EMORA
See the emotion coming,
in time to get it right.
Emotion-sensing hardware for families — starting with ADHD (6–12)
An embodied agent that senses the child in real time,
and warns you before emotions escalate — not after.
EMORA · Sense — Intervene — Learn
The Problem
They lack a decision window.

“It's not that we don't know the methods — it's that in those few seconds, nothing comes to mind.”
— Beta family, interview recordThe Wedge · Why ADHD First
Why ADHD first?
High-frequency
Homework, wake-up, meals, bedtime — conflict scenarios recur every day
High-pain
One misread interaction can escalate fast into parent–child conflict
Time-sensitive
The window where intervention works may last only tens of seconds
Measurable
Alert — action — outcome: every stage is observable
Longitudinal
The same family keeps producing interactions and data over time
The Product
From sensing to action

Contactless sensing
A millimeter-wave radar reads breathing, heart rate and movement; a microphone array catches crying and shouting. Nothing to wear, nothing to operate.

Just-in-time alerts
A quiet watch vibration: “This may be escalating.” It appears only at the critical moment — fully silent otherwise.

Actionable guidance
Not a data dashboard — it answers “what to do right now”: lower the ask, stop pressing on who's right.
Alerts reach the parent's wrist ≥20s before eruption · End-to-end latency P95 ≤2.5s
The Agent Loop
A closed-loop agent,
not a chatbot.
SENSE
Continuously ingests multimodal signals from the real world
REASON
Estimates escalation risk against this child's own baseline
ACT
Triggers the parent alert with actionable guidance
Every real-world intervention is both an execution loop and a learning loop.
IMPROVE
Makes the next judgment know this child a little better
REMEMBER
Stores triggers, timing patterns and intervention history
OBSERVE
Captures the parent's response and what follows
Embodied AI
AI that operates in the physical world
Waits for a prompt
Context resets with every session — blind to the environment, accountable for nothing
Lives in the loop
Always present — actions change outcomes, and outcomes sharpen the next judgment
Physical sensing
Input is a continuous stream from the real environment, not text typed by a user.
Persistent context
Learns this child's baseline — not a population average.
Real-world action
The output is not a paragraph; it is a parent's action at a specific moment.
Feedback
What happens after the action becomes input to the next judgment.
EMORA is building an AI agent that acts inside the loop of real family life.
The Data Moat
The moat is not accuracy.
It is the corpus.
“This child was anxious at that moment.”
“Which signal combinations precede escalation; what the parent did; how it turned out.”
Text and dialogue are everywhere online. Corpora of signal → intervention → outcome can only grow inside real families.
Traction
Real families,
real validation
Wearable
Discovery: kids refused to wear it — adherence is a hard constraint, not a parameter to tune
Contactless
Change: sensing moved into a desk device — zero burden, zero operation for the child
Dual-end system
Change: decision support moved to the parent — the intervention finally closes its loop
wearable → contactless → dual-end → closed-loop intervention agent
Effectiveness ±5% — delivered ≥20s ahead, confirmed effective by the parent
Beta families in continuous use
Real intervention events, recorded
Weeks of longitudinal family logs
The product definition changed because real families told us what was wrong.
Why Now
Three curves
are converging
Continuous on-device
compute becomes possible
Small models and on-device inference make 24/7 local processing viable on consumer hardware.
Contactless sensing
goes consumer-grade
mmWave-class sensing hardware keeps getting cheaper — home deployment becomes economically viable for the first time.
AI moves from recognition
to decision & action
From answering “what happened” to answering “what to do next”.
Physical sensing × AI reasoning × Real-world action
Where the three curves converge — there is EMORA.
Why Us
Founder-market fit
× full-stack execution
Yuan Weiqing
Founder & CEO
- 10+ years in product at Tencent / NetEase, P8+ product lead
- Shipped 100M-DAU products · ran ¥100M+ revenue businesses
- Hands-on 0→1 with AI agents and multimodal models
- Parent of an ADHD child — I live this problem every day
Zeng Weifeng
Hardware Partner
- Wuhan University · 15+ years in hardware engineering
- Smart wearables and connected devices
- Full chain: prototype → engineering → mass production
- Execution on the Shenzhen supply chain
Wearable → Contactless
Reality killed the hypothesis“Kids will wear it” didn't hold — adherence is a hard constraint. We rebuilt the sensing architecture.
Single-end → Dual-end
Users redefined the productThe one who needs decision support is the parent, not the child. Action moved to the parent side.
Display → Actionable
The product became an agent“Knowing” isn't enough — answer “what do I do now”, directly.
Our advantage is not getting everything right the first time. It is learning faster from reality.
The Vision
ADHD is our wedge.
Emotional intelligence
is the platform.
One child · one family
one intervention window
Thousands of families
one continuously learning agent
Not a better parenting app.
An AI agent that participates in real family life.
It starts with the few seconds when there is still time to change what happens next.
EMORA — Sense · Intervene · Learn
EMORA · Thank You