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How it works

From fragmented research to one connected project context.

OVAITY helps research teams organize active projects, connect the work behind them, preserve scientific provenance, and convert fragmented research information into AI-ready scientific intelligence.

Abstract illustration representing a connected life science research project workflow
1

Structure the project

Create the project, studies, milestones, collaborators, ownership, and access boundaries.

2

Connect the work

Bring together experiments, files, datasets, analyses, notebook entries, tasks, discussions, and AI interactions.

3

Capture decisions

Record what was decided, why it was decided, who was involved, and which evidence supported it.

4

Work with context-aware AI

Ask questions across the project and receive responses grounded in its connected data, documents, analyses, decisions, and scientific memory.

5

Understand what happened and what comes next

Review the project's progress, unresolved questions, relevant outputs, decisions, ownership, and next steps.

Real-world use

How teams use OVAITY to create AI-ready research context

Onboarding a new team member

A researcher joins an active project mid-stream. Instead of piecing together context from scattered files and messages, they open one connected workspace to see experiments, decisions, ownership, and next steps.

Faster orientation with traceable project context.

PIs retain continuity across team turnover

A Principal Investigator reviews prior experiments, decision rationale, and analysis history even after team members rotate out — because the project story remains connected in OVAITY.

Project understanding remains accessible and decision-ready.

AI-supported project review

Researchers ask context-aware questions about an active project. Every answer points back to datasets, notes, analyses, and recorded decisions in the workspace.

Clearer project understanding with traceable scientific grounding.

Ready to bring your research into one connected workspace?

Start with one active project and give your team a shared, traceable, AI-ready understanding of the work behind it.