The AI scientific workspace where research information becomes intelligence.
OVAITY is an AI-native Scientific Intelligence Platform that gives life science R&D teams a secure research workspace, scientific memory layer, and context-aware AI environment.OVAITY brings project context, research outputs, collaboration, context-aware AI, and governance into one traceable environment for Life Science R&D.
Platform layers
The connected project workspace comes first. The broader scientific memory layer follows — preserving context, enabling secure collaboration, and helping teams understand active research with AI-ready provenance.
Connected Project Workspace
Projects, studies, experiments, files, datasets, tasks, collaborators, milestones, AI interactions, and decisions in one structured research workspace.
Scientific Context and Provenance
Connect outputs to their source data, methods, versions, decisions, rationale, ownership, and scientific memory.
Context-Aware AI
Allow researchers to ask questions and receive answers grounded in actual project context, with links back to supporting evidence.
Secure Collaboration and Governance
Role-based access, permissions, review history, auditability, and controlled collaboration for sensitive research environments.
Analysis Studio
Keep analysis workflows and generated outputs linked to the project, datasets, methods, interpretations, and decisions.
Scientific Memory
Preserve project knowledge so teams can understand prior work, avoid duplication, and convert fragmented research information into reusable intelligence.
Platform capabilities
Concrete capabilities that keep active research projects structured, connected, traceable, and understandable — from project setup through analysis, collaboration, and context-aware AI.
Connected Project Workspace
Structure active research projects with studies, collaborators, tasks, and milestones.
- Organize projects, studies, experiments, files, and tasks in one structured environment.
- Coordinate collaborators, ownership, milestones, and next steps across the team.
- Keep discussions and project activity linked to the scientific work they relate to.
- Give the team one shared view of an active research project.
Scientific Context and Provenance
Keep datasets, outputs, and decisions linked to their source and history.
- Store datasets, files, and outputs in one structured repository instead of scattered drives.
- Keep metadata, versions, and provenance attached to each dataset and analysis.
- Link outputs directly to experiments, methods, and decision rationale.
- Make project context searchable and reusable across collaborators.
Context-Aware AI
Ask questions grounded in the connected context of an active research project.
- Understands project context across datasets, experiments, files, analyses, and prior decisions.
- Receive answers with links back to supporting evidence in the workspace.
- Search across experiments, notes, analyses, and decisions in one query layer.
- Assist interpretation in context — not on disconnected exported files.
Secure Collaboration and Governance
Share research confidently with clear permissions and accountability.
- Assign roles per workspace, project, or dataset to control who can view, edit, or approve.
- Protect sensitive research while enabling collaboration across teams.
- Support transparent review with clear ownership, access boundaries, and audit logs.
- Designed for governed access in sensitive research environments.
Analysis Studio
Run analysis workflows while keeping outputs linked to the project.
- Analyze research data in context within the connected project workspace.
- Keep analysis outputs linked to source datasets, methods, and interpretations.
- Preserve traceable analysis history as the project evolves.
- Explore results collaboratively without losing scientific context.
Scientific Memory
Preserve project knowledge so teams can build on what was already learned.
- Capture experiments, analyses, observations, publications, and decision rationale over time.
- Document interpretations and reasoning as the project evolves.
- Preserve knowledge so context remains when researchers leave projects or teams.
- Build a durable layer of scientific memory across connected research programs.
From active projects to connected scientific intelligence
Connected project workspaces across teams
Traceable analysis and project history
Governed collaboration with audit logs
Scientific memory builds over time as connected projects create a reusable, AI-ready layer of context across research programs.
Apply for the OVAITY BetaReady to connect your research in one traceable workspace?
See how OVAITY connects project workspaces, scientific context, context-aware AI, secure collaboration, analysis, and scientific memory in one research intelligence platform.