How Admiyz 2.0 collects, processes, encrypts, and isolates visitor and customer data across our autonomous revenue engine.
This Privacy Policy describes how Admiyz Technologies Inc. (“Admiyz”, “we”, “us”, or “our”) collects, processes, and safeguards personal data when organizations deploy the Admiyz 2.0 autonomous sales widget, dashboard platform, and integration APIs.
We operate as a Data Processor on behalf of our enterprise customers (the “Workspace Owners”), who act as the Data Controllers for visitor interactions occurring on their respective web properties.
When an end-user (“Visitor” or “Prospect”) visits a website deploying the Admiyz sales widget, the engine collects only the minimum necessary data to qualify purchasing intent and route the lead to authorized sales representatives:
x-workspace-id) associating all incoming telemetry exclusively with the designated enterprise customer account.We explicitly declare that no customer proprietary knowledge base documents, unit price matrices, confidential brochures, or visitor conversation transcripts are ever used to train, retrain, or improve public foundation artificial intelligence models (including Google Gemini models or third-party LLMs).
All inference queries are processed in isolated, stateless sessions. Customer data is injected strictly at runtime via Retrieval-Augmented Generation (RAG) prompts bound to the authenticated { workspaceId, isActive: true } scope. Once model inference completes, transient context prompts are permanently purged from inference runtime memory.
Admiyz integrates natively with the Meta Cloud API v20.0 to deliver instant high-intent notifications, appointment confirmations, and direct sales rep handover links:
OPTOUT in MongoDB and suppresses subsequent automated outreach.Admiyz enforces defense-in-depth cryptographic and infrastructure security standards across the entire application lifecycle:
Enforced TLS 1.3 encryption across all public APIs, dashboard sessions, and webhook dispatch events.
AES-256 volume-level encryption across MongoDB Replica Set nodes (rs0) and Redis persistence queues.
RFC 9106 memory-hard password hashing (65,536 KB memory cost, time cost 3, parallelism 4).
Hashed refresh token session families with automated invalidation upon replay detection.
In accordance with global data protection frameworks—including the European Union General Data Protection Regulation (GDPR) and the Digital Personal Data Protection Act (DPDP Act 2023)—data subjects maintain specific statutory rights regarding their personal data:
Admiyz infrastructure is hosted in enterprise-tier Google Cloud Platform (GCP) and AWS data centers. When data is transferred across international boundaries, transfers are executed under Standard Contractual Clauses (SCCs) and compliant Data Transfer Addenda guaranteeing an equivalent standard of protection.
For questions, audit assessments, or to exercise data privacy rights, contact our Data Protection Officer (DPO) at: