$MATRIX has launched on Virtuals Protocol on Robinhood Chain.
Scientific data, attested on-chain

The attestation layer for the data quantum-AI is starving for.

QMATRIX pairs domain-expert review with cryptographic provenance for molecular, materials and optimization datasets. Trainers get verified scientific data. Experts get paid in $MATRIX.

Most Successfull Quantum Companies
Google
Scale AI
Meta
IonQ
D-Wave
Google
Scale AI
Meta
IonQ
D-Wave
The protocol

Provenance, computation and consensus in one lane.

Generic labeling networks cannot verify a DFT calculation. QMATRIX routes every submission through compute and credentialed experts before it reaches a trainer.

01

Submit

Labs and research groups post datasets under a scientific class. Every submission carries provenance, method, and reproducibility metadata.

02

Compute

DFT and reference workflows re-run on standardized environments. Results are hashed on-chain alongside the inputs that produced them.

03

Attest

Verified domain experts stake $MATRIX to attest each record. Consensus across attesters, not a single reviewer, produces the signal.

04

Route

Trainers pull verified sets by class, method, and confidence. Attesters and contributors earn on downstream use.

Data classes

The scientific classes quantum-AI cannot crowdsource.

See the full spec
Molecular

Molecular simulation

DFT-grade energies, geometries and force curves for small and mid-size molecules. The training substrate for reactive AI.

Attested pipeline
Materials

Materials properties

Band gaps, formation energies, elastic and dielectric tensors across crystalline and amorphous systems.

Attested pipeline
Catalysis

Catalysis and reactions

Transition states, activation energies and reaction networks that closed catalysis models depend on.

Attested pipeline
Protein

Protein ligand binding

Affinity, pose and free-energy windows attested by structural biology reviewers, not crowd labelers.

Attested pipeline
Optimization

Optimization landscapes

QUBO, Ising and combinatorial benches with verified optimal or best-known bounds for benchmarking.

Attested pipeline
Quantum chem

Reference benchmarks

Coupled-cluster and multireference reference sets that pin the ceiling for approximate methods.

Attested pipeline
Live explorer

See how we collect and label data for AI systems.

Every cell is one scientific dataset moving through submission, DFT computation, expert attestation and final verification. Click a row, column or cell to inspect the pipeline.

preview · sample attestations

Quantum-AI is starving for the one data class nobody can crowdsource.

the lanewhere QMATRIX sits in the market
centralized expert players

Off-chain black boxes. No token, no portable reputation, no neutral attestation surface.

decentralized data players

Target broad, general-purpose data. Not built for DFT-grade scientific labels.

decentralized scientific compute

Runs the simulations. Complements QMATRIX. Does not attest who labeled what, or how well.

QMATRIX

Pairs domain-expert attestation with the scientific data class. The on-chain Mercor or Surge for quantum-AI data.

1,420
datasets in pipeline
380
credentialed attesters
6
scientific data classes
100%
on-chain provenance
$MATRIX

The economy that pays for verified science.

$MATRIX is the coordination asset. Attesters stake to review, trainers pay to route, contributors earn on downstream use. One token, one grid, one clearing layer for scientific training data.

Stake

Attesters bond $MATRIX to review a class.

Route

Trainers pay to pull verified data.

Earn

Contributors accrue on downstream use.

Slash

Consensus drift is penalized economically.

Roadmap

Domains open over time. No hard dates.

  1. Now01

    Attester onboarding

    Credentialing DFT, materials and structural-biology reviewers.

  2. Next02

    Class expansion

    Catalysis, protein ligand and optimization pipelines go live.

  3. Later03

    Trainer routing

    Verified sets routed to trainers by class, method and confidence.

  4. Standard04

    The scientific default

    QMATRIX becomes the clearing layer for scientific training data.

Verified science.
On-chain, by default.

$MATRIX is live on Virtuals Protocol on Robinhood Chain. Join the attester network or follow the launch. QMATRIX is the on-chain Mercor for scientific training data.