A caregiver arrives at a client’s home, does the work, leaves, and then discovers that the record does not convince the system that pays the bill. That dull administrative contradiction is the useful key to Movo. The company’s current pitch begins where electronic visit verification, or EVV, gets awkward: GPS can say a phone was somewhere nearby, but location accuracy degrades indoors, coordinates can be spoofed, and two timestamps say little about what happened in between. Movo wants to turn physical presence into something closer to a receipt.
Its method is intentionally plain at the human level. A worker taps a phone against a passive NFC tag when arriving and leaving. In the background, the system combines that close-range event with Bluetooth, device and timing signals. It correlates exceptions and produces what Movo calls a Visit Evidence Record - an independent, tamper-evident package for a payer, auditor or regulator. The tag, according to the company, costs less than a dollar, needs no battery and does not require Wi-Fi. The expensive product is built around a very cheap object.
The proof chain
Before evidence, there was employment
Movo did not begin as a healthcare-compliance company. Jason Radisson started the business in 2019 as Shift One, a marketplace intended to connect frontline workers with employers in logistics, fulfillment and events. Radisson had operated Uber in the western United States and later served as chief operating officer of 99, the Brazilian ride-hailing company acquired by DiDi. His thesis was that marketplace software could be made less punishing for workers who wanted dependable schedules, benefits and a route upward.
By February 2021, Shift One said it had 25,000 workers and about 50 clients, including Amazon, NASCAR, CES, Weee! and Mensajeros Urbanos. It had bootstrapped to slight profitability and grown revenue tenfold in 2020 from a small base. A $5.2 million seed round, led by City Light Capital and JAM Fund, followed. Including subsequent capital, public interviews put Movo’s total raised at just under $10 million; the supplied company record lists $8.36 million. The safe conclusion is a range, not a heroic decimal.
Then COVID arrived. Demand for warehouse and last-mile labor exploded, and Shift One helped companies hire, train and deploy essential workers. In one interview, Radisson recalled sitting on roughly $200 million of labor orders and filling only about 10 percent. This was growth with a siren attached. It exposed the first failure: a staffing operation could not scale fast enough to meet emergency demand, and when the emergency eased, the demand profile changed again.
“We wanted it to be more balanced for workers.”Jason Radisson, describing the original Shift One ideaAct II
The marketplace receded. The machinery remained.
The company’s answer was to become more software and less staffing. Renamed Movo, it built a mobile system for onboarding, labor forecasting, dynamic scheduling, shift swaps, task dispatch and exception handling. The core idea borrowed from ride-hailing: match units of labor to units of work continuously, rather than publish a roster and spend the week repairing it by hand. Movo says its reinforcement-learning engine can rebalance every 30 to 60 seconds and resolve most routine exceptions without a manager.
That product is now called Movo Frontline. Its audience is large, distributed employers in logistics, healthcare, manufacturing and hospitality. The company says more than 700,000 people use it daily. Netlog, a logistics group with 15,000 employees and more than 40 distribution centers, is Movo’s most visible case study. Netlog’s HR chief credits the software with lower overtime and productivity gains. Those are vendor-published results, useful for forming questions rather than skipping diligence.
The model is enterprise SaaS: modular subscriptions, pilots and larger contracts scoped through sales. Movo publicly places Core at $3 to $5 per employee per month. Earlier interviews quoted somewhat higher ranges for broader workforce packages, so a buyer should distinguish the module from the deployment. The company also advertises short pilots. Its economic promise is familiar - fewer wasted hours, less overtime, higher retention - but its operational claim is more specific: the software changes the roster while the day is still happening.
Act IIIThe change of mind was an expensive exception
Movo’s newest public face is narrower and more severe. Home-health providers can lose revenue when a delivered visit fails to match the state’s EVV record. Fraud creates the political pressure, but honest operators also pay through denials, appeals and audit preparation. Movo’s homepage now leads with proof of presence, not employee engagement. Its near-term buyers are home-health agencies, state programs, managed-care organizations and other operators that must show a service occurred.
What changed the company’s mind? Public material does not offer one cinematic revelation. The evidence points to a sequence. Pandemic staffing proved that Movo could collect real-time operational signals. Enterprise workforce deployments taught it how to handle presence, schedules and exceptions at scale. Healthcare exposed a buyer for whom a bad record is not merely inefficient but financially dangerous. The product moved from improving work to defending it.
From probability to evidence
Conceptual comparison only. Widths illustrate layers of evidence, not independently measured accuracy.
This is also Movo’s claimed difference from Sandata, HHAeXchange and other EVV systems. It does not present Presence as an electronic medical record or billing replacement. It is an overlay that generates evidence without needing write access to those systems. Against UKG, Workday, Legion, Quinyx and Deputy, Movo Frontline competes on continuous optimization and task routing. The two products have different buyers, but share one primitive: who was where, when, doing what?
The product moved from improving work to defending it.The steal
Build the artifact the skeptic needs
There are five copyable moves here. First, chase an expensive exception, not a generic desire. “Better workforce management” is broad; “this paid claim failed because the visit cannot be defended” has an owner and a cost. Second, keep a useful technical primitive through a pivot. Movo’s matching, event and exception machinery did not become irrelevant when the staffing model changed.
Third, make the physical action boring. A close-range tap is teachable in one sentence. Fourth, avoid turning adoption into a systems-integration referendum. Movo’s zero-integration claim is strategically important because small providers do not want another year-long IT project. Fifth, sell an artifact that can travel. A dashboard is trapped in the product; an evidence record can move to billing, audit or court. In compliance markets, portability is part of the feature.
When this does not work
- The organization has too few workers, sites or exceptions to justify another operational layer.
- Care settings cannot reliably place or maintain a tag, or workers cannot use compatible phones.
- The buyer needs clinical documentation, claims submission or a complete HR system rather than independent verification.
- Local rules reject the evidence format or require a state-selected EVV workflow with no room for an overlay.
- Employee consent, labor agreements or privacy expectations make continuous presence signals unacceptable.
- The customer expects vendor case-study percentages to transfer without a controlled pilot and baseline.
A sharper wedge, with a messaging tax
Movo fits between workforce management, health-tech compliance and program-integrity software. That intersection is valuable because the underlying data crosses operational and regulatory boundaries. It is also confusing. A home-health administrator looking for EVV evidence should not have to decode a pitch about warehouse productivity, while an operations chief should not wonder whether the scheduling roadmap has become a side project.
The company’s own site now explicitly separates Presence from Frontline. That is sensible. Its next proof is not another claimed percentage but repeatable deployment: independent validation of match rates, denied-claim reduction and audit outcomes across states, agencies and care models. Healthcare buyers will also care about security attestations, data governance, accessibility and how exceptions are reviewed. Evidence software eventually gets judged as evidence.
The expertise underneath the pitch is less clinical than operational. Movo knows marketplaces, mobile onboarding, schedule optimization and the messy stream of call-outs, late arrivals and credential flags that make a frontline day wobble. Its healthcare move applies that operating knowledge to a regulated payment problem. The likely customer journey is correspondingly practical: choose a site or patient cohort with poor match rates, establish the denial and exception baseline, distribute tags, train caregivers on the two taps, and compare the next 60 days. If the claims improve without creating a new support burden, expand. If not, stop. That controlled rollout is more credible than buying a transformation program on faith, and it protects both sides from confusing a polished demonstration with a durable workflow.
Still, the arc is instructive. Movo spent years learning how work moves, first by supplying people and then by moving schedules and tasks. It landed on a market where the more urgent question is whether anyone can prove the work moved at all. The answer it sells is small enough to stick on a wall and consequential enough to accompany a claim.