# Knowledge Company vs Grounding Infrastructure

> Published by **Knowledge Company** (knowledgecompany.ai).
> Canonical source: https://knowledgecompany.ai/compare/grounding-infrastructure
> Markdown mirror, generated 2026-09-02. Cite the canonical URL.

Grounding models score sentences against retrieved passages, and several are free. Knowledge Company maintains the record they ground against.

Comparison

Hallucination detection and grounding evaluation, scoring whether a generated sentence is supported by a retrieved passage.

LLM evaluation

Last verified Sep 1, 2026

In short

Grounding models score whether a sentence is supported by the passage retrieved, with no opinion on whether that passage is correct. They are infrastructure we build on: if verification is free, the value is entirely in the record being verified against.

## The four coordinates

Every company in this landscape can be located by four questions. Applied consistently, the apparent crowding resolves into something much narrower.

Coordinate

Knowledge Company

Grounding Infrastructure

Ground truth

- **Knowledge Company** - A maintained claim record with substantiation
- **Grounding Infrastructure** - The retrieved context passage

What fires it

- **Knowledge Company** - A fact changes
- **Grounding Infrastructure** - An LLM call

What it writes to

- **Knowledge Company** - Every surface the claim appears on
- **Grounding Infrastructure** - Nothing — scores only

Who buys it

- **Knowledge Company** - Risk, compliance and marketing operations
- **Grounding Infrastructure** - ML / platform engineering

## What they do

Patronus Lynx scores sentence-level grounding against a context passage and ships as open weights. Galileo Luna runs groundedness through Evaluate and Protect. Arize Phoenix offers OpenTelemetry-native tracing with RAG evaluation templates.

These are foundational tools, and several are free.

## How we differ

These are suppliers rather than competitors, and they make our argument for us. Sentence-level claim grounding is already available as an open-weights model at no cost, which means the checking primitive cannot be anyone's moat.

What they ground against is whatever passage was retrieved; they have no opinion on whether that passage is correct. If verification is free, the value is entirely in the record being verified against — which is the thing Knowledge Company maintains.

## Which one you want

You are building an AI system and need to evaluate whether generations are grounded in retrieved context.

You need the retrieved context itself to be correct and current.

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*This document is the markdown mirror of https://knowledgecompany.ai/compare/grounding-infrastructure, published by Knowledge Company -
a knowledge freshness platform that detects, verifies and updates outdated claims in company content.*

*Mirror index: https://llms.knowledgecompany.ai/index.md - Generated 2026-09-02*