For research

Your own trial voice platform, built and deployed.

We build and deploy a proprietary voice AI trial platform that you own and operate — bespoke protocol logic, custom endpoints, custom analysis pipelines, optional biomarker modules, on your infrastructure or ours.

Sponsor-ownedCustom endpointsYour infrastructureHandover & training

Managed vs bespoke

The same domain, a different ownership model.

Managed means we run the platform for you. Bespoke means we build it, deploy it and hand it over — you own and operate it.

DimensionManagedBespoke
Who operates itVerbasync runs calls, collection and analysis as a serviceYou own and operate the platform; we build, deploy and hand it over
Protocol logicConfigured on the managed platformBespoke protocol engine built to your study design
InfrastructureVerbasync infrastructureYour infrastructure or ours, per data residency needs
EndpointsStructured collection plus optional marker layersCustom endpoints and analysis pipelines designed for your program
AnalysisStandard longitudinal analysis with CogPath / VGDS optionsCustom analysis pipelines and optional biomarker modules
HandoverNo handover — operated for youFull handover and training to your team
Best fitFaster start, lower operational liftMulti-year programs, custom endpoints, residency constraints

Not sure which fits? Start with managed Voice AI for decentralized trials and move to bespoke as the program scales.

What gets built

Four systems, built to your protocol.

Each piece is designed around your study rather than configured on a shared platform.

01

Call orchestration

The scheduling, retry and telephony layer that reaches participants on your protocol's cadence, in their natural environment.

02

Protocol engine

Bespoke logic that encodes your study design — visit windows, branching, prompted items and naturalistic collection.

03

Analysis pipeline

Custom pipelines that turn voice and language into your endpoints, with per-participant baselines and trend detection.

04

Dashboards

Monitoring views for your study teams: adherence, call status, signal trends and flags in near real time.

Process

From protocol mapping to handover.

A build track that ends with the platform in your hands — validated, deployed and operated by your team.

Step 01

Protocol mapping

We map your study design, visit schedule and data requirements into the platform's protocol model.

Step 02

Endpoint design

Custom endpoints and the analysis needed to produce them are designed with your team and, where relevant, your medical committee.

Step 03

Build

Call orchestration, protocol engine, analysis pipeline and dashboards are built on Verbasync IP.

Step 04

Validate

The platform is validated against your protocol and quality expectations before any participant is called.

Step 05

Deploy

The platform is deployed into your infrastructure or ours, according to your data residency constraints.

Step 06

Handover

Your team is trained and the platform is handed over, so you own and operate it going forward.

Data & IP ownership

You own the deployment.

The distinguishing feature of bespoke: the platform, its data path and its operation belong to your program.

01The platform is yours to run.At handover, the deployment sits with your team on the infrastructure you chose. Bespoke protocol logic, endpoints and pipelines are built for your program, and you operate them across the life of the study.You own the deployment
02Data lives where your program requires.Because the platform can run on your infrastructure, data residency, retention and access follow your policy and your regulator's expectations — a common requirement for multi-year and multi-region programs.Data residency on your terms
03Custom, but not built from scratch.The bespoke platform is assembled on the same IP behind Amigo, CareLM, CogPath and VGDS, so you get a system tailored to your protocol without re-inventing the voice and signal layer.Built on proven IP

When to choose bespoke

Where owning the platform pays off.

Bespoke is the right route when the program is long, the endpoints are custom, or the data has to stay in your perimeter.

Multi-year programs

Long-running studies where owning and operating the platform is more economical than a managed service over time.

Custom endpoints

Programs whose endpoints need bespoke protocol logic and analysis pipelines beyond the standard managed offering.

Data residency constraints

Studies that require data to live inside a specific jurisdiction or your own infrastructure end to end.

Custom endpoints often need custom marker extraction — see the bespoke biomarkers extraction pipeline and the CNS R&D datasets.

Scope a bespoke trial platform.

Bring your protocol, endpoints and residency requirements, and we will scope a voice AI trial platform you own and operate — built, validated, deployed and handed over.