- Specialization
- Speech
- Business
- Software Applications
- Market
- Healthcare
- Ecosystem
- Agents
- Customers
Small Businessesand 1 more customers valuesLess
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Agents
- Business
- Software Applications
- Specialization
- Speech
- Market
- Healthcare
- Customers
- Small Businesses, Enterprises
- Delivery models
- Hosted Software
- Revenue models
- Usage Based
- Listing status
- Not classified
- Latest equity round
- Seed
- Reported funding amount
- $10M-$50M
About
Zingage builds an AI operations platform for home-care agencies, with specialized agents automating scheduling, phone operations, compliance, recruiting, and caregiver engagement. Its differentiation is a 24/7 integrated operator designed to help agencies grow without expanding back-office headcount, already serving more than 500 agencies.
Market
Zingage competes in home-care agency management and workforce-automation software, with a particular focus on AI-powered back-office operations for Medicaid HCBS and broader home-care providers. Unlike established agency-management suites that primarily provide scheduling, EVV, billing, and caregiver management, Zingage positions its product as a unified operating system with specialized AI agents that handle calls, shift filling, compliance, recruiting, and caregiver engagement around the clock.
Zingage targets home-care agencies and Medicaid home- and community-based-services (HCBS) providers, including agencies operating at scale or facing staffing shortages and heavy scheduling, phone, recruiting, EVV, and compliance workloads. Its likely buyers are agency owners and operations, scheduling, workforce, and compliance leaders seeking to increase care capacity without adding administrative headcount.
At a Glance
Problem
Home-care agencies coordinate dispersed, time-sensitive care with phones, spreadsheets, and “late-night heroics.” When a caregiver calls out, staff must find a replacement; they also need to triage emergencies, manage patient intake, meet compliance deadlines, and protect billing and revenue. The result is operational chaos that can interrupt visits, leave care hours unfilled, increase caregiver turnover, and keep managers buried in administration instead of focused on patients and growth. The killer use case is filling caregiver call-outs and keeping care staffed around the clock.
The economics are meaningful: Zingage describes home care as a roughly $500 billion market and says providers currently turn away another $1 trillion in demand. Its website also reports a customer claim of reducing turnover by 20% for less than ten cents per employee per hour, suggesting that retaining caregivers can deliver a strong return on a relatively low-cost intervention, though this is a company-reported customer result rather than independently audited data.
Product / Service
Zingage is an AI care-delivery platform that operates alongside existing electronic medical records. Its flagship Operator product manages the end-to-end workflow from patient intake through scheduling, staffing, compliance, and billing. AI agents make staffing decisions using real labor data, while voice AI communicates with caregivers and patients in real time. The current product experience includes Riley, an AI secretary that answers calls, routes urgent issues, and retrieves patient information, and Casey, an AI scheduling coordinator that proactively matches caregivers to open shifts, confirms visits, and fills call-outs before they become missed-care problems.
Zingage also offers Perform, an AI-powered caregiver engagement and retention product. It automates recognition and rewards, gathers caregiver sentiment through surveys, identifies at-risk caregivers from engagement patterns, and supports compliance incentives. The delivery model is software and AI agents working continuously rather than a conventional outsourced staffing operation; the intended benefit is more reliable care, more staffed hours, lower administrative headcount pressure, and better caregiver retention.
Market
Zingage competes in the home-care agency software and emerging AI care-coordination market, combining scheduling, staffing, intake, compliance, billing, and caregiver engagement. Its competitive set includes established home-care platforms such as CareSmartz360, AxisCare, ShiftCare, Alora, Carecenta, WellSky, MatrixCare, and AlayaCare; HHAeXchange is another adjacent platform with strong Medicaid, electronic visit verification, and compliance capabilities. These incumbents are not all direct one-for-one substitutes, but they represent the operational software category into which Zingage is introducing a more autonomous, AI-led model.
The company has substantial commercial traction rather than appearing pre-revenue. Its website says it serves more than 500 agencies across scheduling, billing, and compliance, while its 2025 funding announcement reported 400-plus agencies and more than 10 million patient visits coordinated annually. Zingage announced $12.5 million in seed funding in October 2025, led by Bessemer Venture Partners with TQ Ventures, South Park Commons, and WndrCo among the other backers. The available evidence indicates rapid customer and revenue growth, but does not disclose audited revenue, pricing, or unit economics.
Founders & Leadership
Funding History
Bessemer Venture Partners, TQ Ventures, South Park Commons, WndrCo, Executives from Ramp
Recent News
Zingage announced an integration through HHAeXchange’s Partner Connect program, making its AI agents available to more than 32,000 home-care providers. The agents automate scheduling, phone operations, and compliance workflows.
Healthcare IT Today reported the launch of Zingage Operator, an AI-powered platform managing home-care logistics from patient intake and scheduling through billing. The article said the platform was already being used by dozens of agencies during its beta launch.
Active Roles
6Business Model
Zingage sells its AI operations platform to home-care agencies using value-aligned, usage- and outcome-based pricing. Agencies pay based on AI-handled call volume, successful staffing outcomes such as filled call-outs, and the amount of operational support they require.
Products
Customers
Tech Stack
Competitors
Key Investors
Bessemer Venture Partners, South Park Commons, TQ Ventures, WndrCo