Phoebe's AI agents fill home care scheduling gaps in minutes – coordinators normally spend two to five hours scrambling to patch the same crisis manually.
ENTRY ANGLES
Infrastructure platforms for home care coordination serving elderly care market · Uber-style marketplace for caregiver matching and dispatch · Autonomous company platforms for shift-based work coordination in other industries
VERTICALS
CAPABILITIES
AI-powered scheduling and matching algorithms, Real-time logistics coordination platform, Institutional care infrastructure knowledge
PHOEBE FOUNDER
“find caregivers for open shifts next week”
When a caregiver calls in sick at 6 a.m., someone at a home care agency has to scramble for two to five hours to fill the gap. Phoebe has built AI agents to handle exactly that.
The operational problem is fundamentally a logistics problem. Care agencies must ensure that caregivers show up to the right patient at the right time. But schedules break down constantly, and when they do, the coordinators responsible for logistics spend two to five hours per day manually patching gaps.
Phoebe's AI agent handles this autonomously. You configure it with a set of rules – the order in which to contact caregivers, and which factors to weigh when selecting substitutes (ratings, qualifications, proximity). The agent then works through the problem on its own.
It also maintains a communication history with every caregiver in the network, building an understanding of their habits, preferences, and reliability – all of which it factors into its decisions.
One client – an operator running four senior care franchises – reports a 75% reduction in unfilled shifts after switching to Phoebe.
Phoebe doesn't ask agencies to replace the platforms they already use. Its AI agents layer on top of existing systems through purpose-built integrations. Coordinators can simply ask Phoebe to "find caregivers for open shifts next week" or check whether a specific caregiver confirmed their availability for an emergency shift. The AI finds the information and takes the necessary action.
The full Phoebe package covers shift confirmations, substitute outreach, visit tracking, time logging, and preference collection for future scheduling.
Caregivers get their own AI agent too – one that helps them manage their schedule, prepare visit routes, confirm appointments, record visit notes by voice, prepare license renewal paperwork, or quickly find available shifts when their assigned shift is canceled or they have unexpected free time.
Last week, Phoebe closed its first investment round at $9.5 million.
Phoebe is targeting a market that is large today and is about to get dramatically larger.
In the US, by 2034, people over 65 will outnumber those under 18 for the first time in history. That demographic shift means that by the 2030s, caregivers and home health aides will likely be the single largest occupational category in the US workforce – primarily serving an aging population.
And most people – and their families – will prefer home-based care over institutional settings like nursing homes. That preference intensifies the logistics challenge: instead of concentrating care in facilities, agencies must coordinate distributed care across many locations.
The current market is already substantial: 48,000 care companies in the US alone, coordinating 5 million caregivers, on a market valued at $160 billion growing at 9% annually. Ten thousand Americans turn 65 every day. That growth rate shows no signs of slowing.
The economics of care agencies, however, are tight. A major reason: logistics overhead consumes roughly 15% of revenue – the money paid by insurance, patients, and families for care. That margin compression limits agencies' ability to scale or even sustain current operations efficiently.
Reduce the logistics cost – through AI agents like Phoebe's – and the economics of the entire sector improve. Savings come from within that 15% overhead, which in a capital-light business is meaningful.
Phoebe's full vision covers three categories of AI agents:
- Logistics and operations agents for care agencies. - Scheduling and administrative agents for caregivers – not just matching them to shifts, but helping them find the most economically favorable deployment of their time. - Care coordination agents for patients and families – finding the right care options and managing continuity of service.
Phoebe's thesis is that they can occupy a new niche: the "autonomous agency" – distinct from traditional human-run agencies, agencies using standard automation tools, and the platforms that provide those tools.
Phoebe claims caregivers and home health aides will be the largest occupational category in the US in the 2030s. According to Bureau of Labor Statistics data, that's already true as of 2024 – when the category surpassed retail sales workers, the long-standing leader. Fast food workers rank third. Registered nurses rank fifth. Software developers, for reference, sit at 24th.
The home-versus-institutional care trend is equally real. Institutional care – nursing homes, assisted living facilities – is the "old" model, projected to grow at just 0.9% annually over the next decade. Home-based care, the "new" model, is growing at 7.1–10.2% annually. Institutional infrastructure simply cannot absorb the coming surge in elderly patients – and even where it could, institutional care is materially more expensive, out of reach for most American families.
The most obvious entry point: infrastructure platforms for home care coordination, primarily serving the elderly care market. Building a Phoebe equivalent is one version. A more ambitious version – something like Uber for caregivers – could turn out to be an even bigger opportunity than ride-sharing itself.
A broader play: building Phoebe-style "autonomous company" platforms for other industries where shift-based work or three-sided logistics (platform + workers + customers) is already common – or is poised to become so. Which industries fit that pattern well enough to warrant a similar approach?