One connected workspace for research signals
Bring interviews, transcripts, docs, survey files, support exports, and operational context into one source of truth.
AddMaple won the Paddle AI Launchpad competition out of 77 startups!
AddMaple V3 is here! Learn more
New capability: Research Repository
A single home for research assets, evidence-backed answers, and analysis-ready workflows.
Replace scattered docs and handoff friction with one connected repository. Teams can find source evidence quickly, interrogate it with confidence, and move straight into decision-ready analysis.
Why teams adopt it
Evidence-first search and retrieval
Combine semantic discovery, exact phrase matching, and source-level traceability so teams can move fast without losing confidence.
Answers grounded in source context
AI responses include citations and supporting snippets, so every claim is reviewable and every conclusion is easier to defend.
Direct path to analysis workflows
Move from repository discovery into AddMaple analysis flows to test drivers, compare groups, and answer follow-up questions immediately.
How it works
- 1Upload single files or full research batches in one pass.
- 2Track processing stages per asset: extraction, conversion, embedding, and indexing.
- 3Search across all assets and open exact source context instantly.
- 4Ask the research agent questions with scoped or global context.
- 5Switch into analysis workflows for cuts, comparisons, and evidence checks.
- 6Save insights and keep research history in one shared workspace.
Included now
Text + semantic + exact search modes
Cited answers with deep-link source open
Processing timeline and stage-level retries
Asset detail views with practical previews
Metadata controls for tags, projects, and groups
Scoped chat for targeted questioning
Dataset linking to analysis workflows
Agent-driven exploration from repository context
Team-scoped search and access controls
Secure SSO-ready collaboration
Business value for research leaders
- Faster synthesis cycles with fewer evidence-quality debates.
- Less time spent hunting across drives, folders, and disconnected tools.
- No handoff gap between repository discovery and analysis execution.
- A durable foundation for recurring trackers and cross-team decision support.