An expert AI harness that controls what a model reads and measures how it answers
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026
This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, Iris.ai (iris.ai) is an AI platform indexed under AI Knowledge Management generating 22.01K monthly visits with a month-over-month traffic delta of -8.52K (-27.9%). Its primary geographic market is India (19.7% traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include Harvey (1.83M visits/mo), Glean (3.3M visits/mo), Allganize (38.87K visits/mo).
Grounded LLMs on our own R&D papers. Zero hallucination tolerance and it delivers.
Enterprise sales model means you can't just swipe a card and test it.
Absolute game changer for patent research!
Steep learning curve for non-technical researchers.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
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.
Builds searchable knowledge layers over internal repositories for research and engineering teams.
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.
Let teams query internal reports and patents while restricting model access to vetted sources.
Use traced answers so findings can be reviewed and defended in a regulated environment.
Convert scattered documents into structured intelligence that downstream models can consume safely.
Build a knowledge engine over internal repositories so experts can find answers without manual searching.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | Iris.ai | 22.01K | -27.9% | 40% direct | Contact for Pricing | Current |
| 1 | Harvey | 1.83M | +26.1% | 70% direct | Contact for Pricing | vs Harvey |
| 2 | Glean | 3.3M | +0.1% | 80% direct | Contact for Pricing | vs Glean |
| 3 | Allganize | 38.87K | +49.7% | 53% direct | Contact for Pricing | vs Allganize |
| 4 | Squirro | 12.75K | +12.1% | 40% direct | Contact for Pricing | vs Squirro |
| 5 | LlamaIndex | 387.91K | +19.9% | 31% direct | Freemium, Contact for Pricing | vs LlamaIndex |
| 6 | Elicit | 1.75M | +3.1% | 49% direct | Freemium | vs Elicit |
Domain-specific AI for law firms, in-house legal teams, and professional services
Domain-specific AI for law firms, in-house legal teams, and professional services
Enterprise AI grounded in your company's own knowledge
Enterprise AI coworker and no-code agent platform with zero-hallucination document grounding
Enterprise AI coworker and no-code agent platform with zero-hallucination document grounding
The enterprise GenAI platform that's proven
The enterprise GenAI platform that's proven
Free / Open-sourceTurn any document into AI-ready context with agentic parsing and extraction
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Free / Open-sourceAI research assistant for evidence-based literature review and synthesis
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Free / Open-sourceAI academic search engine for peer-reviewed science
Free / Open-sourceMoonshot AI's long-context assistant for research, coding, and agentic work
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Superintelligence for work: an enterprise AI platform plus an AI-native learning system
SpecialistGraph context layer that turns unstructured enterprise knowledge into traceable AI answers
SpecialistGraph context layer that turns unstructured enterprise knowledge into traceable AI answers
Enterprise document AI: IDP, AI-OCR and RAG built for complex corporate documents
Enterprise document AI: IDP, AI-OCR and RAG built for complex corporate documents
