# Cluing vs Iris.ai Cluing records 11,227 monthly visits with -43.1% month-over-month growth and Freemium pricing. Iris.ai records 22,006 monthly visits with -27.9% growth and Contact for Pricing pricing. | Metric | [Cluing](https://openaitools.app/tool/cluing) | [Iris.ai](https://openaitools.app/tool/iris-ai) | | :--- | :--- | :--- | | Website URL | https://www.cluing.io | https://iris.ai | | Categories | AI Knowledge Management, AI Knowledge Base, AI Research Tool, AI Agent | AI Knowledge Management, AI Research Tool, AI Summarizer, AI Chatbot | | Pricing Model | Freemium | Contact for Pricing | | Monthly Visits | 11,227 | 22,006 | | MoM Growth Rate | -43.1% | -27.9% | | Primary Market | United States | India | | Direct Visits | 4,453 | 8,758 | | Review Score | 3.9 | 4.3 | | Saved Count | 0 | 4 | | Supported Platforms | Website | Website | ## Cluing Cluing is a knowledge platform built for the AI era. Its core idea is that AI is only as useful as the context you give it, so Cluing focuses on capturing the insights you find during everyday work — while browsing the web, reading PDFs, watching videos, scrolling social feeds, or reading newsletters — and storing them in one organized space. A browser extension and mobile capture mean you can save a highlight or note with a keystroke instead of copy-pasting between apps. Once saved, Cluing helps organize that material. It can suggest structure with chat, group related items, and use knowledge triggers to surface connections. The distinguishing feature is how the knowledge is used: Cluing positions itself as model-independent, so you can supply your saved context to any frontier model or custom agent through what it calls an AI Canvas and native MCP support, without switching tabs or losing context. The interface highlights capture from many source types, AI-assisted organization, and a shared space where teams and agents draw on the same knowledge base. A free entry point is emphasized on the marketing site ("get it now it's free"), making it an accessible starting point for personal knowledge management, research, and team collaboration. **Pricing & Plans:** Freemium: a free plan is advertised on the site ("Start for free"), with paid upgrades for teams and heavier use. Confirm current tiers on the pricing page. - **Capture from anywhere:** Save highlights and insights from webpages, PDFs, videos, social posts, newsletters, Kindle, and email using a browser extension or mobile capture. - **AI-assisted organization:** Let AI suggest structure, group related insights, and use knowledge triggers and chat to keep your base tidy and searchable. - **Model-independent context:** Feed your stored knowledge to any frontier model or custom agent via an AI Canvas and native MCP, so your context travels with you. - **Shared team knowledge base:** Build a common context space that both people and AI agents draw on for research, feedback, and collaboration. - **Desktop and mobile working:** Capture and review insights on the go or at your desk, with a Chrome/Opera-friendly extension. **Strengths:** Captures insights from a wide range of sources with minimal friction; Works with any AI model, avoiding lock-in to a single vendor; Free entry point makes it easy to start; Shared space supports both human and agent collaboration **Limitations:** Value depends on building the habit of capturing consistently; As a newer product, integrations and features are still expanding; Advanced team and agent workflows may require a paid plan [Profile (Markdown)](https://openaitools.app/tool/cluing.md) ## Iris.ai Iris.ai addresses a specific problem in enterprise AI: in fields where a wrong answer carries real cost, it is not enough for a language model to be fluent. The platform acts as a harness around the model, defining which documents and data sources it is allowed to read, and recording how each answer was assembled so results can be audited and reproduced rather than trusted on faith. The company has been working on scientific text understanding for around a decade and applies that experience to technical literature, patents, internal reports and structured enterprise systems. The product line is organized around three entry points: Axion for converting unstructured data into AI-ready intelligence, Neuralith for building a knowledge engine over enterprise content, and RSpace for precision intelligence in complex research and development workflows. Iris.ai sells to organizations rather than individuals, so entry is through a demo request and pricing is quoted per engagement. Documentation, help center articles, case studies and webinar resources are published on the site for evaluation before contact. It remains an actively developed commercial platform rather than a downloadable consumer app. **Pricing & Plans:** Contact for pricing. Iris.ai sells to enterprises and R&D organizations through a demo request and tailored quotations rather than published self-serve plans; there is no listed free tier. - **Model grounding and control:** Defines which documents and internal sources a language model may read, restricting answers to approved material. - **Step-by-step answer tracing:** Measures and records how an answer was assembled so outputs can be audited and reproduced. - **Scientific text understanding:** Applies a decade of NLP work on technical literature and patents to interpret dense scientific language. - **Data-to-AI pipelines:** Turns unstructured documents and enterprise data into structured, AI-ready intelligence. - **R&D knowledge engines:** Builds searchable knowledge layers over internal repositories for research and engineering teams. **Strengths:** Purpose-built for high-stakes domains where wrong answers are costly; Controlled model grounding with source restrictions; Traceable, reproducible answers suited to audit and review; Roughly a decade of scientific text understanding experience **Limitations:** No published self-serve pricing or free tier; Onboarding requires a demo request and sales process; Aimed at organizations with substantial document corpora, not individual users [Profile (Markdown)](https://openaitools.app/tool/iris-ai.md) ## Frequently Asked Questions ### How do Cluing and Iris.ai compare in monthly traffic? Cluing has 11,227 monthly visits, while Iris.ai has 22,006. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Cluing has a month-over-month growth rate of -43.1%; Iris.ai has -27.9%. ### How does pricing compare? Cluing: Freemium. Freemium: a free plan is advertised on the site ("Start for free"), with paid upgrades for teams and heavier use. Confirm current tiers on the pricing page. Iris.ai: Contact for Pricing. Contact for pricing. Iris.ai sells to enterprises and R&D organizations through a demo request and tailored quotations rather than published self-serve plans; there is no listed free tier. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) | | 2 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Moonshot AI's long-context assistant for research, coding, and agentic work | [.md](https://openaitools.app/tool/kimi-chat.md) | | 3 | [Consensus](https://openaitools.app/tool/consensus) | 6,014,388 | -1.2% | Freemium | AI academic search engine for peer-reviewed science | [.md](https://openaitools.app/tool/consensus.md) | | 4 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Enterprise AI grounded in your company's own knowledge | [.md](https://openaitools.app/tool/glean.md) | | 5 | [Harvey](https://openaitools.app/tool/harvey-ai) | 1,832,998 | +26.1% | Contact for Pricing | Domain-specific AI for law firms, in-house legal teams, and professional services | [.md](https://openaitools.app/tool/harvey-ai.md) | | 6 | [Elicit](https://openaitools.app/tool/elicit) | 1,751,507 | +3.1% | Freemium | AI research assistant for evidence-based literature review and synthesis | [.md](https://openaitools.app/tool/elicit.md) | | 7 | [ima.copilot](https://openaitools.app/tool/ima-copilot) | 915,949 | -14.8% | Freemium | Tencent's AI knowledge steward for searching, reading, writing, and managing your own knowledge base. | [.md](https://openaitools.app/tool/ima-copilot.md) | | 8 | [Craft](https://openaitools.app/tool/craft-do) | 703,417 | +8.9% | Freemium | A polished space for notes, tasks, and documents that follows you across every device. | [.md](https://openaitools.app/tool/craft-do.md) | | 9 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Turn any document into AI-ready context with agentic parsing and extraction | [.md](https://openaitools.app/tool/llamaindex.md) | | 10 | [iWeaver](https://openaitools.app/tool/iweaver) | 336,462 | +32.9% | Freemium | AI agents that turn your own documents into summaries, mind maps and reports | [.md](https://openaitools.app/tool/iweaver.md) | --- Source: https://openaitools.app/compare/cluing-vs-iris-ai More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)