EmaEQ
Emotionally intelligent AI.
Built for care.
Before AI was everywhere, we were already building for empathy. We built the first agentic AI for women's health in 2020.
Today, EmaEQ is a health AI company at the intersection of evidence, empathy, and engineering. We’re on a mission to bring emotionally intelligent AI to every corner of health and wellness — starting with women.
From Ema to EmaEQ
The Origin of a New Category:
Emotionally Intelligent AI
What started as a single assistant has evolved into an infrastructure layer for how AI can safely support health at scale. Ema was our first product — now, she’s part of something bigger.
"We didn’t set out to build AI. We set out to solve for women. This is the system that emerged."
— Amanda Ducach, CEO
Engine
The EmaEQ Timeline
Community-first beginnings
Launched an app for women navigating health concerns. 10M+ conversations revealed gaps in care and gave us a proprietary dataset to train on.
AI becomes the next chapter
Started training Ema on real-world data, aligned with clinical safety frameworks.
Real-world validation
Launched Ema MVP directly to women — proving empathy and accuracy can coexist.
B2B expansion
Ema deployed inside health platforms as an embedded AI assistant.
Commercial traction
Partners include femtech, diagnostics, and mental health.
A broader mission emerges
Expanded the vision: Ema is the first of many emotionally intelligent AI applications from EmaEQ.
The Why Behind
The Work.
We believe AI for health must be:
Emotionally Intelligent
Not just accurate, but aware of context, history, and emotion.
Clinically Grounded
Built with safety, science, and escalation at its core.
Equity-Driven
Trained on real, diverse health experiences — not scraped content.
Our Team.
The DNA of EmaEQ is in our people — clinicians, scientists, technologists, and operators solving for real-world care.
"We’ve been building for women since day one."
Amanda Ducach
"Building infrastructure that bridges data and empathy."
Vish Sharma
"Ensuring every interaction is clinically grounded."
Karishma Patel
"Trained to feel like care, built to understand complexity."
Morgan Rose
"Building resilient AI systems with over 10 years of experience."
Martin Piria
"Translating complex clinical needs into seamless product experiences."
Russ Foltz-Smith
If you’re building AI in health and wellness —
start with the most complex use case.
That’s how you build something that works for everyone.