Senior care companies

White-label Amigo, deployed inside your infrastructure.

Run the full Amigo voice AI platform — companion calls, alerts, family view and the CogPath and VGDS signal modules — under your own brand, on your own infrastructure, with complete control of the data path.

Data sovereigntyWhite-labelOn-premise readyGDPR-aligned

What it is

The full Amigo platform, running as your product.

Not a chatbot bolted onto your stack — the complete companion platform Verbasync operates, installed inside your environment and branded as your own.

Companion calls01

The full Amigo call engine

Scheduled and on-demand phone conversations built on reminiscence-therapy frameworks, daily check-ins and medication reminders — the same companion experience, running under your brand.

Alerting02

Real-time alerts to your teams

Detection of alarming pain or strong discomfort in a conversation triggers alerts to caregivers, routed through your escalation chain rather than a third-party console.

Family view03

Family visibility layer

A daily check-up summary of mood, condition and cognition that families and care teams can see, with alerts the whole circle shares.

Signal modules04

CogPath and VGDS built in

Longitudinal cognitive pattern analysis and geriatric mood signal run over every conversation, giving your operation a continuous measurement layer without extra tests.

Why on-premise

Control the data path, keep resident trust.

Senior care runs on sensitive data and long relationships. An on-premise deployment keeps both inside your control.

01Custom systems that live inside your enterprise constraints.Verbasync builds on its own IP and can deploy on-premise or license the IP, so senior care teams keep control over the data path, behavior and operating model rather than routing residents through an external SaaS.Deployment control
02Resident data stays inside your perimeter.Conversations, transcripts and derived signal are processed within the infrastructure you designate, so data residency, retention and access follow your own policy and your regulator's expectations.Data sovereignty
03A voice layer your residents and staff can trust.The companion identifies as AI, runs under your brand, and behaves consistently with the care relationship you already have — no unfamiliar third party in the conversation.Resident trust

What's included

Everything needed to run the voice layer yourself.

A complete deployment package — the apps, the runtime, the dashboards and the integration surface.

White-label apps

Companion, dashboards and family views rebranded to your identity, running as your product.

Call engine

The telephony and conversation runtime that places, receives and structures every call.

CareLM runtime

The senior-safe GPT-OSS base model that powers interaction, running inside your deployment with locked, versioned weights.

Dashboards

Operational views for care teams: resident status, mood and cognition trends, and call history.

Alerting

Configurable alert rules wired into your escalation chains and on-call model.

Integration APIs

Endpoints to connect rostering, care records and teleassistance systems to the voice layer.

Deployment

From scoping to production in six defined steps.

Each stage has a clear owner, a clear output and your sign-off before the next begins.

Step 01

Scoping

We map your infrastructure, data residency requirements, resident population and integration surface, then agree the target architecture.

Step 02

Install

The platform is deployed inside the environment you designate — your cloud tenancy, private cloud or on-premise hardware.

Step 03

Brand

Apps, dashboards and family views are white-labeled to your identity, so residents and staff see your product.

Step 04

Integrate

Rostering, care records, CRM/EHR and teleassistance systems are connected through the integration APIs.

Step 05

Train

Care teams are trained on the dashboards, alert handling and day-to-day operation of the voice layer.

Step 06

Operate

You run the platform in production with agreed SLAs, versioned model weights and a defined update path.

Who it's for

Built for operators who own the resident relationship.

Any senior care operation that wants a branded voice layer inside its own perimeter.

Home care

Care continuity, alert monitoring, medication reminders and a soothing presence for recurring dementia calls — keeping people at home longer and healthier.

Senior living

A memoir activity that supports cognitive health, organisation-wide visibility, early detection of complications and a premium cognitive-care offering.

Teleassistance networks

A voice agent that calls after IoT and assistance alerts, understands urgency, routes escalation and keeps the conversation going when the person needs support.

Prefer a platform designed from the ground up around your operations rather than a white-label of Amigo? See the bespoke voice agent platform.

Operations

How the deployment is run over time.

The questions operators ask before they commit to running the voice layer themselves.

Updates

Platform updates are delivered on an agreed cadence with staging validation, so new behavior never lands in production without your sign-off.

SLA

Uptime, alert-delivery and support response targets are defined in the deployment agreement and monitored against your operating requirements.

Model weights versioning

CareLM weights are locked and versioned per release, so the model driving conversations is reproducible and every change is traceable.

Data path

Where audio, transcripts and derived signal live, how long they are retained and who can access them follow your policy, documented end to end.

Discuss an on-premise deployment.

Tell us about your infrastructure, resident population and data residency requirements, and we will map the deployment architecture with you.