Proprietary hardware-software loop using local Edge-AI to map sentiment to physical mechanical affect. Zero-cloud latency for HIPAA-compliant interactions.
Affective Robotics
Digital Diagnostics
Currently in discussions for our first pilot sites
Traction & Outcomes
Evidence, not just ambition.
These are the engagement and outcome targets our clinical-AI ecosystem is built to prove as our first pilot sites come online.
Patents pending
Targeted pilot sites
Targeted lift in between-session engagement
On-device AI response latency
Defensibility
Built to defend a valuation.
Our moat is architectural and legal, not incidental — compliance, IP, and edge-native engineering were designed in from day one.
HIPAA-compliant by design
Zero-cloud, on-device processing keeps protected health information local — compliance is structural, not bolted on.
Proprietary, protected IP
A hardware-software affective loop with three patents pending — defensible technology, not a reskinned model wrapper.
Edge-native architecture
On-device inference delivers sub-100ms response with no cloud dependency, cutting cost, latency, and data-exposure risk.
Clinical validation pathway
Built around measurable therapeutic outcomes and a clear regulatory posture, so pilots convert into evidence acquirers trust.
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(434)942-1548
info@orraclellc.com
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