AI Data Training
Secure, private vector storage for your enterprise content — powered by Google Vertex AI and backed by enterprise-grade data governance.
What is AI Data Training?
AI Data Training lets you upload your proprietary documents — PDFs, contracts, procedures, knowledge bases, product manuals — and transform them into a searchable private knowledge layer that your AI assistants query in real time.
The technology underpinning this is Retrieval-Augmented Generation (RAG): instead of asking a general-purpose model to guess from its training data, your assistant retrieves the exact, relevant passage from your own document store and grounds its answer in verified fact. The result is an AI that knows your business as well as your best employee — and can cite its sources.
Why Your Data Cannot Be Entrusted to Just Any Store
When a company uploads internal documents to an AI service, it is transferring some of its most sensitive assets: trade secrets, client records, unreleased product strategies, legal opinions, HR policies.
Most consumer-grade AI platforms pool all user data in a shared embedding space. In practice, this creates three unacceptable risks for any organisation with governance obligations:
Cross-contamination
Shared vector spaces can surface fragments of your documents in responses delivered to other users. This is not theoretical — it has been reported in academic research and vendor security disclosures.
Training data exposure
Many providers reserve the right to use uploaded content to improve their models. A confidentiality clause drafted by your legal team could become training data for a competitor’s AI.
No data lineage
Without clear data lineage, you cannot demonstrate to a regulator, auditor, or client exactly where your data lives, who can access it, and how it is deleted.
Our Commitment: Enterprise-Grade Isolation
Strict Namespace Isolation
Every customer’s vector store lives in a completely separate namespace. There is no shared index, no pooled embedding space, and no possibility of cross-tenant retrieval. Your documents are invisible to all other accounts.
Encrypted End-to-End
All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Keys are managed by Google Cloud KMS and are never shared across customer accounts.
Zero Training on Your Data
Your uploaded content is processed under Google’s Data Processing Addendum. Google does not use customer data to train or improve its foundation models without explicit written consent. Your documents exist solely to serve your retrievals.
Right to Erasure
Delete any document or your entire corpus at any time — free of charge, effective immediately. Deletion is permanent and verifiable. Built for GDPR Article 17 compliance.
Infrastructure with Real SLAs
Built on Google Cloud’s Vertex AI Vector Search — the same infrastructure trusted by Fortune 500 companies — with contractual 99.9% availability SLAs, data residency options, and enterprise support tiers.
Audit-Ready Logging
Every ingestion and deletion event is logged with timestamps and user attribution, making your vector store auditable for ISO 27001, SOC 2 Type II, and GDPR compliance programmes.
How It Works
Upload
Upload any document — PDF, plain text, or provide a URL. Supports everything from a one-page policy brief to a 2,000-page technical manual.
Embed
The document is chunked into semantically meaningful segments and converted into high-dimensional vector embeddings using Google’s state-of-the-art embedding model — stored exclusively in your namespace.
Query
When a user asks your AI assistant a question, the assistant semantically searches your private store, retrieves the most relevant passages, and grounds its answer in them — not in generic internet training data.
Cite
Responses reference the source document and passage, giving users — and auditors — a clear chain of evidence for every AI-generated answer.
Enterprise Use Cases
Legal & Compliance
Train on your policy library, regulatory filings, and contract templates. Let an assistant answer compliance questions with citations to the exact clause.
Technical Support
Index your product documentation, bug trackers, and runbooks. Support agents resolve tickets faster when the AI retrieves the right answer in seconds.
Healthcare & Life Science
Manage clinical guidelines, formulary data, and internal protocols in a fully isolated environment that never exposes patient-adjacent data to third-party models.
HR & Onboarding
Upload employee handbooks, benefits guides, and onboarding materials. New hires get instant, accurate answers grounded in your actual policies.
Credit Usage
| Operation | Cost | Unit |
|---|---|---|
| Embed / Train | 1 credit | per 1,000 tokens of source text (~750 words) |
| Semantic Query | 1 credit | per search query issued by an assistant |
| Document Delete | Free | always — no cost to remove data |
Ready to Deploy Enterprise AI Data Training?
An active Personal or Agency licence is required. Once licensed, purchase credits and begin uploading documents from WordPress Admin → Agentic → Data Training.