
Free / Open-sourceThe AI workspace where teams and agents get work done together
ContextClue records 1,643 monthly visits with +58.9% month-over-month growth and Contact for Pricing pricing. Iris.ai records 22,006 monthly visits with -27.9% growth and Contact for Pricing pricing.

Turn dense documents into clear, citable answers
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | context-clue.com | iris.ai |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 1.64K (1,643) | 22.01K (22,006) |
| MoM Traffic Delta | +609 (+58.9%) | -8.52K (-27.9%) |
| Primary Market & Share | 🇮🇳 India (68.5%) | 🇮🇳 India (19.7%) |
| Direct Visits / mo | 646 | 8.76K |
| User Rating | 4.1 | 4.3 |
| Supported Platforms | Website | Website |

Turn dense documents into clear, citable answers
Ask questions in plain language across a connected document set and get direct answers instead of a raw list of links.
Answers are grounded in retrieved passages from your own documents, and references point back to the original text for verification.
Condense long reports, research papers, or contract bundles into short, readable digests that keep the essential points.
Turn findings from multiple sources into structured, shareable reports and generated documents.
An expert AI harness that controls what a model reads and measures how it answers
Defines which documents and internal sources a language model may read, restricting answers to approved material.
Measures and records how an answer was assembled so outputs can be audited and reproduced.
Applies a decade of NLP work on technical literature and patents to interpret dense scientific language.
Turns unstructured documents and enterprise data into structured, AI-ready intelligence.

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