Security & Architecture

Firewalls up. Innovations on. See exactly how a customer conversation moves through Orvera AI, component by component, and the governance that holds around every stage of it.

SOC 2 Type II, HIPAA Compliant, GDPR
Under the hood

Orvera AI moves every customer turn through one loop, on voice, chat, email and the other digital channels an enterprise runs. Orvera transcribes it, retrieves matching content from the knowledge sources you approved, plans the next step, composes the reply, and writes the outcome back to your system of record. The underlying models are third party, orchestrated inside Orvera's governed layer. Every interaction leaves a report, transcript and summary.

  • ChannelWhere conversations enter and leave
  • SpeechAudio into text, text back into audio
  • IntelligenceWhere the reply is composed
  • KnowledgeWhere the reply is grounded
  1. The customer speaks

    A customer calls in. Their speech enters the platform as live audio, and every turn they take from here follows the same path through the same components.

    • Customer
  2. Telephony carries the call

    The call runs on your telephony system. Twilio and Amazon Connect are the platforms shown here, and the same system carries the response back at the end of the loop.

    • Telephony SystemTwilio · Amazon Connect
  3. Speech becomes text

    The transcription model turns the audio into text. The transcript then feeds two paths at once: the retrieval chain on one side, the conversational model on the other.

    • Transcription Model
  4. Context is retrieved

    The embedding model turns the transcript into a vector, the retrieval API looks that vector up, and the database returns the matching content from the sources you approved. That result goes to the conversational model.

    • Embedding Model
    • Retrieval (API)
    • Database/Vector DB
  5. The reply is composed

    The conversational LLM writes the reply from two inputs and only two: the live transcript, and the retrieved context. It is grounded in what came back from your knowledge sources, not in an open-web guess.

    • Conversational LLM
  6. The answer is spoken back

    The text-to-speech model voices the reply, the telephony system plays it to the caller, and the loop closes. The whole exchange leaves a report, a transcript and a summary behind it.

    • Text-to-Speech Model
    • Telephony SystemTwilio · Amazon Connect
    • Customer
SOC 2 Type II · HIPAA · GDPRA complete report, transcript and summary for every interaction
Security by design

Orvera AI holds four controls around every stage of the conversation, on every channel. Its AI agents answer only from the knowledge sources you approve, with no open-web guessing. Permissions, guardrails and policy are configured per use case. Every interaction leaves a full report, transcript and summary. Tenancy is isolated, which is what makes the platform workable for BPOs running several clients.

Approved-knowledge grounding

Agents answer only from the sources you approve, no open-web guessing.

Granular controls

Permissions, guardrails, and policy, configured per use case.

Full audit logs

A complete report, transcript, and summary for every interaction.

Multi-tenant

Isolated tenancy built for BPOs.

Security and compliance

Orvera AI is SOC 2 Type II certified, HIPAA compliant and GDPR compliant. Those three cover how the platform secures enterprise data, how it safeguards protected health information across every channel it runs, and how it handles personal data lawfully, with data minimization and defined user rights. Documentation goes to your procurement and security teams on request.

  • SOC 2 Type II

    SOC 2 Type II Certified for highest data security, ensuring trusted, compliant, and confidential handling of sensitive healthcare information at every level.

  • HIPAA Compliant

    HIPAA Compliant to safeguard patient data, ensuring privacy, security, and full adherence to healthcare regulatory standards across all communications.

  • GDPR Compliant

    Complies with GDPR by ensuring lawful, fair, transparent data handling, user rights, minimal data use, and strict accountability.

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