembles, cryptic pockets, interfaces, disorder and topology.
Output: tractability map - 03
Choose an intervention architecture
Compare orthosteric, allosteric, covalent, induced-proximity and delivery routes.
Output: ranked modality plan - 04
Design and iterate candidates
Generate molecules, warheads, glues, linkers, multivalent designs and synthesis routes.
Output: candidate series + synthesis plan - 05
Quantify engagement
Resolve ensemble-aware pose, affinity, residence, reactivity and kinact/KI.
Output: engagement package - 06
Prove functional mechanism
Connect engagement to disease-relevant function and protected physiology, including functional fibrinolysis where required.
Output: functional pharmacology package - 07
Resolve exposure and efficacy
Compose delivery, PBPK, tissue exposure, dose response and efficacy dynamically.
Output: PK / exposure / efficacy package - 08
Harden safety and developability
Evaluate paralogs, proteome selectivity, chemistry, DILI, resistance, stability and dose-linked risk.
Output: safety + developability package - 09
Confirm and transfer
Design the smallest decisive experiments, controls, branch-on-fail logic and machine-readable return contract.
Output: validation handoff + live IND-enabling dossier - 10
Compound program memory
Preserve every model, run, decision, positive and negative result—and show what must be reconsidered when evidence changes.
Output: a living program twin that improves the next program
Start with the obstacle
The platform is organized around what stops therapeutic programs
BioTwin connects each obstacle to the scientific capabilities and evidence needed to clear it.
“Binding does not change function.”
Connect target engagement to causal efficacy and explicit protected-function guards.
“Affinity does not survive the body.”
Recompute delivery, systemic sinks, metabolism, tissue exposure and dose response as one mechanism.
“The chemistry is too reactive.”
Branch across warheads, non-cysteine covalency, redox selectivity, prodrugs and compartment targeting.
“One route failed.”
Preserve the failure and route to alternate allosteric, induced-proximity, multivalent or delivery architectures.
“The evidence is fragmented.”
Connect every claim, measurement, calibration and external result to its full evidence chain and versioned program context.
Evidence you can trust
Know what is possible—and what has been proven
The system can span the complete program without pretending a model is a measurement or a plan is a regulated study.
Implemented
The capability is available for use in the deployed platform.
Bound
It is connected to the relevant biological object or program use with traceable evidence.
Calibrated
Performance is established for a declared reference panel, range and context.
Measured
A physical result is linked to compound, assay, sample, protocol and calibration.
Regulated
A compliant study result is admitted. A simulation, study design or GLP plan never satisfies this state.
One continuous scientific memory
Every decision carries the evidence that made it possible
Targets, mechanisms, molecular designs, simulations, assays, calibrations and program decisions remain connected across the full therapeutic journey. Teams can move from a high-level conclusion to the exact biological context and supporting evidence without rebuilding the story at every handoff.
When evidence or assumptions change, BioTwin identifies the conclusions and program decisions that may need to be revisited. Positive, negative and inconclusive results all strengthen the next iteration—and every future program.
Every program remains connected to
- Disease mechanism and intervention rationale
- Biological system, process and scale
- Candidate designs and decision history
- Calibration, benchmark and assay evidence
- Validation status and remaining uncertainty
- Downstream conclusions affected by change
Bring us the program everyone else calls impossible.
We will map what the platform can resolve computationally, what evidence already exists, and the smallest physical validation path that remains.
Evaluate a therapeutic program