Deep research

Turn a complex question into a sourced, reusable business answer.

Scope the decision, collect current evidence, combine relevant workspace knowledge, coordinate specialists, and return the result in the format the team needs.

No code · review gates · work organized by business

druidx — deep-research

druidx run deep-research. loading business context. multi-step-investigation, break a broad research outcome into evidence collection, comparison, analysis, and synthesis. web-search-and-browsing, collect current public evidence when the question requires it. knowledge-and-rag, ground eligible projects in the workspace's controlled document set. specialist-agents, divide collection, analysis, review, and presentation across appropriate roles. structured-findings, keep observations and source context visible throughout the project. 5 steps complete · output saved to Library.

review gates on, outputs keptSee plans

Keep the source trail and the finished deliverable connected to the research project.

Complex questions require more than a single search summary. DruidX supports multi-step research with project status, clarification questions, findings, approvals, and outputs that remain available after the run.

Everything the run needs, built in.

6 capabilities

Multi-step investigation

Break a broad research outcome into evidence collection, comparison, analysis, and synthesis.

Web search and browsing

Collect current public evidence when the question requires it.

Knowledge and RAG

Ground eligible projects in the workspace's controlled document set.

Specialist agents

Divide collection, analysis, review, and presentation across appropriate roles.

Structured findings

Keep observations and source context visible throughout the project.

Multiple deliverable formats

Return research as a report, document, presentation, spreadsheet, chart, or related artifact.

From business context to finished work.

The objective, the execution, and the outputs stay connected, so nothing gets rebuilt in the next tool.

1

Set the working context

Choose the business, project goal, relevant knowledge, and the people responsible for reviewing the result.

2

Configure the capability

Select the appropriate agents, models, tools, connectors, and boundaries for the work.

3

Run, review, and retain

Inspect progress and outputs, answer questions or approvals, and keep the useful result in the workspace.

What you walk away with.

Useful outputs your team can open, share, and build on — not another stream of chat.

  • A bounded research objective.
  • Current public sources and internal knowledge used deliberately.
  • Findings preserved with their context.
  • Human questions surfaced when the scope requires judgment.
  • A business-ready deliverable stored in the Library.

Where teams point it first.

Focused project work

Apply the capability to a concrete business outcome with visible context and a defined deliverable.

Reusable team workflow

Configure the approach once, then bring it into future projects without rebuilding every instruction.

Governed automation

Use the capability inside a larger workflow with explicit logic, timing, and human review where required.

Your next move

Give your next business goal a place to get done.

Set up a workspace, add the context that matters, and let your AI team turn the goal into reviewed, reusable work.

Start free