Introduction
ARiDA is an async research workspace for biopharma teams. The main agent plans the work, background specialists execute in parallel, and the workspace keeps files, archives, and outputs durable across long-running projects.
What makes it different
True async execution
Specialist lanes continue in the background while you keep working in the same chat.
Persistent workspace
Hot files stay editable, cold files move to archive, and important outputs can be rehydrated or reused across longer projects.
Enterprise operating model
The platform is designed for governed research workflows, durable artifacts, and privacy-aware inference routing.
Adaptive teams and memory
ARiDA ships with core specialists, can create dynamic subagents, and can retain user-specific rules and context across sessions.
How it works
- 1
You define the objective
Ask for an answer, a deliverable, a file, a landscape, or a project brief. Ground it with files or constraints when relevant.
- 2
The main agent plans the graph
ARiDA breaks the work into a task graph, decides which lanes can run immediately, and assigns them to the right specialists.
- 3
Background specialists execute in waves
Discovery, verification, and synthesis lanes run independently, report progress, and unblock later waves automatically.
- 4
Results land in your workspace
Outputs appear as files, archived artifacts, summaries, and final answers that can be reused in later turns.
Common use cases
Business development
- Prospect research and meeting prep
- Competitive landscape briefs
- Asset screening and prioritization
- Deal and valuation support
Scientific and clinical work
- Literature synthesis with durable citations
- Target and indication deep dives
- Trial landscape and endpoint analysis
- Regulatory pathway framing