Access to actionable data
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Driven by CloudCare OS and CareSignals.ai. See the systems
Skip the waiting room.
Built once. Connected to every home.
CloudCare is the AI-driven platform, Beyond RPM, that sits above the EHRs and connects any AI platform to the enterprise you already run, with minimal disruption.
Prix Galien nominee · Best Digital Health SolutionLife365 and CloudCare were recognized and nominated by the Prix Galien (Galien Forum CEE) in the Best Digital Health Solution category.
Our mission
Put working health programs in front of the people who need them in weeks, not years, on the systems they already run, with AI they can govern.
Sovereign means you own all of it: your data, your AI, your environment and the pace of change.
Convergence
AI is collapsing the delivery of care. CloudCare is the bridge to the other side.
CloudCare is the AI orchestration platform that connects the home to the care team. Built for solution integrators and the government agencies they serve: one elastic platform that compresses the middle, from the enterprise to the home.
Beyond RPM · Unstick the enterprise
Sitting above the EHRs, CloudCare is the connective tissue between your enterprise and any AI platform.
It energizes existing healthcare enterprises with the power of AI, with minimal disruption to the code stack they already run.
- Scale patient connectivityReach patients at home, on any device or channel, from one platform.
- Orchestrate data at lightning speedSignals from every system, reached in place and turned into action.
- Compress the middleLess distance from an idea to working software, with no rebuild.
- Solve interoperabilityConnects across EHRs and AI platforms, so systems work together instead of in silos.
- HIPAACompliant
- FedRAMPReady
- HITRUSTReady
- ATOReady
- SOC 2Ready
- 1,000+Integrated solutions
- 62+Platform modules
- FHIR R4Native interoperability
- PatentedIssued U.S. patents
CloudCare · 01
Every health program needs the same five things
A way to ask, a way to reach, a way to act, a way to understand, and a way to prove. Nobody sells that as one thing, so everybody assembles it.
AskAssessments and forms, on any channel
ReachOutreach by text, email, voice and phone
ActWorkflow and automation across systems and people
UnderstandIntelligence and reporting people can act on
ProveGovernance, audit and evidence
CloudCare is that list as one platform: the platform a health program runs on, with or without an EHR beneath it. Where there is an EHR, it stays the system of record, and CloudCare is the system of execution for everything that happens between visits.
CloudCare · 02
The most expensive moment is the one everyone sees coming
The ER visit, the admission, the readmission rarely arrive without warning. CloudCare watches at scale, reaches people at home and catches the drift before it becomes a hospital bill. Three forces make it urgent now.
1
Demographics
An aging population, fewer providersChronic disease is rising as clinicians leave. Care has to go virtual-first.
2
Policy and reimbursement
Government rebuilt, reimbursement realignedMore than $1.5 trillion in initiatives is moving payment from volume to outcomes.
3
AI and data
AI that is thirsty for dataNo data, no AI. And AI strips out the middle processes that add cost and delay.
Shift left: from reactive to proactive
Lower-cost, scalable technology shifts care left, from reactive, high-cost complex care toward proactive health and wellness, and to a far larger virtual-first population than traditional remote monitoring can reach.
CloudCare · 03
Agencies are being rebuilt. Every program is a green field.
Healthcare has no shortage of data. It has a shortage of insight. A patient’s record is spread across many systems, consolidation takes years and ends in a new silo, and care arrives late: VA remote monitoring reaches about 70,000 veterans, while the VA estimates 700,000 to 2 million could benefit.
It happened at NASAFrom building to buying
NASA stopped building its own spacecraft and started buying crew and cargo flights from companies such as SpaceX.
It is happening at DHAReorganized
Twenty medical markets consolidated into nine Defense Health Networks.
It is happening at VARestructuring
The Veterans Health Administration is being reorganized, with a new AI strategy.
Every program rebuilt for AI needsA foundational platform to rebuild modules onAn elastic, liquid framework that absorbs changeData reachable at low cost, addressable from the platform
CloudCare · 04
People don’t resist change. They resist repeating what failed.
Years of promises
New systems added clicks and alerts while the old work stayed. Skepticism is earned.
Start with a real win
Remove work people can feel, quickly. That trust funds the next, larger change.
Outcomes, not tools
Success is measured in results people feel, not in tools installed.
We didn’t build a house. We built a subdivision.
The second house goes up faster than the first.
The streets, water, power and cable are laid once, underground. Every program built on CloudCare makes the next one cheaper, and the lots are surveyed and ready. The only question left is which house is yours.
- StreetsIdentity and access
- WaterData
- SewerSecurity
- ElectricAI
- CableIntegration
CloudCare · 05
The story in four parts
Each part answers one question. Follow them in order, or jump in anywhere.
CloudCare · 06
Built for solution integrators and government agencies
Integrators are our customer. Agencies are the mission they serve.
Solution integrators
Win faster, deliver more, stay prime
Answer a CSO or AOI with a working prototype, then field it under your own brand.
- Working software at kickoff, not slides
- Integration, identity and compliance inherited, not rebuilt per program
- White-label delivery across your whole book
Government agencies
See it working first, own all of it
VA, DHA and state agencies get capability in weeks, on the systems they already run, and own the data, models and deployment.
- Commercial cloud, AWS GovCloud or air-gapped
- No rip-and-replace: connects to existing EHR and agency systems
- Bars set up front, measured from day one
The programs they deliver reach every side of care
Providers
One panel for monitoring, alerts and billing-qualifying events.
Payers
Close care gaps and lift Stars, with the reporting to prove it.
Device and OEM
Integrate a device once and reach every program on the platform.
Patients and members
Tech-enabled touchpoints and conversational AI keep people connected to their care team.
How integrators and agencies use it
Integrators are our customer in federal work. Agencies and care organizations are who they serve.
CloudCare · 07
Proven in the field
Real patients, peer-reviewed results.
PlatformProven over five years with the VA
Forged in VA connected care, then hardened for enterprise and home.
PatentsA foundational U.S. portfolio
Issued U.S. patents on core connected-care methods, independently valued.
PartnersIn development and distribution
Shaped by federal programs and health systems, carried to market by technology and channel partners.
Partners
- AcceleratorMayo Clinic / ASU MedTech
- Health systemWhite Plains Hospital
- Emergency medicalGMR / AMR Ambulance
- Technology partnerMicrosoft
- Federal, via primeVeterans Affairs (VA)
2.6%30-day heart failure readmission rate, against a national average of about 23%White Plains Hospital · peer reviewed
60%Reduction in ER utilization across the monitored populationCatalytic Health Partners
70K → millionsBuilt to scale VA remote monitoring from 70,000 veterans to millionsValor Healthcare · VA
“This is what we have been waiting for.”
Combining proactive monitoring with community-based intervention did not just reduce readmissions. It improved equity in how care is delivered, with support tailored to each patient’s needs.
2.6% figure: Jafri et al., The Joint Commission Journal on Quality and Patient Safety, 2024. White Plains Hospital (WPH Cares) on the Life365 virtual care platform.
CloudCare · 08
CB Insights named five shifts for 2026. CloudCare is built for all five.
Most platforms address one or two. CloudCare sits at the intersection of all five, by design.
The five predictions are from CB Insights’ 2026 digital-health outlook. CB Insights does not endorse or name Life365. The alignment shown is Life365’s own analysis of CloudCare’s capabilities against those predictions.
Beyond RPM · The Convergence Trilogy
Twenty years, converging on this moment
Two decades building toward one conviction: that healthcare would converge, at a single point in time, into one collapsed offering. The Convergence Trilogy is that vision written down. CloudCare is its execution.
Compress the middle.
V2R is Vision to Results. Clinicians set the goal, AI assembles the program, people check the result.
V2R · 01
Why we compress the middle
Between a vision and working software sits a long middle of requirements, designs, tickets and code. Each handoff loses something and takes weeks. V2R removes it.
Traditional delivery
With V2R
6stages in the middle
Longpath to production
The bars are illustrative.
What it looks like in practice
| Step | Integrator alone | On CloudCare |
|---|---|---|
| Working prototype | Months of specifications first | Fast, from what you already have |
| Live demo | After a long build | Early, on working software |
| Production | Slow, and rebuilt from scratch | Faster, with no rebuild |
| Security | Added at the end | Built in from day one |
| Who steers | Consultants | Clinicians |
A demo is not production, so both are shown.
V2R · 02
How V2R works
Four steps. Press play, or tap through.
1Your artifacts
2AI platform
Building a first version…
Troop Readiness prototype
Built with Claude. Synthetic data.
Unit A62%
Unit B48%
Unit C71%
Unit D85%
3Protected prototype environment
Built in Claude, sealed here4CloudCare OS
You do
CloudCare does
The code is an illustration of what Claude builds and the prototype environment seals, not a real listing.
V2R · 03
Three stages, one discipline
Set the bar, run the loop, harden on CloudCare. No one grades their own work.
- Stage ISet the bar
Clinical and quality owners pour their domain knowledge through the AI tools they already prefer. The vision becomes concrete bars and kill criteria.
Output: the Charter and locked requirements - Stage IIRun the loop
A three-to-five person pod runs builder and critic loops against the bars. AI critics score continuously; clinicians judge. Every capability ships as the three-mode ladder.
Output: client-validated working software - Stage IIIHarden on CloudCare
The winning artifact is ingested by CloudCare OS, not thrown away. Security, conformance and accreditation evidence are worked through mechanically.
Output: fielded capability and a stronger platform
Bring your own AI
Claude, Copilot, OpenAI, Gemini or Cursor. AI runs free only in ideation, where end users verify what it makes.
Then it is assembled
From the second gate on, code is assembled from Knowledge Services through the MCP Connector, inside the GuardRails.
Hallucination contained
Creative AI stays in ideation. Only signed-off, ported, loop-tested work reaches production.
V2R · 04
The method behind the speed
Set the bar. Run the loop. Harden on CloudCare. Tap a tab to see how V2R works under the hood.
V2R · 05
Proven on a recent federal health program
A small joint team rebuilt a federal periodic health assessment with V2R: a working system, not a mockup, in an accreditable environment.
Fastfrom kickoff to the first working artifact
Earlylive demonstration to the agency
Smalljoint team from Life365 and its integrator partner
No rebuildthe prototype lands on CloudCare instead of being rebuilt
Five findings from the program
V2R asks every capability to carry a scored record. The same instrument is turned on the method itself, and the failures are written down beside the findings.
- The builder’s context is a control surfaceFeed the builder a defined input set, and freeze what is approved, so it cannot reason its way into undoing locked work.
- Data was the hardest thing to controlSwitching between data regimes cost more than either regime did. Data gets its own gates.
- Stages run in parallel; sections graduateThe unit that passes through the gates is the section, not the project.
- The platform constrains the builderThe MCP Connector binds the build to the platform, moving incompatibility from integration to the first minute.
- The prototype’s value is its destinationRebuilt conventionally, it starts over. Landed on CloudCare, it carries forward. The platform deletes the step rather than speeding it up.
V2R · 06
From a call to production, and to a Phase III
Two lanes run side by side. The fast lane wins work through CSOs and AOIs. The long game builds SBIR-backed rights for follow-on work. In both, the integrator is prime.
Illustrative path. Phase III eligibility depends on prior SBIR Phase I or II work by the awardee, and terms vary by agency. Confirm details with counsel and the agency’s SBIR office.
V2R · 07
Clinicians steer. Business Engineers build.
Construction is not coming back. Clinical and quality owners hold the rudder at every stage, and the builder never grades its own work.
The rudderClinical and quality owners
Determine the clinical workflow, the bars and the guardrails, under governance. They steer every stage and check every AI output.
Process engineersBusiness Engineers
Put the technical pieces and modular components in place on low-code, inside Knowledge Services guardrails, exactly as the clinical workflow defines.
ExecutionClinical staff
Run the workflow day to day. Bots act only where clinical owners grant permission.
Four places the value moved
Bar authoring
Clinical and quality owners turn the mission, instruments and constraints into measurable bars and kill criteria.
The input AI optimizes toward, not a task AI replaces.Critic operations
Designing and tuning AI critic benches, curating reference standards, and escalating to clinical judges.
The governance that makes AI speed trustworthy.Evidence engineering
Turning V2R records into accreditation packages, governance submissions and audit responses.
Regulated markets pay for provable trust.Knowledge curation
Growing Knowledge Services, mapping each capability into the shared model so reuse stays high.
The compounding asset itself.V2R · 08
The V2R Line: many pods, one platform
The enterprise does not need to become small. It needs to become many small teams on one platform, governed by portfolio instruments rather than program ceremony.
Line metrics
Time to first artifact, bar-pass rate and iteration velocity on one dashboard. The factory’s gauges replace status reporting.
Fast kills
Kill criteria fire automatically and without stigma. A pursuit stopped in week one is a success of the method.
Reuse coefficient
The share of each capability inherited from CloudCare rather than newly built: the best measure that platform economics are compounding.
Standard records
Charters, bars and V2R records standardized across pods, so any pursuit is legible to leadership in minutes.
Adopting V2R
- Name the problemOne mission problem with a real client clock, and one clinical owner with genuine depth. A Charter exists within days.
- Run the podA one-day joint working session and a two-week validation cadence produce a client-validated prototype on CloudCare.
- Carry it forwardHardening cycles take it to fielded, and the platform the next pursuit reuses is now stronger.
- Stand up the lineStandard charters, a critic bench, line metrics and Business Engineers: many pods, one platform.
A foundation that absorbs change.
CloudCare OS connects into the systems healthcare already runs, so teams build modules instead of plumbing.
CloudCare OS · 01
Inside CloudCare OS
Five engines that reach the systems you already run. Tap one.
Modules, built by business engineers
Troop ReadinessRemote monitoring programReadiness dashboardQuality gap closurePrior authorization
Inside CloudCare OS: five engines
Sovereign access: existing systems queried in place, never copied
CloudCare OS · 02
Seventy-six years of enterprise software follow one pattern
Every era removed a scarce resource. Enterprise software moved from static code bases, to modular platforms, to CloudCare: elastic enough to absorb AI and every integrated system, and liquid enough that functionality and scale flow without a rebuild.
1950sBasic computingBuilt by mathematicians and engineersScarce: machine time
1960s–80sCOBOL / DB2Mainframes and COBOL programmersScarce: COBOL programmers
1980s–90sSQLRelational databases, developers and DBAsScarce: database specialists
1990s–2000sSAP / OracleIntegrated ERP and functional consultantsScarce: ERP consultants
2000s–2025Salesforce / PalantirOne cloud data model, platform developersScarce: platform developers
2025 →CloudCare + V2RClinicians steer; Business Engineers buildScarce: time and tokens
Static · change takes yearsModular · change takes monthsElastic and liquid · change is continuous
History rhymes: the 1990s ERP shift is playing out again in healthcare
| 1990s · mainframe to ERP | 2020s · point solutions to CloudCare | |
|---|---|---|
| Scarce resource | COBOL programmers | Time and tokens, with precise talent |
| Fragmented stack | Database, transaction monitor and tools sold separately | RPM, EHR, devices, billing and analytics point solutions |
| Unifying platform | SAP / Oracle: one program, one data model | CloudCare OS: the care delivery operating system |
| Method | Configure modules instead of coding | V2R: set the bar, assemble and check, harden on CloudCare |
| Knowledge | Best practices built into the ERP package | Knowledge Services: prompts, rules, templates, APIs and baselines |
| Who builds | Functional consultants | Clinicians steer; Business Engineers build on low-code |
| Intelligence | Reports after the fact | Care Intelligence: continuous insight |
CloudCare OS · 03
CloudCare is not just AI. It makes AI work.
Left alone, AI generates pieces that do not fit. CloudCare assembles from proven parts, guardrails included.
AI+Knowledge Services=AI that works
GuardRails. AI policy, rules and governance, direction toward the outcome, and human escalation by importance, with compliance built in. They are in the loop from the first prompt, so what comes out of ideation is already built to production rules.
The model is a commodity. The knowledge it assembles from is not, and every module adds to it.
Why we call it an operating system
CloudCare OS · 04
One system, five capabilities
At the center is CLOIE™, the CloudCare Learning Orchestration Interoperability Engine. It automates fulfillment, outreach, education and AI-driven conversations that personalize care in real time.
Elastic, self-healing platform
Absorbs change and self-heals. The platform adapts instead of breaking.
Data Refinery and workflow orchestration
CLOIE refines, tags and routes every signal into action.
Intelligent routing and insights
The right signal to the right clinician at the right moment. This is IRIS.
Single pane of glass
Every signal from every module on one screen, with one login.
Intelligent integrated marketplace
Order out, results back into the record: complete data rounding.
CloudCare OS · 05
Elastic and liquid: a platform that bends and repairs itself
AI providers change constantly. CloudCare detects the change, repairs itself and keeps serving. Break something and watch.
Illustrative simulation with synthetic data.
CloudCare OS · 06
CloudCare Data Refinery in action
Raw data stays where it lives. The Refinery makes it understood, connected and yours. Try one example three ways.
Illustrative example with synthetic data. It does not describe any service’s actual systems or any agreement.
CloudCare OS · 07
One signal in. A slate of refined care out.
Like a refinery turning one barrel of crude into many fuels, CloudCare turns patient-generated health data into a slate of refined insights. The underlying clinical data is never altered.
- Order placedA clinician orders a connected solution from inside the EHR.
- CloudCare processesThe order routes to CloudCare, which loads the right vendor solution onto the device.
- Vendor fulfillsThe manufacturer configures and ships the device to the patient’s home.
- Patient engagedAutomated messages: your device shipped, it arrived, take your first reading, or you have missed a reading.
- Readings and surveysThe patient takes vital-sign readings and answers survey questions, per the original order.
One reading128/82a single signal arrives
The Refinery
It reads more than the number. A reading taken means a patient engaged. A reading on time means a plan honored. A pattern means a risk worth watching.
- IRISIntelligent routing and clinician insight
- EHR write-backResult recorded against the original order
- CareSignals.aiThe patient on one pane of glass
- DopplerPatient triage
- PersonalizationLearns engagement and adjusts along the way
CloudCare OS · 08
Six layers beneath every signal
From the device in the home to the workflow in the enterprise, CloudCare is one stack. Each layer is independent and replaceable, and none is locked to one vendor.
- Device and connectivityCellular, BYOD, hub-based and deviceless inputs enter through one interface, so device vendors swap out without touching anything above.
- Engagement and personalizationVoice and IVR, SMS, app and email outreach as shared services any module can call.
- Processing and routingEvery signal is normalized, tagged and placed on a common pipeline, independent of its source.
- Data and secure storageFHIR R4-native, HIPAA-aligned, federal-grade storage that keeps the source clinical record immutable and portable.
- Cloud and platform independenceA cloud-abstraction layer lets the stack run on any major cloud or on-premises.
- Workflow and orchestrationCLOIE™ sequences work across every layer, a single orchestration engine the other tiers plug into.
CloudCare OS · 09
Deploy on any cloud. Connect to any EHR.
Run it where you already operate, and connect every major EHR over FHIR R4 and HL7.
Deploy on any cloud
- Microsoft AzureAzure-native, with deep Microsoft Fabric and Dragon Copilot integrations
- AWSCommercial and GovCloud regions, FedRAMP-ready
- Google CloudThe same orchestration layer, deployed on GCP
- Oracle Cloud (OCI)Commercial and GovCloud regions, FedRAMP-ready
Connect to any EHR, for example
- EpicBi-directional via FHIR R4 and SMART on FHIR
- Oracle Health (Cerner)FHIR R4 ingestion and result write-back
- athenahealthCloud EHR connectivity via FHIR and API
- MEDITECHHospital data ingestion via FHIR R4
- Allscripts / VeradigmAmbulatory and acute EHR connectivity
- PointClickCarePost-acute, SNF and long-term care data
Open standards throughout. HIPAA and HITECH compliant, FedRAMP-ready on any cloud.
Change the environment. Watch it absorb.
AI platforms and data structures change constantly. CloudCare OS is built to take the change and keep serving. Pick something to break.
0changes absorbed
0modules edited
0 mindowntime
- Nothing has changed yet. Choose an event on the left.
CloudCare OS · 10
From coders to business engineers
Before
Engineers hand-write pipelines and adapters. Every change in a source system or AI platform becomes a ticket, and the people who know the business wait in line behind it.
With CloudCare OS
Business engineers state the rule and the outcome. The platform generates the plumbing, maintains it as things change, and asks a person only when it is genuinely unsure.
CloudCare OS · 11
Characteristics at a glance
What the platform means for a program, in five groups.
Speed
- Working software at kickoffClients see running software early, not slides.
- Months, not yearsProven on a recent federal health program: a live demonstration in weeks.
- Prototype to production without a restartWhat wins the pilot is hardened and fielded, not re-specified.
Scale and data
- EHRs integrated onceEpic, Oracle Health (Cerner) and MHS Genesis over FHIR R4; new programs inherit EHR, identity and eligibility.
- Devices already integratedMedical devices, wearables and sensors ready for remote monitoring on day one.
- The year between visitsHundreds of readings per patient per year, not just a few appointments.
Security and trust
- Built in an accreditable environmentCommercial cloud, AWS GovCloud, or designed for air-gapped deployment, each with its own policy and keys.
- Compliance inherited, not re-earnedDeployment boundaries enforced in code with continuous self-tests. Every change signed and logged.
- Zero trust securityA zero trust overlay secures devices, platform and remote users from edge to core.
AI that works
- AI assembles from proven partsGuardRails and Knowledge Services keep output within security and engineering rules from the first prompt.
- Clinicians hold the rudderAgents act only under signed standing orders; unsupervised clinical action is disabled.
- Explainable riskEvery flag shows which rule fired on which reading.
Care Intelligence
- ForecastingCoordinators know who to call this morning, and why.
- One pane of glassEvery signal on one screen, with one login.
- Clinical capacity on demandElastic Clinic stands up licensed clinicians when backlogs spike, then releases them.
Performance statements are based on Life365 engineering data; validated measurements will be published as they become available.
CloudCare OS · 12
Partners build on one platform
Three layers. The base is owned by Life365 and backed by its patents; partner capabilities are wired in once so every program inherits them; specialist vendors are chosen per program.
3VendorsChosen per program by the customer
- Canary SpeechVoice analysis
- Device makersWearables and sensors
- Next vendorVia the marketplace
2Integrated partnersWired in once; every program inherits them
- Accenture AFSFielding at scale
- MicrosoftCloud, AI and clinician tools
- OnclaveZero trust security
- OpenTeamsSovereign open-source AI
- Front GateFederal delivery
- TeamSOSField support, deployment and rural health
1Base platformOwned by Life365, backed by its patents
- V2RBuild method
- CloudCare OSIncluding Compression, Data Refinery, Blaze and AI Reactor
- Care IntelligenceInsight to action
Partner names describe integrated capabilities, not endorsements.
CloudCare OS · 13
Simple architecture. Deep moats.
Six reasons it is hard to copy, even with the same AI models.
1Intelligently assembled
Assembled from proven parts in Knowledge Services, not generated by AI. Same AI model, still no quick copy.
2Patents
Issued U.S. patents across front-end data capture (wearables, LeanOS, mobile entry, location-based services), with CloudCare provisionals filed.
3Embedded in enterprise partners
Wired into partners’ identity, EHRs, cloud and infrastructure. Replacing it means re-plumbing.
4Federal-grade by design
AWS GovCloud, deployment boundaries enforced in code, continuous compliance self-tests. Slow and costly for new entrants to earn.
5Knowledge that compounds
Every program adds parts to Knowledge Services and signal to Care Intelligence. A late entrant starts from zero.
6Clinical trust and proof
Clinicians steer every step, proven on a recent federal health program. Federal references are earned, not bought.
What comes next · Gibber Code
AI systems will talk in their own language
Today software is code people read line by line. Next, AI systems exchange machine-native messages, system to system, assembling from Knowledge Services. AI agents act as Business Engineers, and as buyers that find CloudCare modules through the MCP Connector.
When no one reads the code, you govern the results.
- The barsWhat the software must achieve, set by subject matter experts
- Knowledge ServicesBusiness rules, guidelines and APIs the AI must follow
- The V2R recordCritic scores and Judge of Record rulings, as evidence
- The platform contractsFHIR R4, identity, eligibility and security, enforced by the platform
Care that starts before the crisis.
The right systems, aimed at the one mission you define.
Care Intelligence · 01
Choose a mission
Each mission lines up the systems that serve it, in order.
Each card opens that system’s live screen right here, shown with synthetic data. Digital Twin and Clairvoyant outputs are decision support, not actuarial or clinical determinations.
Care Intelligence · 02
Six answers, not six dashboards
Each surface answers one question and hands it to the next, so the chain ends with something done.
IRIS renders inside all of them. It says what moved, why, and what it did about it, and every line clicks through to the work, including what it declined to do.
What Care Intelligence will not do
The constraints are part of the product. These are design principles of Care Intelligence.
| The temptation | What CloudCare does instead |
|---|
Care Intelligence · 03
Inside the six surfaces
Healthcare has no shortage of data. It has a shortage of insight. CloudCare is the platform, V2R is the method, and Care Intelligence is the third leg: six surfaces that turn connected signal into a decision someone can act on, and then act on it.
1 · ForecastDoppler: forecast radar, not a leaderboard
- Patients ordered by days to a likely event over a 30-day horizon, not by score.
- Routed by program to the right team, with one line on why this patient and what to do today.
- Published rules instead of a black box, so every flag shows which rule fired, on which reading, and when.
A score tells you who is sick. A forecast tells you who to call this morning.
2 · Single paneCareSignals.ai: one screen, every signal, one login
- Replaces six systems and six logins: the EHR, device portal, care management, quality and billing.
- A presentation layer, deliberately not a decision layer, which keeps everything upstream auditable.
- Designed so clinically significant events appear within five minutes, and an emergent change within thirty seconds.
Every action here. Nothing in a second tab.
3 · Ambient captureDragon Copilot: we do not compete with the scribe, we feed it
The encounters alone4 visits
CloudCare, continuous~730 readings
Illustrative, for an enrolled remote monitoring patient: two device readings a day plus voice and labs. Dragon Copilot is Microsoft’s product; CloudCare renders inside it.
The scribe owns the room. CloudCare owns the year between rooms.
4 · ProofDigital Twin: proof, priced, and open to inspection
- Uses verified device, lab and voice signal, not self-report, with ninety sustained days before anything becomes creditable.
- Every mechanism and weight is printed on the screen.
- One twin, priced for the individual, the self-funded employer, the payer and the government buyer.
- A quarterly ROI Letter states what changed, what it is worth, and what was kept out of the arithmetic.
5 · ProjectionClairvoyant: the genome is fixed, the outcome is not
L1 · ObserveWatches the record and tells the member. No action.
L2 · DraftPrepares the authorization or appeal. A person releases it.
L3 · ActExecutes inside a signed standing order. Bounded and reversible.
L4 · UnsupervisedDisabled everywhere.
Nothing edits DNA. Authority is granted by the member and can be withdrawn in one click.
6 · ActionNext best action, by Virtual Clinic (Agents)
- A nudge for the patient, actionable intelligence for coordinators, decision support for providers.
- An autonomy ladder from L1 to L4, with a clinical director’s countersignature required above L2. L4 is disabled, not configurable.
- A mandatory set of hard stops no customer setting can switch off. At a hard stop it stops and names the person it handed the work to.
- Every action logged, attributed and reversible.
Alongside the six · Elastic ClinicClinics that form around demand
- SenseDoppler and next best action show a backlog, for example hundreds of overdue assessments at one site.
- StaffQualified, licensed clinicians are matched across the network, with only the roles the work needs.
- ReleaseWork is routed, and the clinic dissolves when the backlog clears.
Capacity follows demand, not a fixed roster. A mode of capacity, not a video visit.
Throughout · IRISNot a seventh screen
An assistant with its own tab is a place someone has to remember to visit. IRIS renders inside all six surfaces: it says what moved, why, and what it did about it, and every line clicks through to the work, including the work it declined and handed back.
One teammate, six contexts. What it will not do is the same in all six.
Care Intelligence · 04
Where the platform goes to work
Three journeys CloudCare carries start to finish.
Discharge to recovery
The 30 days after a hospital stay decide whether a patient comes back. CloudCare carries them from the discharge order into monitored recovery at home: early readings, check-ins, and escalation before a setback becomes a readmission.
Risk to intervention
The costliest events are the ones seen coming. CloudCare watches the whole panel between visits and surfaces the patient trending the wrong way, turning a rising pattern into an intervention instead of an ER visit.
Pilot to population
What proves out at one clinic has to hold at the scale of millions. CloudCare runs the same program from a single site to a health system or federal population, reaching even patients with no smartphone or broadband through VIDA, voice monitoring that needs no internet connection.
Earlier. More proactive. Measurable.
What a CloudCare program changes for the people it serves, and for the teams that deliver it.
Program size
Earlier interventions
0%
Driven by Doppler and IRIS. See the systems
Proactive care
0%
Driven by IRIS, Virtual Clinic agents and Dragon CoPilot. See the systems
Avoidable ED visits prevented per year
0
Annual run rate at this point in the program.
Estimated cost avoided per year
$0
Run rate, using the cost assumption below.
How the three outcomes build over the first year
Actionable data
Early intervention reach
Proactive contacts
See the assumptions behind every number
| Outcome | Start | After a year | Ramp |
|---|---|---|---|
| Patients with a current actionable signal | 35% | 90% | Fast, first four months |
| Avoidable events reached early | 22% | 78% | Begins in month 1 |
| Median lead time before an event | 1 day | 9 days | Same as above |
| Contacts that are proactive | 18% | 65% | Begins in month 2 |
| Result input | Value |
|---|---|
| ED visits per enrolled patient per year | 0.24 |
| Share of those visits that are avoidable | 30% |
| Share of reached avoidable visits actually prevented | 50% |
| Cost of one avoidable ED visit | $3,500 |
Replace each value with your own program’s baseline before using any figure outside a demonstration.
Operational efficiencies
What the platform saves a delivery team and its clients: hours, cost, business won or kept, and time to market. Everything moves with the months slider above. Totals are cumulative since go-live.
$0costs saved
0hours saved
$0business won or kept
Development
0
engineering hours saved
- $0 in development cost avoided
- About 0 engineers working for a full year
Business attracted and saved
$0
won or kept since go-live
- $0 won with prototype-backed pursuits
- $0 kept from clients at risk
Clients to market sooner
0 weeks
sooner on every module
- 0 client team hours avoided
- $0 in client program cost avoided
- $0 of earlier value realized
Your numbers
Every figure above comes from these inputs. Change them to match your own program.
More assumptions
Hours saved = modules delivered × (traditional hours minus CloudCare hours). Client hours avoided = modules × weeks saved × team size × 40. Business won = pursuits × win-rate lift × contract value. Earlier value = modules × weeks saved × value per week. An engineer-year counts as 1,800 hours. All defaults are illustrative placeholders, not measured results or promises.
Modeled with synthetic data and the assumptions above. Illustrative only: not a forecast, a guarantee, or a clinical or actuarial determination.
Buy outcomes, not tools
The questions every buyer should ask, answered.
| The question | CloudCare’s answer |
|---|---|
| What outcome improves, from what baseline, by when? | V2R bars are set before we start, and measured throughout |
| Technology, process, culture and sequence? | Clinicians set the bars; start small, then scale what works |
| Will people accept it? What work does it remove? | It removes work people feel, starting with the most repetitive steps |
| Lower the cost of reprocessing data, or add a silo? | Data mapped where it lives and processed fast; no new silo |
| Can we change tools later without losing data? | Sovereign: you own the data, the index and the models, with open-source AI |
| Will the partner be measured on outcomes? | Kill criteria and a scored V2R record on every capability |
Reach it. Build on it. Act on it. Keep going.
CloudCare connects to the data healthcare already has, turns a vision into working software fast, runs it in production without a rebuild, acts on it responsibly, and absorbs change instead of breaking.
- V2RThe long middle disappears.
- CloudCare OSChange is absorbed, not feared.
- Care IntelligenceThe right action reaches the right person early.
- OutcomesEarlier action and savings you can count.
Where CloudCare works.
Integrators, agencies and care teams, from the first prototype to production.
Use Cases · Overview
Thirty-three ways CloudCare goes to work
Use cases are grouped into four themes. Pick your audience to narrow the list, or use the map to see where each theme fits. IRIS can explain any of them.
Where the use cases fitEach dot is a use case. Tap a cell to jump to it.
What we heard in Washington
Themes from federal health leaders, and what each means for CloudCare.
Mission speed
Value has to show in weeks, on the systems agencies already run.
Delete the middle
Remove middleware, duplicate copies and manual handoffs.
AI into legacy systems
No rip-and-replace: connect to existing EHR and agency systems.
AI as efficiency
Tie AI to measurable time saved, not demos.
No vendor silos
The agency owns its data, models and deployment.
Interoperability
FHIR, SNOMED CT, LOINC and RxNorm built in, not added on.
Protected technology.
The patents behind CloudCare, listed in one place.
Patents
Provisional applications
Tap a bubble to see what each stage means.
Independent patent appraisal
In December 2024, Ocean Tomo appraised nine issued Life365 U.S. patents at $777 million.
The appraisal covers those patents only. It does not cover patents issued since, allowed or pending applications, or the provisional applications, which have not been valued. It is an appraisal of patents, not of the company.
Patent portfolio
U.S. patents and pending applications held by Life365, Inc., grouped by technology. Each issued patent links to the USPTO.
| Patent | Title | Group | Issued | At the USPTO |
|---|
Pending applications
| Application | Title | Group | Filed | At the USPTO |
|---|
Notice
Copyright © 2026 Life365, Inc. All rights reserved. Patented. Confidential. CloudCare® is a registered trademark of Life365, Inc. This page and the information on it are the property of Life365, Inc.
Talk to the team that builds CloudCare.
Tell us about your program. We will point you to the right part of CloudCare and, where it fits, show it working on synthetic data.
Contact · Choose your path
Start with who you are
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Contact · Meet
Book a time
Prefer to talk? Suggest up to two times and we will confirm one by email.
- 30 minutes for an introduction and a quick look
- 60 minutes for a walkthrough built around your program
Common questions
Quick answers to what people usually ask first. IRIS, on the right edge of the page, can go deeper on any of them.
See it work, start to finish.
A guided tour of V2R: from the artifacts of an existing system to a working system on CloudCare OS.