Clinical Intelligence Infrastructure
Healthcare doesn’t stop between visits. Neither should intelligence.
Arvelant is building the intelligence infrastructure that helps care teams recognize emerging needs, understand changes over time, and close gaps in care.
Illustrative visualization — not patient data.
The Challenge
Care is episodic. Patient health is continuous.
Clinical encounters provide important snapshots of a patient’s health. But meaningful changes can emerge between visits, across care settings, and through everyday patient experiences.
Information may be fragmented across clinical records, patient-reported symptoms, care interactions, and other sources.
As a result, care teams may struggle to maintain a timely, longitudinal understanding of emerging needs and gaps in care.
Fragmented Information
Patient signals are distributed across disconnected systems and interactions.
Limited Between-Visit Visibility
Important changes may emerge outside scheduled encounters.
Reactive Workflows
Care teams often lack timely, organized information to support proactive follow-up.
Our Approach
From fragmented signals to meaningful clinical intelligence.
A reusable intelligence architecture designed to connect information, build longitudinal context, and surface insights for clinical review.
Connect
Bring together relevant clinical, patient-reported, and contextual information across time and care settings.
Understand
Organize longitudinal signals and interpret changes within the appropriate clinical context.
Recognize
Identify potential changes, emerging needs, and care gaps that may warrant clinical attention.
Intelligence that works within care.
Information can come from Mumspring, Agnes, or supported third-party patient-facing solutions — and is always reviewed by the care team.
Step 1
Patient Experience
via Mumspring, Agnes, or supported third-party solutions
- Check-ins
- Symptom reporting
- Education
- Appointment support
- Care navigation
Step 2
Arvelant Intelligence
- Longitudinal signal organization
- Contextual interpretation
- Potential care-gap recognition
- Prioritized information for review
Step 3
Care Team
- Clinical review
- Patient outreach
- Triage
- Escalation
- Coordinated follow-up
Built for Scale
One intelligence foundation. Multiple clinical applications.
Arvelant is being designed as a condition-agnostic platform, with reusable capabilities that can support different clinical domains through specialized intelligence modules.
Maternal Health
First application — pregnancy and postpartum care.
Chronic Care
Potential future applications in longitudinal condition management.
Additional Clinical Domains
A foundation designed to support future clinical use cases.
Where We Begin
Bringing greater continuity to maternal care.
Pregnancy and postpartum care involve changing needs, evolving risk factors, and critical transitions between clinical encounters.
Arvelant’s initial application focuses on helping maternal care teams organize between-visit information, recognize potential changes and care gaps, and support timely, coordinated follow-up.
- 1Pregnancy
- 2Prenatal Care
- 3Birth
- 4Postpartum
- 5Ongoing Care
Between-visit symptom visibility
Maternal care-gap identification
Postpartum continuity
Care coordination and follow-up
Clinical workflow support
Potential use cases under development and evaluation.
The Product Ecosystem
Designed to work with the tools healthcare organizations already use.
Infrastructure
Arvelant Intelligence
The underlying clinical intelligence infrastructure that organizes longitudinal information and supports clinical review.
Conversational AI assistant
Agnes
An independently deployable conversational AI assistant for patient engagement, education, structured check-ins, and navigation.
Patient application
Mumspring
The initial patient-facing maternal health application, connecting patients with education, engagement, and care support.
Partner systems
Compatible healthcare applications & clinical workflows
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Arvelant and Agnes are designed for modular integration with compatible healthcare applications and clinical workflows.
Building with Clinical Partners
The future of clinical intelligence must be built with clinicians.
We’re engaging healthcare organizations, clinicians, researchers, and technology collaborators to shape and evaluate how longitudinal intelligence can support real-world care.
01
Clinical Pilot Partners
Explore feasibility, workflow fit, usability, and potential clinical value.
02
Research Collaborators
Support rigorous evidence generation and evaluation.
03
Technology Partners
Explore integrations with patient-facing applications, clinical systems, and complementary technologies.
04
Strategic Partners
Explore distribution, commercialization, and broader platform applications.
Better intelligence. More connected care.
We’re building Arvelant with the clinical and technology partners who believe healthcare should be more continuous, contextual, and proactive.
Contact
Start a conversation.
Tell us about your organization and how you’d like to collaborate — clinical pilots, research, technology integration, or strategic partnership.