Zentari
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Quantum materials

Material-function proof for molecules, motifs and coatings.

Zentari Quantum Materials optimises proteins, peptides, small molecules, regulatory motifs and functional coatings. It pairs rights-gated biological priors with classical baselines, quantum-native task planning and assay-ready Function Proof Packs.

Request access Product family
  • Design object Material-function record

    Protein, peptide, small-molecule, motif and coating candidates are first-class objects.

  • Execution path Rights-tagged discovery and quantum records

    External calls are labelled by data class and commercial-use boundary before execution.

  • Output Assay-ready Function Proof Pack

    Proof records, safety status, rights statement and assay plan travel together.

What it does

A material-function engine with hard boundaries.

Quantum Materials owns the function object model, active-learning loop, safety gate, assay return format and proof pack for material discovery workloads.

The product starts with a measurable function brief: a binder, stabilising additive, regulatory motif, coating, interaction fragment or material envelope. Each input is classified before any external discovery or execution path can touch it.

Public biological priors accelerate early hypotheses, while confidential and commercial proof work stays on licensed or Zentari-controlled paths. Quantum-native execution is reserved for the material-function layer; Scaffold Intelligence and Nano consume finished material envelopes, not quantum workflows.

  • Compiles a function brief into measurable targets, material objects and assay criteria.
  • Applies D0-D4 rights labels and safety review before external tool use or design output.
  • Combines biological priors, classical baselines and active learning into candidate records.
  • Routes quantum-relevant tasks through Classiq and Azure Quantum execution records.

Workflow

From function brief to proof pack.

  1. 01

    Brief

    Define target function, material context, candidate class and assay readout.

  2. 02

    Gate

    Classify data rights, safety posture, allowed use and commercial boundary.

  3. 03

    Discover

    Use permitted public priors and classical models to form candidate hypotheses.

  4. 04

    Evaluate

    Compile quantum-relevant tasks and record baselines, runs and resource estimates.

  5. 05

    Prove

    Assemble a Function Proof Pack with assay plan and readiness status.

Evidence surface

Proof records before claims.

Rights statement

Each proof pack carries data-class labels, allowed use and commercial readiness status.

Evaluation records

Discovery hypotheses, classical baselines, quantum runs and resource estimates stay explicit.

Assay plan

The handoff tells a lab what to test, what evidence exists and what remains unresolved.

Contact

Frame a material-function proof.

Bring a target function, material context or assay question; we will map the permitted evidence route.

founders@zentari.bio