VATES

VATES is an AI knowledge infrastructure designed for organizations that need reliable answers from information they control.

Instead of turning company knowledge into opaque vector embeddings, VATES keeps knowledge in a structured, human-readable form. People can inspect, edit, and update the source directly, and changes can be reflected in AI responses immediately without rebuilding or re-indexing a vector database.

This makes VATES particularly useful for knowledge that is not publicly available, changes frequently, has an authoritative owner, carries a meaningful cost when answered incorrectly, or requires the reasoning source to be traceable.

Human-editable knowledge

Knowledge remains readable and manageable by people. A team member can correct or update information without maintaining an embedding pipeline or depending on specialized AI infrastructure.

Traceable AI answers

VATES can show the source knowledge behind an answer, making it easier to inspect why a response was produced rather than treating the AI as a black box.

Instant knowledge updates

When business rules, prices, procedures, product information, or internal policies change, the underlying knowledge can be edited directly. There is no vector re-embedding or re-indexing step required.

Multilingual by design

The language of the stored knowledge and the language of the conversation are independent. A knowledge base can be maintained in one language while users ask questions and receive answers in another.

Multiple ways to deploy

VATES can be used as a standalone AI interface, embedded into an existing website through a widget, or integrated into other products and workflows through its API. It can also provide company knowledge to compatible AI clients and assistants.

Built for operational knowledge

VATES is especially suited to customer support, internal knowledge, product information, policies, procedures, manuals, and other domains where organizations need to determine what the authoritative answer actually is.

Security and operational features include access controls, audit logs, configurable data retention, authentication options, and tools for tracing how knowledge is used.

VATES uses usage-based prepaid billing rather than requiring a fixed monthly subscription. Organizations can start with a small balance and scale usage as needed.

The goal of VATES is simple: keep organizational knowledge understandable and controllable by humans while making it directly usable by AI.