From dataset to Ovaitions — in 5 collaborative steps
A simple workflow that takes your lab from raw data to trusted, publishable research outputs.
Create a workspace
Set up a virtual lab for your project, paper, or research line. Invite collaborators and assign roles.
Upload & explore data
Bring multi-omics datasets into your workspace. Tag, organize, and explore together with your team.
Analyze & ask questions
Run interactive analyses. Ask the AI assistant questions grounded in your data, references, and notes.
Create Ovaitions
Draft interactive, AI-native research outputs. Embed figures, keep context intact, and maintain provenance.
Share & iterate
Publish, invite reviewers, capture ratings, and roll improvements back into the workspace.
How teams use OVAITY to accelerate research
Cross-lab validation in days, not weeks
A research team exploring RNA-seq and ATAC-seq together uses shared workspaces to validate findings. Reviewers provide inline feedback, and the team iterates—all without switching tools or losing context.
Validation cycles reduced from weeks to days.
PI reviews results collaboratively with their lab
A Principal Investigator reviews results with their lab in real-time. AI answers questions about specific datasets, and all feedback is traceable and transparent.
Faster decision-making with full team visibility.
Publishing interactive Ovaitions instead of static PDFs
A lab publishes an interactive Ovaition that reviewers can explore—clicking through data, seeing provenance, and understanding context. No more buried supplementary materials.
Publications that reviewers actually use and trust.