AI Infrastructure

Enterprise RAG Gateway

A hardened gateway that adds retrieval, guardrails, and audit logging in front of any model endpoint.

All products

Input/output guardrails + redaction

Retrieval injected at the edge

Full audit log of every request

Overview

The Enterprise RAG Gateway is the control point between your users and your models. It injects grounded context, enforces input and output guardrails, redacts sensitive data, and logs every request for audit — turning a raw model endpoint into something a security team will sign off on.

How it works

Every request to your model passes through the gateway first: retrieval is injected at the edge, inputs and outputs are checked against your guardrail policies, and sensitive fields are redacted before anything is logged. Nothing reaches your model — or your users — without passing through that layer.

What's included

A hardened API gateway, configurable input/output guardrails, PII redaction, and a full, queryable audit log of every request and response.

See it in action

Book a walkthrough and we'll show it running against a stack like yours.

All products

AI Context Platform

A managed context layer that assembles, ranks, and serves the right knowledge to your models on every request.

AI Model Aggregator

One API in front of every major model provider, with routing, fallbacks, and unified billing — an OpenRouter you can run yourself.

Agent Orchestration Runtime

A runtime for multi-step agents — tool calls, state, retries, and human-in-the-loop — running reliably in production.

Vector Memory Store

A managed vector database tuned for retrieval workloads — fast, filtered, and horizontally scalable.

Prompt Evaluation Suite

Test, score, and regression-check prompts and model changes before they reach production.