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.
AI
Millions of people are telling AI the hardest things in their lives. Nobody's talking about what happens when it forgets them.
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Edge-AI
On-device AI inference, natural voice, physical expression — no cloud, no API, no data leaving the hardware. Here's what that milestone means, and why
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Contact Us
(434)942-1548
info@orraclellc.com
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