Iris.ai Review, Pricing & Alternatives (2026)

Iris.ai is a Norwegian company whose team formed at Singularity University in 2015. Victor Botev is CEO and CTO, while Anita Schjøll Abildgaard is CSO, and both are co-founders. The company announced a €7.64 million Series A in 2024, led by Silverline Capital with matching EIC Fund participation, bringing reported total funding to €16 million. Its current customers include manufacturing, life sciences, energy, telecom, R&D, intellectual property, regulatory, and innovation teams. The company has moved beyond its earlier consumer-facing science assistant. Its current product set includes RSpace for research review, RAG-as-a-Service and API capabilities for enterprise retrieval, and Neuralith for agentic knowledge infrastructure. The company presents these products as infrastructure for specialist organizational workflows.

RSpace is the research-facing workspace from Iris.ai, aimed at literature review, R&D, intellectual property, regulatory, and innovation teams. A typical workflow starts with imported or connected document collections, followed by indexing, retrieval, filtering, mapping, extraction, summarization, and dataset chat. The May 2025 Analyze release described topic modeling, automated concept extraction, keyword and topic generation, and document classification across about 150 million documents. RSpace 1.3, released in December 2025, added monitoring, OpenAlex access, full-text chat, automatic dataset synchronization, versioning, JSONL and DOC support, project document counts, and an unsupported-file view. The company also advertises cloud or on-premises deployment for related RAG services and visibility into connected enterprise knowledge workflows.

Iris.ai describes a Multi-RAG approach that selects among vector search, knowledge graphs, semantic search, metadata retrieval, and keyword search. Specialized agents handle strategy selection, result evaluation, prompt optimization, and user communication. The company says it evaluates language models across more than 20 metrics and supports customer models alongside in-house, modified, and fine-tuned open-source models. RSpace 1.3, released in December 2025, added monitoring, OpenAlex access, full-text chat, automatic dataset synchronization, versioning, a redesigned interface, JSONL and DOC support, and unsupported-file views. Iris.ai also advertises cloud and on-premises deployment for its RAG service. Its privacy policy places data in AWS regions in Ireland and Germany, while Neuralith provides agentic infrastructure for knowledge workflows.

Pricing depends on which Iris.ai product you choose. The current RSpace Individual Membership is listed at €292 per month or €3,500 per year, with a 10-day trial and automatic billing after the trial. The directory-listed description gives cloud import limits of 10,000 documents and 5 GB, with English-language documents. Enterprise Edition, RAG-as-a-Service and API capabilities, and Neuralith use quotations. Current enterprise deployments can run in the cloud or on premises, and customers can connect their own models or use Iris.ai models. A separate legacy subscription page lists Basic as free and Premium at €75 monthly, €202.5 quarterly, or €720 annually, but those prices cover retiring Explore and Focus tools. Treat those figures as legacy consumer pricing, not current enterprise tiers or a complete catalog.

Iris.ai is better suited to specialist teams than casual paper discovery. Its enterprise scope and on-premises option distinguish it from Keenious, which emphasizes scholarly search, editable maps, add-ins, and a lower-priced free tier. Elicit focuses on research questions and evidence synthesis, while Consensus centers on finding answers from academic papers. Compared with these tools, Iris.ai offers more explicit dataset controls, monitoring, versioning, structured extraction, and enterprise deployment, while requiring a larger commercial commitment. Iris.ai stores data in AWS regions in Ireland and Germany, and its terms assign generated training datasets to Iris.ai even though users retain uploaded and created content. Pick Iris.ai for managed research and knowledge workflows that need deployment control, structured data, or enterprise integration.