Why We Invested in Vali Health: Rebuilding the Operating System for Home Care

Vali Health Is Building AI Workforce Software for Home Care

Home care is one of the most important and operationally complex sectors in healthcare, and one of the most underserved by modern software.

Behind every home care agency is a business trying to solve a hard human puzzle every day: how to recruit caregivers, keep them engaged, match them with the right patients, manage constant scheduling changes, and still run a healthy business. It is deeply personal work, but the systems behind it are often manual, fragmented, and stretched to the limit.

That is what drew us to Vali Health.

Vali is building an AI-native workforce operating system for home care agencies, starting with one of the hardest and most urgent problems in the category: staffing and scheduling.

We believe Serena Dang, CEO, and Jason Wu, co-founder and CTO, are building the kind of company that can modernize how these agencies operate, support caregivers more effectively, and ultimately improve care for the people who depend on it.

Today, we’re excited to share that Bonfire led Vali Health’s $6M seed round, alongside Supernode, Comma Capital, and Jacquelyn Kung. Axios covered the announcement here.

A Massive Market Hiding in Plain Sight

Home care is a large and growing market driven by one unavoidable reality: America is aging.

There are roughly 34,000 home care firms in the United States today, many of them small businesses operating with thin margins, high turnover, and a heavy dependence on manual coordination. On the surface, that may not sound like a blockbuster market. But if Vali becomes the operational backbone of these agencies — handling scheduling, recruiting, payroll, billing, and eventually marketing and lead capture — the revenue potential per customer starts to look a lot like what you would otherwise pay for a small team of people. At even modest market penetration, that becomes a multi-hundred million dollar business.

And the tailwind is real. An estimated 5.5 million people will be involved in home care by 2030. This is not a trend that is slowing down.

Why Scheduling Is the Perfect Wedge

Vali's first product focuses on scheduling, and we think that is exactly the right place to start.

Scheduling in home care is not just calendar management. It is a dynamic, high-stakes coordination problem involving caregiver preferences, qualifications, availability, patient needs, relationship continuity, and constant last-minute change. It is exactly the kind of workflow where AI can create immediate value.

Vali's scheduling agent helps agencies automatically match caregivers to shifts, manage SMS communication, and write updates back into the agency's system of record. The early results speak for themselves: Vali is already coordinating 40,000 shifts per month, saving mid-sized agencies more than 20 hours per week, and reducing open shifts by 80%. When we spoke with customers, the reaction was clear: if you solve scheduling well, you solve one of the biggest pain points in the business.

And this is not just about reducing admin work. It helps address the core anxiety on every side of the equation: caregivers want enough shifts to make a living, patients and families want confidence that someone reliable will show up, and agency owners need operations to run efficiently enough to protect margins and grow.

Responsibility as a Moat

In a category where the stakes are the quality of one's life and care, AI cannot be a black box.

Several companies have built AI tools for home care, but few have the proper guardrails and safety required for such a mission-critical industry. What sets Vali apart is not just the automation, but the discipline behind it. The platform runs at 98% automation accuracy with deliberate human-in-the-loop oversight for the critical 2% — the nuanced calls where getting it wrong is not an option. In an industry where families are trusting strangers to care for their loved ones, that combination of scale and safety is the real moat.

This is what we mean by responsible AI. Agencies and families do not just need AI that works. They need AI they can trust.

The early signal here is striking. Caregivers — the people closest to the work — are not just tolerating Vali, they love it. As one Client Care Coordinator at Home Instead put it, caregivers regularly call the office asking to speak to Vali directly: "In their mind, Vali is like a best friend." For workforce software in any category, that kind of frontline affinity is rare. In home care, where 80% of the workforce is female and where the tools have historically lacked the responsibility and frontline insight these professionals deserve, it is a leading indicator of the kind of trust that drives long-term retention and expansion.

From One Pain Point to the Core Platform

What excites us is not just the first product, but the broader vision behind it.

Vali is starting with scheduling, but the goal is much bigger: to become the operational backbone for home care agencies. That means helping across recruiting, training, engagement, scheduling, payroll, billing, and eventually marketing and lead capture.

Each new surface area carries the same responsible-AI guardrails that anchor the scheduling product today — high automation paired with human oversight where the stakes demand it. That is not a feature. It is a fundamental upgrade to how these businesses operate.

The Founder We Believe Can Win This Market

At Bonfire, we talk a lot about two things: the right to play and the right to win.

Any founder can make a case for why a market is interesting. Far fewer can articulate with genuine clarity why they are the one to win it.

Serena earned that clarity the hard way. She has spent the last four years embedded in home healthcare. Before Vali, she built a consumer app aimed at addressing social isolation among elderly patients before recognizing that the harder, more urgent infrastructure problem was in the agencies themselves. Alongside Jason, she is building the kind of company that pairs deep market understanding with the technical ambition required to rethink how these agencies operate.

What stood out in diligence was not just Serena's market insight. It was her learning velocity — the speed at which she processed new information, synthesized it, and communicated direction to her team. In the AI era, seed investing is often a bet on exactly that. Serena is sharp, grounded, and not precious about being wrong.

We are also proud to be investing alongside Jacquelyn Kung, who built one of the largest software platforms in home care and joins as both investor and advisor. Having a category veteran of her caliber at the table is a meaningful signal — and a meaningful resource for Serena and the team as they scale.

That matters a lot at this stage.

Why This Is Exactly the Kind of Company We Back

We invested in Vali because we believe home care is a large, underserved market with urgent operational pain, and because Vali is attacking that pain with the kind of AI-native product that can create immediate and measurable value — without ever compromising on safety.

We also invested because the early customer pull was strong — 400% growth over the last 12 months to nearly 100 agencies across 30 states — the initial wedge was exactly right, and Serena struck us as the kind of founder you want building in an important, messy category.

This is the kind of company we love to back: vertical software for a critical industry, clear ROI from day one, and a path to becoming core infrastructure over time.

We are thrilled to back Serena Dang, Jason Wu, and the full Vali team as they go after one of the most important and overlooked labor challenges in American healthcare. The goal is a true "business in a box" for home care agency owners — something that lets them spend less time on administrative fire drills and more time on the thing they actually care about: delivering great care.