Truth changes.
Your content should too.

Accuracy confirmed

Accuracy confirmed

Accuracy confirmed

at launch

at launch

at launch

today.

today.

today.

Every number, date, and promise you publish is a claim. We check them continuously and tell you the day one stops being true — before a customer or an AI answer repeats it.

Request a demo

Read the whitepaper

Trusted by

DreamAspect
aparti
Cosmo — Prompt Coach
UC San Diego

The web never stops changing

Knowledge is being created—and expiring—every second.

Millions of articles introduce new factual claims every day. Meanwhile, existing facts quietly become outdated as companies, products, prices, research, regulations, and markets change.

Articles published today

≈7,438,411

+116 every second

Estimated global publishing volume

Claims becoming outdated today

≈11,157,617

+174 every second

Modeled estimate based on changing web content

Since ChatGPT launched · 30 November 2022

≈14,197,438,411

articles published

≈21,296,157,617

claims now outdated

Publishing is continuous. Keeping every claim accurate should be too.

Watch a live page flag its own stale promises

Northwind Pricing
northwind-analytics.example/pricing · Demo page — fictional company

Northwind Pricing

Northwind Analytics keeps its published facts accurate as they age. Northwind plans start at $49 per seat a month with a 14-day free trial and 5 seats included.
What every plan includes
The Northwind Team plan checks 25,000 claims a month across 18 integrations. Support replies within 24 hours.
Reliability
Northwind keeps backups for 35 days, commits to 99.95% uptime, and stores customer data in the EU and US.
Getting started
Most Northwind teams are live in two weeks. Northwind offers annual contracts only.

Claim review

8

Advertised starting price per seat

Stale
$49 per seat→$39 per seat
Price book · verified 5 mo ago

Free trial length offered to new signups

Stale
14-day→21-day
Signup flow config · verified 3 mo ago

Seats included in the base plan

Signal
5 seats→10 seats
Plan matrix · verified 6 d ago

Monthly claim-check allowance on Team

Stale
25,000 claims→100,000 claims
Plan matrix · verified 4 mo ago

Number of supported integrations

Stale
18 integrations→31 integrations
Integrations registry · verified 4 mo ago

Advertised first-response time for support

Stale
24 hours→4 hours
Support SLA · verified 7 mo ago

Typical time to go live

Signal
two weeks→five days
Onboarding tracker · verified 5 mo ago

Available billing terms

Stale
annual contracts only→monthly or annual billing
Price book · verified 6 mo ago

Harness truth to keep knowledge current, trusted, and always accurate.

Knowledge, Refreshed

Automatically detect outdated claims, old metrics, broken links, and inconsistent messaging before they create confusion.

Truth, Continuously Checked

Every claim has a lifecycle. The Knowledge Company helps you find what changed, fix what’s stale, and keep your public and internal knowledge accurate.

Claims, Reviewed

The Knowledge Company flags outdated claims, shows the verified replacement, and lets your team approve the change.

How It Works

One claim to verify,
three steps to truth.

Published: “Reduce onboarding time by 60% and save up to $250K per year.” Published 14 Mar 2024 · two claims found. Checked 22 Aug 2026 · 891 days later · both had drifted. Rewritten: “Reduce onboarding time by 74% and save up to $410K per year.” Updated 22 Aug 2026 · verified. Source: product analytics, Q3 2026 · pricing model v4 · approved by R. Chen

Blog

Latest from the knowledge library

Knowledge freshness research paper in a mountain landscape

Why Knowledge Freshness Is AI Infrastructure

Claim verification field guide in a mountain landscape

A Field Guide to Claim Decay

The Knowledge Company whitepaper title page over a misty golden mountain landscape

Introducing The Knowledge Company

Read all articles ↗

Testimonials

What others whisper about the experience

  • It brings structure to AI research by showing what is still true. Fewer outdated sources, fewer dead ends, and dozens of hours saved every week.

    Ilya M.

    Researcher at UC San Diego

    1/4

  • Within days, it streamlined my workflow. The balance of precision and inspiration it offers is unlike anything I’ve seen.

    David K

    Indie Hacker

    2/4

  • At first I was skeptical. But the clarity it brings into complex problems feels almost like working with a second brain.

    Aria L.

    Researcher

    3/4

  • It doesn’t just answer — it reframes. Every interaction feels like it points me toward a clearer path.

    Ethan R;

    Entrepreneur

    4/4

  • It brings structure to AI research by showing what is still true. Fewer outdated sources, fewer dead ends, and dozens of hours saved every week.

    Ilya M.

    Researcher at UC San Diego

    1/4

  • Within days, it streamlined my workflow. The balance of precision and inspiration it offers is unlike anything I’ve seen.

    David K

    Indie Hacker

    2/4

  • At first I was skeptical. But the clarity it brings into complex problems feels almost like working with a second brain.

    Aria L.

    Researcher

    3/4

  • It doesn’t just answer — it reframes. Every interaction feels like it points me toward a clearer path.

    Ethan R;

    Entrepreneur

    4/4

  • It brings structure to AI research by showing what is still true. Fewer outdated sources, fewer dead ends, and dozens of hours saved every week.

    Ilya M.

    Researcher at UC San Diego

    1/4

  • Within days, it streamlined my workflow. The balance of precision and inspiration it offers is unlike anything I’ve seen.

    David K

    Indie Hacker

    2/4

  • At first I was skeptical. But the clarity it brings into complex problems feels almost like working with a second brain.

    Aria L.

    Researcher

    3/4

  • It doesn’t just answer — it reframes. Every interaction feels like it points me toward a clearer path.

    Ethan R;

    Entrepreneur

    4/4

FAQ

Your questions, answered with clarity

Is this a compliance tool or a content tool?

Today, it is focused on content accuracy. It helps teams find and fix stale or incorrect claims. Over time, this can support compliance, sales enablement, support, and AI-agent reliability.

Do I need technical knowledge to use it?

No. The platform is built for content, marketing, product, and operations teams. It surfaces the issue, explains why it may be stale, and suggests what should be reviewed or updated.

Can this help with AI answers and agents?

Yes. AI systems depend on the knowledge they are given. If the source content is outdated, the AI answer can be wrong. Knowledge Company helps maintain the trusted knowledge layer that AI agents, support teams, and customers rely on.

What kinds of claims can it detect?

It can flag outdated statistics, old product descriptions, expired partnerships, incorrect pricing language, broken references, unsupported claims, and content that no longer matches the company’s current truth.

How is this different from a normal content audit?

A normal audit is manual and usually happens once. Knowledge Company continuously checks content and claims so teams can keep their knowledge fresh as the business changes.

How is this different from Claude or ChatGPT?

Claude and ChatGPT generate answers. Knowledge Company checks whether the underlying company knowledge those answers rely on is accurate, current, and consistent. It is not another chatbot — it is the trust layer that keeps your content, claims, and AI outputs grounded in the right source of truth.

Is this a compliance tool or a content tool?

Today, it is focused on content accuracy. It helps teams find and fix stale or incorrect claims. Over time, this can support compliance, sales enablement, support, and AI-agent reliability.

Do I need technical knowledge to use it?

No. The platform is built for content, marketing, product, and operations teams. It surfaces the issue, explains why it may be stale, and suggests what should be reviewed or updated.

Can this help with AI answers and agents?

Yes. AI systems depend on the knowledge they are given. If the source content is outdated, the AI answer can be wrong. Knowledge Company helps maintain the trusted knowledge layer that AI agents, support teams, and customers rely on.

What kinds of claims can it detect?

It can flag outdated statistics, old product descriptions, expired partnerships, incorrect pricing language, broken references, unsupported claims, and content that no longer matches the company’s current truth.

How is this different from a normal content audit?

A normal audit is manual and usually happens once. Knowledge Company continuously checks content and claims so teams can keep their knowledge fresh as the business changes.

How is this different from Claude or ChatGPT?

Claude and ChatGPT generate answers. Knowledge Company checks whether the underlying company knowledge those answers rely on is accurate, current, and consistent. It is not another chatbot — it is the trust layer that keeps your content, claims, and AI outputs grounded in the right source of truth.

Power enterprise AI
with knowledge you can trust

The Knowledge Company keeps every answer, workflow, and customer conversation grounded in knowledge that is current and checked.

Start with your website

No install, no CMS access needed for the audit

Request a demo