Evidence synthesis
Compare source material, extract recurring themes, and record where evidence agrees or conflicts.
Use Case
A medical AI workspace for organizing evidence, investigating questions, and preserving the reasoning around a project.
The opportunity
Medical R&D rarely fails because there is too little information. The harder problem is keeping the question, supporting evidence, conflicting signals, and decisions connected as the work evolves.
Lunas Lab is designed for that continuity. Stethos 1.0 can help a researcher explore uploaded material and organize findings, while the workspace keeps the source context and human review visible. It is support for research reasoning, not an autonomous research authority.
Where Lunas fits
Stethos helps explain, organize, and investigate. People and qualified professionals stay responsible for the decisions that follow.
Compare source material, extract recurring themes, and record where evidence agrees or conflicts.
Explore repeated laboratory measurements and health observations across time.
Turn a broad question into defined assumptions, review points, and a clearer plan for expert validation.
Keep files, notes, investigations, and conclusions attached to the same research context.
A practical workflow
A repeatable path makes the model easier to supervise and the result easier to trust.
Define the research goal, constraints, population, and what would change the conclusion.
Add permitted source material and organize it inside a Lab project or phase.
Use Stethos to identify patterns, gaps, contradictions, and follow-up questions.
Have domain experts review the output, then retain the supporting context and decision trail.
Product path
Lunas.One is available to individuals today. Team & Enterprise workspaces and a governed Stethos API are in active development — the roadmap below is directional, not a promise of present availability, and larger deployments will require the right privacy, security, evaluation, and human-review controls.
Available in Lunas
Team, Enterprise & API direction
Questions
No. Lunas is a workspace and medical AI layer. Curated reference and dataset integrations can strengthen the workflow, but researchers must still verify primary sources and licensing.
No. Research assistance is not clinical validation. Any patient-level use requires the appropriate professional, regulatory, and quality review.
It is intended for researchers, clinicians, laboratories, product teams, and medical innovators who need a structured place to reason across health information.
Try the product
Use Lunas for information and organization, then involve a qualified professional whenever a health decision is needed.