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Making Healthcare and Medical Knowledge Clearer—and More Useful—for Everyone.
Meditics AI is a research and product company building Hybrid AI for healthcare and medical information: concise, cited LLM answers paired with proprietary human‑anatomy images. Our goal is simple: help people understand health topics faster and make better decisions, together with clinicians.
Powerful Models, Persistent Gaps
AI capabilities are advancing quickly, yet important gaps remain in healthcare. The public often lacks clear, sourced explanations. And current systems can be hard to tailor to a person’s context and values.
Meditics AI exists to bridge these gaps—making systems understandable, customizable, and generally useful for patients, clinicians, and educators.
What we build
- Cited text answers grounded in public medical datasets
- Aligned anatomy visuals from our proprietary image library
- Simple interfaces that encourage human‑AI collaboration
Hybrid AI: Text + Anatomy, Side-by-Side
1) Text reasoning
We orchestrate frontier LLMs with trusted, public healthcare sources to produce readable explanations that include references when available.
2) Anatomy visuals (Future Versions/Updates)
In parallel, we retrieve anatomy images owned by Meditics AI—scraped, de‑duplicated, labeled, and annotated by our researchers—to match the topic of the answer.
What Guides Our Work
Health science is better shared
We plan to publish technical notes, datasets, and code where possible. Sharing improves public understanding and our own rigor.
AI that works with people
We emphasize human‑AI collaboration over full autonomy—tools that clinicians and educators can adapt to their context.
Solid foundations
Quality infrastructure and model competence matter. We invest in reliability, security, and measurement that reflects real‑world value.
Advanced multimodality
Text + images (and voice soon) capture intent more naturally and help people reason across modalities.
Safety through practice
We combine proactive research with careful real‑world testing, red‑teaming, and post‑deployment monitoring.
Measure what matters
We care about comprehension, clinician trust, and decision impact—not only benchmark scores.
Simple Stack, Serious Results
Flutter • Dart
One codebase for mobile and web, fast iteration, consistent UX.
Node.js • PostgreSQL • GCP
APIs for retrieval and citations over anatomy metadata and public sources.
Model Orchestration
Frontier LLMs blended with public healthcare datasets and proprietary images.
Help Us Build Hybrid AI for Healthcare
We’re engineers, scientists, and designers who believe useful AI should be understandable and widely accessible. If that resonates, we’d love to connect.
See Hybrid AI in Action
Interested in a pilot with your clinic, school, or health system? Let’s talk.
Compliance & Safety
- Cited text answers where sources are available
- Proprietary anatomy images labeled & annotated in‑house
- No PHI required for general queries