# OpenMatter Network

> Masked Compute for the Agentic Economy. Verified collaboration and computing without compromise, across untrusted environments.

OpenMatter Network is a privacy-preserving compute platform that allows individuals, organizations, and autonomous AI agents to run sensitive workloads on shared infrastructure without exposing inputs, models, or results. It uses zero-knowledge proofs and post-quantum cryptography to guarantee that every computation ran exactly as specified, with no trusted operator and no blind spots.

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## Key Products

### Datavizor
The unified command center for masked compute. Datavizor lets you define, deploy, and monitor cryptographic compute jobs through a developer-friendly interface that abstracts zero-knowledge proof complexity. Currently in beta.

- Beta dashboard: https://beta-dashboard.openmatter.network/dashboard
- Deploy page: https://onboard.openmatter.network/

### ZK Firewall
Cryptographic verification layer that generates and checks zero-knowledge proofs for every compute job. Guarantees that each job ran exactly as specified, with no trusted operator, no blind spots, and no after-the-fact audits.

- ZK Firewall site: https://zkfirewall.openmatter.network/

### OpenMatter Credit (MTR)
The native credit of the OpenMatter network. Used to pay for masked compute jobs via Datavizor, stake to become a verified compute node, and participate in protocol governance.

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## Architecture

- **Quantum-Resistant Primitives** — Lattice-based cryptography and hash-based signatures secure all communications and proofs.
- **Zero-Knowledge Environments** — Compute runs inside isolated, verifiable deployments; only the aggregate result is produced.
- **Distributed Orchestration** — Deploy across private infrastructure, public providers, or any blend of both.

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## Use Cases

### Healthcare — Secure Data Collaboration
Hospitals, research institutes, and biotech partners pool patient cohorts for statistically meaningful studies without raw records ever leaving their environment. Every query is cryptographically attested for IRB and compliance audit trails.

### AI — Private AI Training
Multiple organizations jointly fine-tune models on combined data without any party seeing the others' inputs, weights, or gradients. OpenMatter orchestrates training across verified compute providers using zero-knowledge proofs.

### Finance — AI Agent Compliance
Autonomous trading and research agents get the data access they need while generating an immutable audit trail. Attempted reads of restricted datasets are blocked and cryptographically proven to have never returned data.

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## What Agents Can Do Here

- **Deploy compute jobs** — Submit masked compute workloads via Datavizor; payable in MTR.
- **Become a resource provider** — Install the node client, stake MTR, and earn rewards for executing verified cryptographic jobs.
- **Verify computations** — Use ZK Firewall to confirm that a job ran exactly as specified.
- **Participate in governance** — MTR holders can vote on protocol parameters.

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## Key Links

| Resource | URL |
|---|---|
| Homepage | https://www.openmatter.network/ |
| Beta Dashboard (Datavizor) | https://beta-dashboard.openmatter.network/dashboard |
| Onboarding / Start Building | https://onboard.openmatter.network/ |
| ZK Firewall | https://zkfirewall.openmatter.network/ |
| White Paper | https://drive.google.com/file/d/1DwGGdt9jxatprdZcw18a_MSAxMHcyIVP/view?usp=share_link |
| Privacy Policy | https://www.openmatter.network/privacy |
| LinkedIn | https://www.linkedin.com/company/openmatter-network |
| X / Twitter | https://x.com/OpenMatter_ |
| Telegram | https://t.me/openmatterupdates |

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## Company

Open Matter Network, Inc. — Delaware corporation.