Investor Relations

Building the intelligence layer for longitudinal care

Dr.MaxHealth builds the intelligence layer healthcare organizations need to see the whole trajectory of a patient, not the last snapshot.

Investment snapshot

Stage
Pre-seed, founder-led
Legal entity
DMH Software UG (haftungsbeschränkt), Hamburg
Funding to date
Founder capital and a non-dilutive public innovation grant
External venture capital
None to date
Category
Patient trajectory intelligence
Initial wedge
Risk-bearing primary care
Product
PULSE — five layers implemented as one system
Programmes
NVIDIA Inception · Microsoft for Startups · Körber Start-Hub

Investment thesis

Clinical systems record isolated events while chronic risk develops continuously. Healthcare organizations need systems capable of modeling the patient as a trajectory.

Product

PULSE

PULSE reconstructs the available longitudinal clinical record into one patient trajectory: it models clinical change, forecasts where key biomarkers are heading with quantified uncertainty, connects findings to medical evidence, and prepares a structured summary for physician review.

  • PULSE TimelineLongitudinal record reconstruction
  • PULSE TrajectoryTemporal modeling and forecasting
  • PULSE OrchestratorTrained clinical orchestration
  • PULSE Evidence GraphEvidence and provenance
  • PULSE Review LoopPhysician review
Explore the Platform

Go to market

Initial commercial wedge

  • Risk-bearing primary care
  • Medicare Advantage-oriented provider groups
  • ACOs
  • Multisite care networks

Technology

Where the depth sits — and why it compounds

The defensibility is not one model. It is an ordered system in which each layer depends on the one before it, and in which physician review returns into the system.

Value compoundswith use, not per queryLongitudinal record01Patient representation02Forecasting and orchestration03Evidence-linked findings04Physician decisions05
01
Longitudinal record
Years of the organisation's own laboratory results, diagnoses, medications and notes.
02
Patient representation
One ordered longitudinal representation every other component reasons over.
03
Forecasting and orchestration
Recurring biomarkers projected forward; the orchestrator decides what a case needs.
04
Evidence-linked findings
Each finding carries its supporting observations and the medical evidence behind it.
05
Physician decisions
Confirmations, corrections and dismissals captured in structured form.
Physician decisions return into the representation and the evaluation.Figure 04 · Illustrative patient data
Internally trained orchestration model
The PULSE Orchestrator is trained in-house to decide which specialized medical reasoning, predictive models, and retrieval a case requires, and to reconcile their output.
Longitudinal patient representation
One ordered representation of the available clinical record that every other component reasons over.
Predictive biomarker models
Temporal models that project recurring biomarkers forward with quantified uncertainty against the patient's own baseline.
Evidence Graph
Findings are linked to the record entries they were derived from and to the medical literature, guidelines, and structured knowledge that support them.
Physician Review Loop
Physician decisions and corrections are captured in structured form and feed back into evaluation.
Model-agnostic architecture
Reasoning components can be substituted as the underlying model landscape changes, without rebuilding the clinical layer.

Traction

Where we are

Physician evaluation
Retrospective cases adjudicated with clinicians on findings, omissions, and usefulness.
Clinical evaluation partners
Evaluated with physicians and outpatient-care partners in Europe.
Product development
The five core PULSE layers are implemented and run as one system on longitudinal records.
Research progress
Documented evaluation methodology with held-out data, defined comparators, and uncertainty evaluation.
Institutional support
IFB Hamburg — InnoFounder · NVIDIA Inception · Körber Start-Hub · Microsoft for Startups

Business model

How it is sold

Buyer
Healthcare organizations accountable for long-term outcomes across a defined population.
User
Physicians and clinical teams conducting longitudinal patient review, plus the clinical leads who prioritize it.
Pilot
A retrospective run on the organization's own historical records, adjudicated by their clinicians, followed by a controlled pilot in one agreed review step.
Contract path
Evaluation agreement and data-processing agreement, then a controlled pilot with defined success criteria, then a commercial agreement scoped to population and workflow.

Pricing is agreed per engagement and is not published.

Team

Founder thesis

A molecular microbiologist and former infectious-disease researcher with peer-reviewed publications, building the clinical and research core, alongside an operator responsible for commercial execution.

Meet the Team

Investor materials

Request Investor Materials

Materials for investor review are shared directly on request. Write to us with who you are and what you are looking at.

Include your fund or organization, your role, and the areas you would like to review. We reply with the current materials and propose a call.

Email us for investor materials

Email inquiries reach office@drmaxhealth.de. Never send patient data.