Strategic Partnership Opportunity: Singular Health × HealthEx × Claude for Health

Strategic Partnership Opportunity: Singular Health × HealthEx × Claude for Health
Owning the Imaging Control Plane for AI-Native Healthcare
Imaging is the missing layer
Why Now
HealthEx Discussions
Anchor leadership on why this matters now
Architectural Window
HealthEx is early in medical imaging → architectural window is open
Claude Needs Context
Claude for Health needs safe, governed imaging context
Unique Solution
Singular's MFTP uniquely solves imaging at scale
Strategic Position
Opportunity to become default imaging control plane, not a vendor
Market Context: AI-Native Healthcare Is Fragmented
Frame the problem the partnership solves
The Data Stack Gap
Text, labs, and admin data are AI-accessible today
Imaging remains siloed, large, risky, and underutilized
AI platforms without imaging are incomplete
Imaging: The Missing Layer
Healthcare data stack with Imaging highlighted as the gap
The Strategic Triangle
Who Does What
Clarify non-overlapping roles
Claude for Health
Intelligence & reasoning
HealthEx
Consent, TEFCA aggregation, patient access
Singular Health
Imaging transport, governance, normalization
High adjacency, no overlap
Confirmed Signal from HealthEx: Imaging Is Early
Justify urgency and timing
Just Beginning
HealthEx management confirmed imaging exploration is just beginning
Open Architecture
Architectural decisions are not locked
First Mover Advantage
First mover sets the default
The Imaging Problem
Why This Is Hard
Reinforce why Singular is uniquely positioned
DICOM Complexity
DICOM complexity and variability
Scale Challenge
Large file sizes (GB-scale)
Regulatory Risk
Regulatory and consent risk
Infrastructure Gap
Not suited for standard FHIR pipes
Why Imaging Breaks Standard Data Pipes: Traditional healthcare data infrastructure was not designed for the complexity, size, and regulatory requirements of medical imaging.
Singular's MFTP as the Imaging Control Plane
Position Singular as infrastructure, not feature
Core Capabilities
Secure, lossless DICOM transport
Policy-based routing and auditability
AI-ready metadata extraction
Human-in-the-loop governance
Architecture diagram showing MFTP between networks and AI
Value to HealthEx & Claude
What Singular Delivers
Make partner value explicit
TEFCA Integration
Enables imaging inside TEFCA flows
Safe AI Context
Makes Claude imaging-aware without unsafe inference
Payer Workflows
Unlocks payer workflows (prior auth, appeals)
Before Singular
Imaging siloed, inaccessible to AI, manual workflows
After Singular
Imaging integrated, AI-ready, automated workflows
Value Back to Singular
Why This Is Strategic
Show upside beyond integration revenue
National Distribution
National distribution via HealthEx
Embedded Position
Embedded position inside Claude ecosystem
Strategic Shift
Shift from infrastructure vendor → AI-essential layer
New Revenue
Access to new monetizable workflows
Value flywheel or platform leverage graphic
Strategic Options for Singular
Frame the decision explicitly
Option 1
Passive integration partner
Option 2
Preferred imaging partner
Option 3 (Recommended)
Default imaging control plane
Table or ladder with risk vs leverage
Recommended
Singular should pursue Default Imaging Control Plane positioning
Timing Advantage
Window is open now
Architectural Lock-in
First mover sets standard
High Defensibility
Hard to replicate position
Near-Term Execution Plan
90 Days
Enable action
1
Step 1
Architecture alignment with HealthEx & Anthropic
2
Step 2
Narrow pilot (1 modality, 1 use case)
3
Step 3
Commercial positioning & narrative
4
Step 4
Governance & trust alignment
90-day timeline with milestones
KPIs & Success Metrics
Define what winning looks like
Key Performance Indicators
% of HealthEx imaging routed via Singular
Time to onboard new imaging networks
of Claude workflows using imaging context
Expansion into payer use cases
Dashboard-style mockup
Strategic End State
Singular becomes the imaging substrate for AI-native healthcare
This partnership positions Singular Health to own the hardest, most defensible layer of AI-native healthcare—medical imaging—at the exact moment HealthEx and Claude need it most.