AI Agent Index

Causaly vs Iris.ai (2026)

Side-by-side comparison of Causaly vs Iris.ai: pricing, capabilities, integrations, deployment complexity, and ratings. Built from The AI Agent Index's verified listing data. Causaly last verified October 11, 2026. Iris.ai last verified October 13, 2026.

Data sourced from The AI Agent Index

Causaly logo

Causaly

by Causaly

Agentic AI research platform for life sciences R&D, grounded in biomedical knowledge graphs. Self-serve plans from $99/mo with a 14-day trial, enterprise via sales.

subscriptionAll sizes
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Iris.ai logo

Iris.ai

by Iris.ai

Enterprise AI platform from Norway that prepares documents and data as knowledge for AI agents, with Axion, Neuralith and RSpace. RSpace individual plan from EUR 292/mo with a trial.

subscriptionEnterprise
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Causaly
Iris.ai
Pricing model
subscription
subscription
Starting price
$99/mo
EUR 292/mo
Pricing transparency
mostly public
partial
Contract type
both
both
Customer segment
All sizes
Enterprise
Deployment
web, api
web, api, cloud, on-premise
Setup difficulty
easy
moderate
Avg setup time
Self-serve: Causaly Research starts on a 14-day trial with no credit card required. Enterprise deployments are sales-led and no implementation timeline is published.
RSpace is self-serve with a 10-day trial, and the vendor's help centre says getting started takes about two hours. Axion and Neuralith are deployed with Iris.ai's team after a demo, and no deployment duration is published.
Editorial rating
3.8 / 5
3.7 / 5
G2 rating
No G2 listing
5/5 (1 reviews)
MCP
Client
No
GitHub stars
N/A
N/A
Data training
Not Disclosed
Not Trained
Human in loop
required
required
Security certs
ISO 27001
GDPR, ISO 27001

Capabilities

Causaly

literature-reviewsystematic-reviewdata-analysiscitationsdeep-research

Iris.ai

literature-reviewsystematic-reviewcitationsdata-analysisdeep-research

Pros & Limitations

Editorial assessment

Causaly

Pros

  • ✓Answers are grounded in Causaly's own biomedical knowledge graphs, with more than 500 million facts in Bio Graph, and every claim links to the highlighted source passage it rests on.
  • ✓Documented outcomes at pharmaceutical scale: ProQR reported 5x productivity over PubMed for target identification, and a top-10 global life sciences company cut proposal time by 75% during a disease area transition.
  • ✓Open beyond enterprise contracts: self-serve plans from $99 per month with a 14-day trial and no credit card, and enterprise access inside Microsoft 365 Copilot and Teams.

Limitations

  • –Built for biomedical and life sciences evidence, so its sources and knowledge graphs add little for research outside that domain.
  • –Self-serve plans are single-user with monthly allowances of 400 or 500 credits, the Team plan is not yet available, and enterprise features such as the Enterprise Data Fabric are priced through sales.
  • –Customer Content is never used for model training, but customer queries and performance data may be used to develop and improve the software, with a no-training commitment on performance data for Team plan customers.

Iris.ai

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.

Frequently asked questions

How does pricing compare between Causaly vs Iris.ai?

Causaly uses a subscription model, starting at $99 per month. Iris.ai uses a subscription model, starting at EUR 292 per month.

View full Causaly profile

Pricing, reviews, integrations →

View full Iris.ai profile

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