Companies

Kabilah

kabilah.com

Kabilah builds enterprise generative AI software that streamlines nursing handoffs, reporting, tasks, and EHR documentation.

HQNew York City, New York, United States
2 active roles
Jobs checked 3d ago
Specialization
Speech
Business
Software Applications
Market
Healthcare
Ecosystem
Applications
Customers
Enterprises
More details
Organization type
Commercial Company
Ecosystem
Applications
Business
Software Applications
Specialization
Speech
Market
Healthcare
Customers
Enterprises
Delivery models
Hosted Software
Revenue models
Not classified
Listing status
Not classified
Latest equity round
Not classified
Reported funding amount
Not classified

About

Kabilah builds an enterprise-grade generative AI platform for nursing workflows, selling to hospitals and health systems. Its tools support voice-based handoffs, digital report sheets, guided task management, and EHR-integrated charting, differentiating it through nursing-specific workflow automation aimed at reducing documentation burden and burnout.

Market

Kabilah competes in enterprise healthcare workflow automation and clinical communication, with a specific focus on AI-enabled inpatient nursing operations. It positions itself as an end-to-end nursing platform spanning handoffs, digital report sheets, task management, and EHR charting, differentiated by nursing-specific AI models, FHIR-based integration, enterprise security, and rapid deployment. Its closest named alternatives are Luma, Commure Engage, and OhMD, while PerfectServe, TigerConnect, Vocera, and Spok represent broader clinical-communication incumbents.

Target Customers

Kabilah targets hospitals and health systems with inpatient nursing operations, particularly large enterprise organizations. Its primary buyers and champions are hospital executives and nursing leadership; publicly listed customers include Stanford Medicine and Mount Sinai Health System, including one organization with 5,001+ employees.

At a Glance

Problem

Kabilah addresses a high-risk, fragmented problem in inpatient nursing: nurses must continuously reconstruct changing patient conditions, medications, labs, care plans, and interdisciplinary updates, often across paper report sheets, verbal handoffs, and repetitive EHR documentation. The killer use case is shift change, where missing or inaccurate context can delay escalation, create preventable complications, extend length of stay, and increase avoidable hospital spending. The same administrative and communication burden contributes to nurse burnout and turnover, making the problem both a patient-safety issue and an operating-cost issue for hospitals.

Product / Service

Kabilah is an enterprise-grade, HIPAA-compliant AI platform for nursing workflows. It replaces fragmented paper reports with digital patient advocates that can be customized to show pertinent information, optionally populated from the EHR, and intelligently summarized for the next nurse. The broader platform supports complete verbal handoffs, voice-to-text capture, context-aware task lists, and export of report information into EHR notes and flowsheets, reducing redundant charting while keeping nurses focused on patient care.

The delivery model is enterprise software sold to hospitals and health systems, with compatibility across major EHRs through standard FHIR protocols. Kabilah says deployments can go live in two to four weeks and include security controls, encryption, onsite support, governance customization, and an analytics portal for monitoring usage and nursing-quality metrics.

Market

Kabilah competes in HealthTech and healthcare IT, specifically the emerging category of nursing-focused clinical workflow, care-team coordination, and generative-AI software for hospitals and health systems. Publicly identified alternatives include Meditech, Qventus, and TigerConnect, while Elion lists Luma, Commure Engage, and OhMD as similar products; these appear to be a mix of direct and adjacent competitors rather than an established peer set dedicated entirely to inpatient nursing handoffs.

The company was founded in 2024, is a Winter 2024 Y Combinator company listed as active, and has raised $500,000 in pre-seed funding from Y Combinator and Pioneer Fund. Elion reports two verified hospital or health-system customers, Stanford Medicine and Mount Sinai Health System. A third-party Latka profile estimates $440,000 of 2025 revenue, so Kabilah is better characterized as an early commercial company than clearly pre-revenue, although the public evidence does not establish whether that estimate represents recurring paid deployments.

Founders & Leadership

Sarah RazaFounder
Co-Founder & CEO
Umar NadeemFounder
Co-Founder & CTO
Josie SutcliffeChief Marketing Officer
Ahmad Yousaf, MD, MBAChief of Medicine

Funding History

2024-04
Pre-Seed (Crunchbase) / Seed (Tracxn)$500K

Y Combinator

Recent News

2026-03-18other
Beyond Documentation: How Kabilah Is Redefining ROI for Nursing AI

Becker’s Hospital Review featured Kabilah in an article arguing that healthcare systems should evaluate nursing AI beyond documentation alone. Kabilah’s stated thesis is that improved nurse situational awareness can improve overall system performance.

Active Roles

2
New York, NY, US/Engineering/66d ago
New York, NY, US/Engineering/66d ago

Business Model

Kabilah appears to use a demo-led enterprise software model, charging hospitals and health systems for access to its nursing AI platform. Public sources indicate enterprise sales but do not disclose specific pricing, subscription terms, or other revenue streams.

Products

AI-powered Patient Advocates and digital report sheetsVerbal handoff and transitions-of-care workflowGuided, context-aware nursing task managementEHR-integrated charting and flowsheet completionVoice-to-text nursing documentationInteractive EHR data summaries and patient-history generation

Customers

Stanford MedicineMount Sinai Health System

Tech Stack

Generative AI and AI-agent architectureNursing-specific AI modelsVoice-to-textPythonMicrosoft Azure and cloud infrastructureiOS and Android interfacesHL7 FHIR protocols for EHR integrationEncrypted, HIPAA-compliant cloud processing

Competitors

Luma
Commure Engage
OhMD
PerfectServe
TigerConnect
Vocera (Stryker)
Spok