Clarity. Privacy. Proof.

Drae makes meaning survive the trip from sender to receiver. Messages are mediated inside secure enclaves, adapted to the receiver’s model, and shipped with verifiable proofs that intent stayed within policy.

Drae makes meaning survive the trip from sender to receiver. Messages are mediated inside secure enclaves, adapted to the receiver’s model, and shipped with verifiable proofs that intent stayed within policy.

Contact us

Contact us

Designed to work seamlessly with the tools and platforms you already use.

Designed to work seamlessly with the tools and platforms you already use.

Integrate

Provide Context

Be understood

Drop-in semantic middleware

Integrate

  • Wraps existing LLM calls without changing surfaces

  • Sits between your application and the model

  • No UI or workflow changes required

Integrate

Provide Context

Be understood

Drop-in semantic middleware

Integrate

  • Wraps existing LLM calls without changing surfaces

  • Sits between your application and the model

  • No UI or workflow changes required

Integrate

Provide Context

Be understood

Drop-in semantic middleware

Integrate

  • Wraps existing LLM calls without changing surfaces

  • Sits between your application and the model

  • No UI or workflow changes required

Core Protocol Capabilities

Core Protocol Capabilities

The Pillars of Trusted Communication

Together, these layers make Drae a semantic protocol for understanding that’s private by design and verifiable by default.

Meaning Mediation

Meaning Mediation

Semantic Alignment

Semantic Alignment

Messages adapt to each participant’s understanding. Observer models mediate tone, intent, and context—ensuring meaning never drifts.

Secure Enclaves

Secure Enclaves

Confidential Compute

Confidential Compute

Private context runs inside Trusted Execution Environments. No raw data leaves the enclave; every run is attested for authenticity.

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Proof of Fidelity

Proof of Fidelity

Verifiable Integrity

Verifiable Integrity

Each transformation carries cryptographic proof that intent was preserved. Policies, similarity metrics, and attestations ensure semantic fidelity.

Custom Projects

Custom Projects

Developer-Ready SDKs

Developer-Ready SDKs

Integrate Drae using lightweight SDKs & APIs. Extend semantic control to chatbots, CRMs, and multi-agent frameworks.

Semantic Infrastructure

Semantic Infrastructure

How Drae Works

Every message passes through three verifiable stages — mediation, execution, and proof.

FAQs

FAQs

Frequently Asked Questions

Frequently Asked Questions

Everything you need to know about how Drae preserves meaning, protects privacy, and improves communication.

How do I know messages mediated by Drae are safe and trustworthy?

Does message mediation change what I’m trying to say?

How does Drae ensure augmented messages remain contextually accurate?

Can Drae introduce errors or hallucinations into my communication?

Why does semantic mediation matter — does it actually improve communication?

How do I know messages mediated by Drae are safe and trustworthy?

Does message mediation change what I’m trying to say?

How does Drae ensure augmented messages remain contextually accurate?

Can Drae introduce errors or hallucinations into my communication?

Why does semantic mediation matter — does it actually improve communication?