Iris.ai vs SciSpace (2026)

Iris.ai

by Iris.ai

SciSpace

by SciSpace

Pros

• ✓Covers the path from raw documents to governed knowledge for AI agents, with Axion for data preparation, Neuralith for knowledge graphs and RSpace for research.
• ✓Named customers span manufacturing, agriculture, publishing, research and government, including Mercedes-Benz, ArcelorMittal, Syngenta, USDA and the Max Planck Society.
• ✓Deploys through an API, on-premise or in the cloud, and states ISO 27001 certification and that client data is never used to train general models.

Limitations

• –Axion and Neuralith are sold through a demo request. Only the RSpace Individual Membership has a published price, at EUR 292 per month or EUR 3,500 per year.
• –No public API documentation or MCP server is published, and Axion and Neuralith deployments are scoped with Iris.ai's team rather than set up self-serve.
• –RSpace's cloud import accepts English-language documents only, up to 10,000 documents and 5 GB, and its trial moves to a paid period automatically after 10 days.

Pros

• ✓Several specialized agents, including the SciSpace Agent, Biomedical Agent, Deep Review and PRISMA systematic research, cover distinct research workflows in one workspace alongside Chat with PDF, data extraction and citation tools.
• ✓Independent review coverage spans Capterra, Trustpilot and Product Hunt rather than resting on a single corpus, so procurement teams can sample user experience across several sources and weigh their consistency, which offsets the thin G2 presence that enterprise checklists often key on.
• ✓A free tier and Premium at $12 per month billed annually make the platform accessible to students and individual researchers, and Advanced and Max add unlimited monthly usage for heavy research.

Limitations

• –Premium includes 1,200 monthly credits that active researchers can exhaust mid-month, and the next plan, Advanced, costs $70 per month billed annually.
• –No MCP server, and the API is in public beta behind an application form with no Zapier app yet, so teams embedding research in their own tools wait for approval and build Zapier flows on raw webhooks.
• –G2 presence is minimal (2 reviews at 3.8) despite strong Capterra and Trustpilot signals, which may create friction in enterprise procurement workflows that specifically require G2 validation as part of vendor evaluation criteria.