Enterprise AI

Knowledge-grounded AI and model access.

The website plan describes two related product areas: a Hybrid RAG Knowledge Engine to retrieve relevant information from approved sources, and an AI Gateway to manage application access to models.

Status: Availability and implementation details to confirm. This page does not claim that either product is currently available or that specific privacy controls are implemented.

Ask about current status Explore AI engineering services

Knowledge retrieval

UniSmart Hybrid RAG Knowledge Engine

A proposed product area for retrieving relevant information from approved knowledge sources to ground AI responses. Sources, permissions, retention, and limitations need validation.

Review RAG scope →

Model access

UniSmart AI Gateway

A proposed controlled entry point for model requests. Provider support, policy behavior, logging, data handling, and deployment options need validation.

Review gateway scope →

Which products and models are available, and in which environments?
Which knowledge sources, formats, permissions, and tenant boundaries are supported?
What data is sent to each model provider, and under what provider terms?
How are prompts, responses, credentials, logs, metrics, and traces handled and retained?
What authentication, policy, rate-limit, routing, and audit controls are implemented?

Masking alone does not guarantee anonymity. Do not assume zero data retention, private inference, or compliance certification without evidence for the exact configuration.

Knowledge-grounded AI and model access.

UniSmart Hybrid RAG Knowledge Engine

UniSmart AI Gateway

Questions to settle before a deployment