Ethos builds ethical AI evaluation systems, annotation quality frameworks, and early health companion tools that help people make sense of complex information.
Lisa Ronquillo
Founder · Ethos Annotation Solutions
AI Annotation Specialist · Prompt Engineer · Researcher · Builder
Three intentional areas of work — each grounded in research, ethics, and real human experience.
Frameworks and review systems that make AI outputs more accurate, transparent, and aligned with real human needs.
Early-stage tools designed to help people organize symptoms, supplements, and lab trends with clarity and care.
Thoughtful prototypes at the intersection of AI, health, and education — grounded in lived experience and research.
Drawing from interdisciplinary experience across AI systems, research, education, and real-world problem solving.
Ethos Annotation Solutions exists to bridge the space between data and humanity.
Ethos was built around a simple idea: technology becomes more meaningful when systems are designed with empathy, ethics, and human understanding at their center.
Quality systems that center clarity, consent, and care.
Designing the human side of machine learning, not just the data.
Software that listens, organizes, and honors lived experience.
Writing, teaching, and exploring how AI can serve people well.
Frameworks for AI that earns trust through transparency.
A small, intentional set of explorations at the intersection of AI, health, and human experience.
A human-centered health companion concept designed to help users organize symptoms, lab trends, supplements, journaling, and health insights into clearer stories.
These tools are for educational and organizational support only and are not medical advice.
Evaluation frameworks and annotation quality systems intended to support healthier human–AI interactions.
Structured supplement tracking and pattern recognition intended to help users better understand their health data.
These tools are for educational and organizational support only and are not medical advice.
Exploring AI, education, emotional technology, and ideas that make people feel more understood.
I've spent years working across AI systems, education, writing, research, annotation, and human stories.
Across every role, one theme kept appearing: people often feel lost inside systems that were meant to help them.
Ethos grew from the belief that technology can do better.
The goal isn't replacing human understanding. The goal is creating tools that help people feel seen.
Some of the best ideas begin with curiosity, compassion, and asking better questions.
— Lisa Ronquillo
A quiet panel that surfaces recurring themes from symptom journals — never diagnostic, always exploratory.
Fatigue appears more often after poor sleep.
Brain fog may correlate with missed meals.
Energy improved during higher protein intake.
Observations are exploratory and not medical advice. Always consult a qualified healthcare provider.
Encouraging observations that celebrate consistency and growth — warm, human, and quietly hopeful.
You logged symptoms consistently for 10 days.
Energy improved compared with last week.
Small patterns become clearer over time.
Supporting startups building the future of AI — with a focus on ethics, accessibility, and human well-being.
Collaborations, research conversations, or simply hellos — always welcome.