Pain Intelligence

Building the intelligence layer for chronic pain care

DavantAI is building a multimodal intelligence layer that learns how chronic pain evolves over time — turning fragmented signals into longitudinal, patient-specific insight.

Starting with chronic pain. Building toward the Pain Intelligence Platform.

The challenge

One of healthcare’s unresolved challenges

Chronic pain affects hundreds of millions of people worldwide, yet care still depends on episodic snapshots that cannot explain how pain changes from day to day.

20%

of the global population

lives with some form of chronic pain

150M

people in Europe

are affected by chronic pain

619M

people with low back pain

one of the world’s leading causes of disability

The missing layer

What chronic pain care lacks is not just more attention. It lacks intelligence.

The system sees isolated moments. Pain lives in the time between them.

Today

Episodic and fragmented

Consultations are snapshots. Self-reporting is partial. The factors that drive pain variation remain largely invisible.

What is needed

Continuous and patient-specific

A model that integrates signals over time, learns each patient’s dynamics, and turns complexity into actionable understanding.

DavantAI is building that missing layer.

The foundation

A multimodal digital twin of pain

At the core of our technology is a patient-specific digital twin designed to learn the dynamics of pain over time.

Our model integrates multiple streams of information — including wearable signals, smartphone-based context, and patient-derived information captured actively or through interaction — into a richer, more continuous understanding of the patient’s pain journey.

The first applications

Two connected AI-Assistants. One intelligence layer.

The first applications of our pain digital twin are two connected AI-Assistants: one for patients, and one for clinicians. Together, they create a continuous loop of support, insight, and learning.

For patients

Support between consultations

A conversational companion that helps patients capture symptoms, experiences, and context — while providing continuity throughout the everyday pain journey.

Check-ins · context · reflection · support

For clinicians

A richer view before and between visits

A clinical interface that turns longitudinal signals into clearer patterns, helping clinicians understand change over time and prepare more informed conversations.

Patterns · summaries · evolution · insight

Connected-system advantage

Each assistant makes the other more useful.

Patient interaction enriches the digital twin. The twin supports clinical understanding. Clinical decisions and outcomes feed the next learning cycle.

The horizon

Our long-term vision

We see the digital twin and the first two AI-Assistants as the starting point—not the end point. As more patient journeys, interactions and multimodal signals feed the system, the underlying intelligence will keep improving. And this will pave the ground for the Pain Intelligence Platform and help lay the groundwork for the Foundation Model of Pain.

Multimodal Digital Twin

The patient-specific intelligence model that learns the dynamics of pain over time.

Connected AI-Assistants

Two interfaces that create a continuous learning loop between lived experience and clinical care.

Pain Intelligence Platform

Infrastructure for new applications, research capabilities, and personalized pain care.

Built with the right ecosystem

Scientific depth. Clinical access. Patient reality.

DavantAI is being built with the institutions and communities required to turn a powerful thesis into credible health technology.

Academic & scientific foundations

UPM

Universidad Politécnica de Madrid

Academic foundation

UCM

Universidad Complutense de Madrid

Academic foundation

Clinical collaborators

HUPHM

Hospital Puerta de Hierro Majadahonda

Clinical collaborator

HM Hospitales

Clinical collaborator

MD ANDERSON

MD Anderson Cancer Center Madrid

Clinical collaborator

TEKNON

Clínica Teknon

Clinical collaborator

IED

Instituto Español del Dolor

Clinical collaborator

Innovation ecosystem

WAYRA

Wayra

Innovation ecosystem

MADRI+D

Fundación para el Conocimiento madri+d

Innovation ecosystem

B&M HEALTH HUB

Barcelona & Madrid Health Hub

Digital health ecosystem

Validation in motion

From thesis to real-world validation.

The company is moving through a staged path: concept validation, multimodal development, broader pilots, and regulated clinical deployment.

2026 · Now

MVP and multicentre pilot

Validating the digital twin concept, the Personalized Pain-Wellbeing Index and both AI-Assistant propositions with patients and clinicians.

In progress

2027

Multimodal development

Building the full digital twin architecture, the two connected AI-Assistants and the first wellness product route.

Q4 2027 · Q1 2028

Expanded real-world pilots

Testing the connected system across selected indications and clinical environments, with broader patient and clinician evidence.

2028 · 2029

Clinical certification and scale

Advancing regulated clinical deployment while expanding indications, integrations and the Pain Intelligence Platform.

Collaboration

We are looking to collaborate with forward-thinking partners.

Chronic pain needs a new generation of intelligence infrastructure — and meaningful progress will come through collaboration across clinical care, health systems, research, and patient communities.

Clinical institutions

Insurers

Pharma & Life Sciences

Telemedicine providers

Research partners