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In-House Health

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uuid00023aw

Namestring
In-House Health
Legal namestring
In-House Health, Inc.
Websiteurl
inhouse.health
Company typeenum
Private
Founded yearint
2021
Descriptiontext

In-House Health is a privately held, Denver-headquartered software company that builds an AI-driven predictive scheduling and workforce management SaaS platform purpose-built for nursing teams. The platform addresses the nursing capacity crisis by replacing spreadsheet-based scheduling with automated, AI-generated schedules that balance patient workload, skill mix, union and regulatory requirements, and individual nurse preferences. Its three core modules — Prediction and Automation, End-to-End Scheduling & Communications, and Facility and Float Pool Management — are supported by proprietary algorithms including the Workload Score (WLS), Adjusted PPN, Department Matcher Model, Reliability Score, Day Shift Corrective Algorithm, and Length of Stay Prediction, alongside an AI Copilot that flags unbalanced shifts up to three weeks in advance. A dedicated Skilled Nursing Facility (SNF) vertical and an Ambulatory Surgical Center offering extend the platform beyond inpatient acute care.

The company sells exclusively through direct enterprise sales targeting Chief Nursing Officers, Directors of Nursing, unit managers, and central scheduling coordinators at hospitals, IDNs, behavioral health facilities, skilled nursing facilities, and ambulatory surgical centers. Pricing is quote-based per Master Services Agreement on annual billing terms, with implementation and onboarding delivered as professional services over a standard four-week timeline (two weeks for SNF). The company serves North America and Israel, with operational hubs in Denver and Tel Aviv, and has closed one documented enterprise deployment at Assuta Medical Centers, with results published in Becker's Hospital Review. As of May 2024, the company had raised $4 million in seed funding co-led by NEA and TMV (total disclosed funding $5.4 million), is founder-led by Ari Brenner (CEO) and Shachar Har Zvi (Head of Engineering), and is staffed at 1-10 employees with active hiring across Denver, New York, and Tel Aviv.

Short descriptiontext

In-House Health is an AI-driven SaaS platform that provides predictive nurse scheduling and workforce management for hospitals, skilled nursing facilities, behavioral health, and ambulatory surgical centers, selling exclusively via direct enterprise sales to nursing leadership.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersDenver, United States
HQ citystring
Denver
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
nurse workforce management, predictive nurse scheduling, healthcare staffing software, clinical workforce optimization, nursing float pool management
Industry1 code
1Virtual Nursing, Telemonitoring & Command Center Platforms
CodeHLACAFAHPrimaryYes
NAICS code1 code
  • Software Publishers513210
SIC code1 code
  • Services-Prepackaged Software7372
Product category
Healthcare Workforce Management Software
Social media profiles2 records
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model2 records
1SaaS Platform Subscription
TypeSubscription Recurring
Description

The company operates as a SaaS platform sold on a subscription basis to healthcare facilities. Subscription terms include Initial Term and Renewal Terms, with automatic annual renewal unless 30-day notice is provided. Subscription fees are invoiced per MSA with periodic increases possible.

inhouse.health
2Professional Services (Implementation & Onboarding)
TypeProfessional Services
Description

Implementation and onboarding services are provided as part of the platform launch, including on-site support during go-live and dedicated post-launch support. Custom setup fees may apply and are non-refundable.

inhouse.health
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Personnel, Technology or R&D, Marketing or Sales, Operations
Pricing details1 tier
1Enterprise SaaS Subscription — pricing by agreement
ModelSubscriptionBilling cadenceAnnual
Notes

No public pricing is available. The company offers a free opportunity assessment as a top-of-funnel engagement. All fees are quoted per MSA (Master Services Agreement), with subscription terms and renewal conditions defined contractually.

inhouse.health
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

In-House Health sells an AI-driven SaaS scheduling and management platform for nursing teams in hospitals, skilled nursing facilities, behavioral health facilities, and ambulatory surgical centers. The platform combines predictive census and acuity forecasting, AI Copilot–powered schedule redesign, self-scheduling and preference tracking, and an executive Nursing Command Center dashboard, and is sold as an annual enterprise subscription with implementation services.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 7 values shown
  • $270K cost savings per unit, per year
+6 more records
Product overview1 text field

In-House Health offers an AI-driven scheduling and management platform for modern nursing teams, purpose-built to address the nursing workforce crisis. The platform consists of three integrated core modules: (1) Prediction and Automation for shift-level census prediction and AI Copilot-powered schedule redesign; (2) End-to-End Scheduling & Communications for self-scheduling, shift communications, and payroll reconciliation; and (3) Facility and Float Pool Management for executive dashboarding and cross-facility resource allocation. The platform operates as an automation layer on top of existing scheduling systems or as a complete end-to-end solution. A specialized Skilled Nursing vertical serves skilled nursing facilities with acuity-based staffing recommendations. The system integrates predictive analytics, preference tracking, and AI optimization to help nursing teams reduce scheduling time, achieve labor cost targets, and improve patient care outcomes.

Product and service4 records
1Prediction and Automation
CategoryCore Platform Module
Description

Shift-level census and acuity prediction module using proprietary AI algorithms that forecast patient workload 1–3 weeks in advance, adjusted for patient acuity, volume of admits/discharges, and team tenure. Includes AI Copilot for automatic schedule redesign recommendations. Sold to hospitals and health systems as part of the In-House Health enterprise subscription.

2End-to-End Scheduling & Communications
CategoryCore Platform Module
Description

Complete scheduling solution supporting self-scheduling, shift assignment communications, and payroll reconciliation. Includes button-push text and email messaging that automatically resolves open slots once confirmed. Sold as a core module of the In-House Health platform subscription.

3Facility and Float Pool Management
CategoryCore Platform Module
Description

Executive-level dashboarding and integrated float pool assignment enabling hospital-wide visibility into staffing performance. Includes a Nursing Command Center for real-time monitoring of census trends, staffing forecasts, and cross-facility resource allocation. Sold as a core module of the In-House Health platform subscription.

4Skilled Nursing Solution
CategoryVertical Solution
Description

Specialized scheduling solution for skilled nursing facilities that optimizes staffing to reduce reliance on agency and overtime while meeting PPD and labor cost targets. Includes preference tracking and custom acuity-based staffing recommendations tailored to SNF, rehab, and memory care operations. Sold to skilled nursing, rehab, and memory care operators as a vertical specialization of the platform.

Scale indicator10 records

Each record includes

Type, Value, Description, Source

Partnership1 partner
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Assuta Medical Centers, Israel's premier healthcare system, implemented In-House Health's nurse workforce optimization platform. The partnership involved clinical and engineering team collaboration, with Assuta's CNO using In-House's Nursing Command Center for weekend preparation and unit-level staffing decisions. Results included 28% reduction in scheduling difficulty and 14% increase in confidence in schedule accuracy. Published in Becker's Hospital Review.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeEmerging player
Description

Clipboard Health operates a healthcare shift marketplace connecting nurses and SNFs. It is an emerging player because it addresses the same nurse staffing pain points (agency reduction, shift fill) but via a marketplace model rather than enterprise scheduling software, partially overlapping with In-House Health's open-shift routing.

TypeDirect peer
Description

QGenda offers provider and healthcare workforce scheduling, including nurse and clinician scheduling, on-call management, and capacity planning. It is a direct peer because it sells enterprise scheduling into the same CNO/DoN buyer personas that In-House Health targets.

TypeDirect peer
Description

Shiftboard provides shift scheduling and workforce management software for healthcare and other industries. It is a direct peer because it competes for the same nurse scheduling and float pool use cases that In-House Health addresses, with similar enterprise SaaS GTM into hospitals and SNFs.

TypeBroad incumbent
Description

UKG is a large incumbent workforce management and HCM vendor with deep healthcare footprint (UKG Ready, UKG Pro, Healthcare Add-Ons). It is a broad incumbent because it offers scheduling and workforce analytics as part of a much wider HCM suite that competes for the same CNO/CFO buyers.

TypeBroad incumbent
Description

symplr is a healthcare operations platform spanning workforce, provider data, and compliance. It is a broad incumbent because it bundles workforce scheduling with broader healthcare operations capabilities, competing for similar enterprise healthcare budgets though not exclusively focused on nursing scheduling.

TypeDirect peer
Description

Deputy is a shift scheduling and workforce management SaaS used across healthcare, hospitality, and other shift-heavy industries. It is a direct peer because it offers AI-assisted scheduling, self-scheduling, and shift swapping that overlap with In-House Health's core feature set, though with broader vertical focus.

TypeBroad incumbent
Description

Workday is a large enterprise HCM and workforce management vendor increasingly selling into health systems. It is a broad incumbent because its scheduling, time tracking, and people analytics capabilities compete with In-House Health at the strategic workforce layer, even if nursing-specific depth is lighter.

TypeDirect peer
Description

Schedule360 is a nurse and healthcare staff scheduling platform serving hospitals, clinics, and SNFs. It is a direct peer because it competes for the same shift scheduling and float pool management use cases with similar enterprise SaaS delivery into nursing leadership.

TypeDirect peer
Description

Smartlinx delivers workforce management solutions purpose-built for skilled nursing, senior living, and healthcare providers. It is a direct peer because it targets the same SNF and acute care scheduling customers with comparable claims around agency cost reduction, overtime control, and predictive staffing.

TypeDirect peer
Description

Intrigma provides healthcare-specific employee scheduling software used by hospitals and physician groups. It is a direct peer because it focuses on the same nurse and clinical scheduling workflows, with comparable emphasis on ease-of-use for schedulers and integration with clinical operations.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers3 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment8 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability8 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature10 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles5 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds1 record

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors4 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

In-House Health

Healthcare Workforce Management Softwareinhouse.health

In-House Health is an AI-driven SaaS platform that provides predictive nurse scheduling and workforce management for hospitals, skilled nursing facilities, behavioral health, and ambulatory surgical centers, selling exclusively via direct enterprise sales to nursing leadership.

What In-House Health does

In-House Health is a privately held, Denver-headquartered software company that builds an AI-driven predictive scheduling and workforce management SaaS platform purpose-built for nursing teams. The platform addresses the nursing capacity crisis by replacing spreadsheet-based scheduling with automated, AI-generated schedules that balance patient workload, skill mix, union and regulatory requirements, and individual nurse preferences. Its three core modules — Prediction and Automation, End-to-End Scheduling & Communications, and Facility and Float Pool Management — are supported by proprietary algorithms including the Workload Score (WLS), Adjusted PPN, Department Matcher Model, Reliability Score, Day Shift Corrective Algorithm, and Length of Stay Prediction, alongside an AI Copilot that flags unbalanced shifts up to three weeks in advance. A dedicated Skilled Nursing Facility (SNF) vertical and an Ambulatory Surgical Center offering extend the platform beyond inpatient acute care.

The company sells exclusively through direct enterprise sales targeting Chief Nursing Officers, Directors of Nursing, unit managers, and central scheduling coordinators at hospitals, IDNs, behavioral health facilities, skilled nursing facilities, and ambulatory surgical centers. Pricing is quote-based per Master Services Agreement on annual billing terms, with implementation and onboarding delivered as professional services over a standard four-week timeline (two weeks for SNF). The company serves North America and Israel, with operational hubs in Denver and Tel Aviv, and has closed one documented enterprise deployment at Assuta Medical Centers, with results published in Becker's Hospital Review. As of May 2024, the company had raised $4 million in seed funding co-led by NEA and TMV (total disclosed funding $5.4 million), is founder-led by Ari Brenner (CEO) and Shachar Har Zvi (Head of Engineering), and is staffed at 1-10 employees with active hiring across Denver, New York, and Tel Aviv.

In-House Health firmographics

Firmographics
Name
In-House Health
Legal name
In-House Health, Inc.
Website
https://inhouse.health
Company type
Private
Founded year
2021
Operating status
Operating
Headcount range
1–10 employees
Short description
In-House Health is an AI-driven SaaS platform that provides predictive nurse scheduling and workforce management for hospitals, skilled nursing facilities, behavioral health, and ambulatory surgical centers, selling exclusively via direct enterprise sales to nursing leadership.
Ownership category
akta.pro rank

In-House Health industry classification

Industry
Product category
Healthcare Workforce Management Software
NAICS
Software Publishers (513210)
SIC
Services-Prepackaged Software (7372)
akta.pro primary industry
Virtual Nursing, Telemonitoring & Command Center Platforms (HLACAFAH)

Keywords

  • Nurse workforce management
  • Predictive nurse scheduling
  • Healthcare staffing software
  • Clinical workforce optimization
  • Nursing float pool management

Where In-House Health is headquartered

Location

Headquarters

HQ city
Denver
HQ country
United States
HQ region
North America

Offices2 records

Markets served

In-House Health business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

  1. SaaS Platform Subscription: The company operates as a SaaS platform sold on a subscription basis to healthcare facilities. Subscription terms include Initial Term and Renewal Terms, with automatic annual renewal unless 30-day notice is provided. Subscription fees are invoiced per MSA with periodic increases possible.
  2. Professional Services (Implementation & Onboarding): Implementation and onboarding services are provided as part of the platform launch, including on-site support during go-live and dedicated post-launch support. Custom setup fees may apply and are non-refundable.

Pricing tiers

ModelBillingPrice
SubscriptionAnnualEnterprise SaaS Subscription — pricing by agreement

Go-to-market motion2 records

Distribution channels1 record

Marketing channels6 records

In-House Health product offering

Product offering

Core offering

In-House Health sells an AI-driven SaaS scheduling and management platform for nursing teams in hospitals, skilled nursing facilities, behavioral health facilities, and ambulatory surgical centers. The platform combines predictive census and acuity forecasting, AI Copilot–powered schedule redesign, self-scheduling and preference tracking, and an executive Nursing Command Center dashboard, and is sold as an annual enterprise subscription with implementation services.

Product overview

In-House Health offers an AI-driven scheduling and management platform for modern nursing teams, purpose-built to address the nursing workforce crisis. The platform consists of three integrated core modules: (1) Prediction and Automation for shift-level census prediction and AI Copilot-powered schedule redesign; (2) End-to-End Scheduling & Communications for self-scheduling, shift communications, and payroll reconciliation; and (3) Facility and Float Pool Management for executive dashboarding and cross-facility resource allocation. The platform operates as an automation layer on top of existing scheduling systems or as a complete end-to-end solution. A specialized Skilled Nursing vertical serves skilled nursing facilities with acuity-based staffing recommendations. The system integrates predictive analytics, preference tracking, and AI optimization to help nursing teams reduce scheduling time, achieve labor cost targets, and improve patient care outcomes.

Differentiator

Problem solved

Functional benefit

Products and services

  • Prediction and Automation Shift-level census and acuity prediction module using proprietary AI algorithms that forecast patient workload 1–3 weeks in advance, adjusted for patient acuity, volume of admits/discharges, and team tenure. Includes AI Copilot for automatic schedule redesign recommendations. Sold to hospitals and health systems as part of the In-House Health enterprise subscription.
  • End-to-End Scheduling & Communications Complete scheduling solution supporting self-scheduling, shift assignment communications, and payroll reconciliation. Includes button-push text and email messaging that automatically resolves open slots once confirmed. Sold as a core module of the In-House Health platform subscription.
  • Facility and Float Pool Management Executive-level dashboarding and integrated float pool assignment enabling hospital-wide visibility into staffing performance. Includes a Nursing Command Center for real-time monitoring of census trends, staffing forecasts, and cross-facility resource allocation. Sold as a core module of the In-House Health platform subscription.
  • Skilled Nursing Solution Specialized scheduling solution for skilled nursing facilities that optimizes staffing to reduce reliance on agency and overtime while meeting PPD and labor cost targets. Includes preference tracking and custom acuity-based staffing recommendations tailored to SNF, rehab, and memory care operations. Sold to skilled nursing, rehab, and memory care operators as a vertical specialization of the platform.

Quantifiable outcome

  • $270K cost savings per unit, per year
  • +6 more outcomes

Companies that use In-House Health

Customer profile

Named customers3 records

Segments8 records

Ideal customer profiles4 records

In-House Health technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability8 records

Feature10 records

In-House Health partnerships and signals

Strategic signal

Partnerships

One partnership is on record.

  • Assuta Medical CenterscoreStrategic or Co-development PartnerAssuta Medical Centers, Israel's premier healthcare system, implemented In-House Health's nurse workforce optimization platform. The partnership involved clinical and engineering team collaboration, with Assuta's CNO using In-House's Nursing Command Center for weekend preparation and unit-level staffing decisions. Results included 28% reduction in scheduling difficulty and 14% increase in confidence in schedule accuracy. Published in Becker's Hospital Review.

Scale indicators10 records

Recent moves6 records

Expansion highlights6 records

In-House Health competitors and assessment

Company assessment

Emerging players

  • Clipboard Health: Clipboard Health operates a healthcare shift marketplace connecting nurses and SNFs. It is an emerging player because it addresses the same nurse staffing pain points (agency reduction, shift fill) but via a marketplace model rather than enterprise scheduling software, partially overlapping with In-House Health's open-shift routing.

Direct peers

  • QGenda: QGenda offers provider and healthcare workforce scheduling, including nurse and clinician scheduling, on-call management, and capacity planning. It is a direct peer because it sells enterprise scheduling into the same CNO/DoN buyer personas that In-House Health targets.
  • Shiftboard: Shiftboard provides shift scheduling and workforce management software for healthcare and other industries. It is a direct peer because it competes for the same nurse scheduling and float pool use cases that In-House Health addresses, with similar enterprise SaaS GTM into hospitals and SNFs.
  • Deputy: Deputy is a shift scheduling and workforce management SaaS used across healthcare, hospitality, and other shift-heavy industries. It is a direct peer because it offers AI-assisted scheduling, self-scheduling, and shift swapping that overlap with In-House Health's core feature set, though with broader vertical focus.
  • Schedule360: Schedule360 is a nurse and healthcare staff scheduling platform serving hospitals, clinics, and SNFs. It is a direct peer because it competes for the same shift scheduling and float pool management use cases with similar enterprise SaaS delivery into nursing leadership.
  • Smartlinx: Smartlinx delivers workforce management solutions purpose-built for skilled nursing, senior living, and healthcare providers. It is a direct peer because it targets the same SNF and acute care scheduling customers with comparable claims around agency cost reduction, overtime control, and predictive staffing.
  • Intrigma: Intrigma provides healthcare-specific employee scheduling software used by hospitals and physician groups. It is a direct peer because it focuses on the same nurse and clinical scheduling workflows, with comparable emphasis on ease-of-use for schedulers and integration with clinical operations.

Broad incumbents

  • UKG (Ultimate Kronos Group): UKG is a large incumbent workforce management and HCM vendor with deep healthcare footprint (UKG Ready, UKG Pro, Healthcare Add-Ons). It is a broad incumbent because it offers scheduling and workforce analytics as part of a much wider HCM suite that competes for the same CNO/CFO buyers.
  • symplr: symplr is a healthcare operations platform spanning workforce, provider data, and compliance. It is a broad incumbent because it bundles workforce scheduling with broader healthcare operations capabilities, competing for similar enterprise healthcare budgets though not exclusively focused on nursing scheduling.
  • Workday: Workday is a large enterprise HCM and workforce management vendor increasingly selling into health systems. It is a broad incumbent because its scheduling, time tracking, and people analytics capabilities compete with In-House Health at the strategic workforce layer, even if nursing-specific depth is lighter.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

In-House Health social profiles

Digital presence

In-House Health financial estimates

Financial estimate

Revenue estimate

Valuation estimate

In-House Health leadership team

Management profile

Number of profiles

Profiles5 records

In-House Health funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

In-House Health M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about In-House Health

What does In-House Health do?

In-House Health sells an AI-driven SaaS scheduling and management platform for nursing teams in hospitals, skilled nursing facilities, behavioral health facilities, and ambulatory surgical centers. The platform combines predictive census and acuity forecasting, AI Copilot–powered schedule redesign, self-scheduling and preference tracking, and an executive Nursing Command Center dashboard, and is sold as an annual enterprise subscription with implementation services.

Is In-House Health a public or private company?

In-House Health is a private company. It is classified as venture growth investor backed and is currently operating.

When was In-House Health founded?

In-House Health was founded in 2021. It employs 1 to 10 people.

Where is In-House Health based?

In-House Health is headquartered in Denver, United States, in the North America region.

How does In-House Health make money?

Two revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are professional Services (Implementation & Onboarding).

Who are In-House Health's main competitors?

Clipboard Health is listed as an emerging player. Direct peers are QGenda, Shiftboard, Deputy, Schedule360, Smartlinx and Intrigma. Broad incumbents are UKG (Ultimate Kronos Group), symplr and Workday.

Does In-House Health have an API?

No public API is recorded for In-House Health.

What industry is In-House Health in?

In-House Health's product category is Healthcare Workforce Management Software. Its primary akta.pro industry code is HLACAFAH, Virtual Nursing, Telemonitoring & Command Center Platforms. Its NAICS code is 513210 and its SIC code is 7372.

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