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§ Private Profile · New York City, NY, USA
SaaS platform for AI-driven nurse scheduling and workforce management in hospitals, optimizing shifts, based in Denver, United States.
In-House Health, based in Denver, United States, develops an AI-driven scheduling and management platform for nursing teams in hospitals. The SaaS platform optimizes nurse shifts to reduce labor costs by over 10% and aims to save nurse managers 5+ hours weekly, addressing critical workforce shortages. It also enables hospitals to save approximately $800,000 annually per facility in labor costs. The company has raised a total of $5.4 million to date, including a $4 million seed round in May 2024. This seed round was led by investors NEA and TMV, with participation from Vine Ventures and Longevity Venture Partners. In-House Health was founded in 2023 by Ari Brenner, Sergey Vasilenko, and Shachar Har Zvi. Its business model centers on saaS platform for hospital nurse scheduling, generating revenue through subscriptions or licensing to healthcare facilities.
In-House Health has raised $4.0M across 1 funding round.
In-House Health has raised $4.0M in total across 1 funding round.
In-House Health has raised $4.0M across 1 funding round. Most recently, it raised $4.0M Seed in May 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| May 1, 2024 | $4M Seed | TMV, Blake WU | 43, AngelList, B Capital Group, Blume Ventures, KRM Interests LLC, Paul Walker, NEW Enterprise Associates, O'Shaughnessy Ventures, SparkLabs Global Ventures, Utec The University OF Tokyo Edge Capital Partners, Longevity Venture Partners, Vine Ventures | Announced |
In-House Health has raised $4.0M in total across 1 funding round.
In-House Health's investors include TMV, Blake Wu, 43, AngelList, B Capital Group, Blume Ventures, KRM Interests LLC, Paul Walker, New Enterprise Associates, O'Shaughnessy Ventures, SparkLabs Global Ventures, UTEC - The University of Tokyo Edge Capital Partners.
In-House Health is a health technology company founded in 2023 that builds an AI-driven scheduling and management platform for modern nursing teams.[1][2][3] It serves hospitals and health systems facing nurse shortages and rising costs, solving inefficiencies in manual staffing workflows by using machine learning trained on millions of patient records to predict clinical demand, automate schedules, personalize shifts to patient needs, and reduce reliance on costly agencies.[1][2][3] The platform cuts scheduling time by half or more, lowers labor costs by over 10%, improves nurse satisfaction, reduces burnout, and enhances patient safety and outcomes; it's currently live in hospitals managing over 800 nurses with quick adoption.[2][3] Backed by $5.4 million in seed funding led by New Enterprise Associates (NEA) and TMV (with Vine Ventures and Longevity Venture Partners), the company is headquartered in New York City with offices in Denver and Tel Aviv, employing 29-39 people, and shows strong early growth momentum through hospital partnerships and VC support for scaling.[1][2][3]
In-House Health was co-founded in 2023 by Ari Brenner, Sergey Vasilenko, and Shachar Har Zvi, blending healthcare operations, frontline nursing, and technical expertise.[1][2][3] Brenner, former Co-Founder and COO of Stellar Health (a value-based care tech firm), brought operational know-how; Vasilenko, a former critical care nurse turned EMR/clinical informatics specialist, provided bedside and informatics insights; and Har Zvi contributed technical leadership.[1][3] The idea emerged from observing hospitals' struggles with manual scheduling amid workforce shortages, agency dependency, and burnout, prompting an AI solution trained on patient data for predictive staffing.[2][3] Early traction came swiftly: the company officially launched during National Nurses Week 2024, raised $4 million in seed funding (totaling $5.4 million with pre-seed), and deployed its platform in hospitals managing 800+ nurses, proving easy adoption for unit managers.[2][3]
In-House Health rides the AI-healthcare workforce transformation wave, targeting the U.S. nurse shortage crisis—exacerbated by burnout, retirements, and post-pandemic demands—where hospitals face margin pressure from agency staffing costs.[2][3] Timing is ideal amid surging AI adoption in healthcare (e.g., predictive analytics for operations), with market forces like rising labor expenses (10-20% of hospital budgets) and regulatory pushes for efficiency favoring solutions that cut external dependencies.[1][2] It influences the ecosystem by pioneering in-house AI scheduling, potentially setting standards for hospital tech stacks, boosting nurse retention industry-wide, and enabling scalable care delivery as health systems digitize amid aging populations and chronic disease growth.[1][3]
In-House Health is poised to expand from its 800-nurse footprint to enterprise-scale deployments, leveraging seed capital for product acceleration and market penetration in a $100B+ staffing market.[1][2] Trends like advanced AI agents (as hinted in their blog) and multimodal clinical data integration will shape its path, potentially integrating with EMRs for broader insights.[5][6] Its influence could evolve from niche innovator to category leader, redefining nursing sustainability if it sustains adoption amid VC-fueled growth—echoing its mission to make bedside care a "career of choice" through tech that truly works.[1][3]