MCP简体中文Upgrade
Market/Categories/Business Specialist/In-House

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

In-Houseinhouse.health

In-House provides an AI-powered scheduling and management platform for nursing teams, helping to achieve cost savings, improve working conditions, and enhance patient outcomes.

Business Specialistinhouse.healthTracked since 2026-08-211 discovery source
234Backlinks
97Referring domains
17Domain authority
+8.4%Referring domains · 90 days

Authority & distribution

How strong is In-House’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

234Current snapshot

Referring domains

97Current snapshot

Authority

17Domain authority · category median 22

90-day move

+8.4%Referring domains, last 90 days
At 17, In-House sits below the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

See the trajectoryOpen the full profile

Traffic & engagement

Where In-House ranks

Measured · Pro

Measured for this product: global rank and country rank.

Unlock this profileOpen the full profile

AI referral visibility

Which AI assistants are already sending In-House traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

Unlock this profileOpen the full profile

Product profile

What In-House is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“In-House”

In-House provides an AI-powered scheduling and management platform for nursing teams, helping to achieve cost savings, improve working conditions, and enhance patient outcomes.

Business SpecialistSeen 2026-08-21 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://www.inhouse.health

Observed across 1 discovery source.

Research questions

What the evidence answers about In-House.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does In-House do and what problem does it solve?

In-House is an AI-powered scheduling and management platform for nursing teams. It automates nurse scheduling to achieve cost savings, improve working conditions, and address the growing complexity of nurse management.

Who is the In-House platform for?

In-House is designed for nursing executives, unit managers, central scheduling teams, and direct care nurses. It serves healthcare organizations looking to move from siloed spreadsheets to integrated, real-time staffing and budgetary management.

What features or capabilities does the In-House platform offer?

The platform offers predictive, automatic scheduling that can adjust for patient workload, skill mix, and regulatory rules. It can function as a standalone end-to-end scheduling solution or as an automation layer on top of an existing base scheduling system.

What specific cost savings or benefits does the product claim to deliver?

The product claims to deliver $270K in cost savings per unit, per year, and 5.5 hours of weekly time savings per user. It also reports a 31% improvement in shifts at budget and can be implemented in 4 weeks with immediate budget impact.

What is In-House used for and in what situations?

In-House is used for automating nurse scheduling and workforce management in healthcare settings. It is particularly useful for handling complex scheduling tasks involving patient workload, skill mix, and union or regulatory requirements.

What is In-House Health?

In-House Health is an AI-driven nurse scheduling platform that uses predictive AI to automate scheduling and management for modern nursing teams, aiming to restore sustainability to the profession.

Behind the lock

Unlock full In-House intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which one of them does it, and the page they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured