Causaly vs Iris.ai (2026): which should you pick?
As of Nov 12, 2026, Causaly and Iris.ai share a 1.6 GPA, neither has a free plan and their prices can't be set side by side, so the choice depends on which features you need.
Checked Nov 12, 2026 · graded Nov 12, 2026 by ToolGPA
They get the same grade on all five counts.
Price, platforms and features side by side. The table says where each price was read and when.
Which one is for you
Pick Causaly if
- Fits if you're on a pharma or biotech R&D team looking for evidence behind a claim
- Makes sense if your company buys scientific tooling through sales
Look elsewhere if
- Not for you if you want a price before a call, since none is published
- Skip it if you're a student or an academic on your own, as it's aimed at life sciences companies
- Watch out: the 93% accuracy figure on biomedical claims is the vendor's own number
- Watch out: no integrations or apps are listed, only a web platform
Pick Iris.ai if
- Fits if your company needs data pulled out of large piles of technical documents
- Makes sense if you're an R&D team happy to buy through a demo
Look elsewhere if
- Not for you if you want a price, as none is published and pricing couldn't be verified
- Skip it if you're an individual researcher, since the products are for enterprises
- Watch out: no free tier or trial is listed
- Watch out: no apps or integrations are listed
How we grade them
| 1.6GPACausalyWeak | 1.6GPAIris.aiWeak | |
|---|---|---|
| Value for money | CNo price is published and the site pushes visitors to a demo, so there is nothing to compare with the category's $10 middle. It sits at C. | CNo price is published and every product is sold through a demo request. There is nothing to compare against the category's $10 middle, so it sits at C. |
| Free plan and trial | FNothing free on record: no free plan and no trial. | FNothing free on record: no free plan and no trial. |
| Features | CAn agentic research tool, a biomedical knowledge graph and workflows with linked evidence. The listing is thin on what it covers beyond life sciences, so the gaps are unknown. | CData extraction, industry templates, an enterprise knowledge engine and R&D search. The listing doesn't show a gap, but it also doesn't show what a single researcher would get. |
| Ease of use | CNo store rating on record. A demo-led enterprise product means setup before use. | CNo store rating on record. Deploying on your own data means setup work. |
| Platforms and integrations | CWeb only, with no integrations or apps on the listing. | CWeb only, with no integrations or apps on the listing. |
| Best for | evidence searches for life sciences R&D teams | enterprise teams turning documents into AI-ready data |
The GPA is the average of the five grades: an A is 4 points, an F is none. The full reasons are on each tool's page: Causaly and Iris.ai. How we grade
Where they differ
- Causaly also covers AI search.
- Iris.ai also covers documents.
In commonWebAI featuresAI agentsResearch
At a glance
| Causaly | Iris.ai | |
|---|---|---|
| Pricing | Paid | Paid |
| Starts at | Not published | Not published |
| Free plan | None | None |
| Free trial | None listed | None listed |
| Web | ||
| Made by | Causaly | Iris.ai AS |
| Price read from | Not confirmed | Not confirmed |
| Checked | Nov 12, 2026 | Nov 12, 2026 |
Worth knowing
Causaly
- No prices are published; pricing is unverified, and the site pushes visitors to request a demo.
- It is aimed at life sciences companies rather than individual students or academics.
- Accuracy figures on the site, such as 93% on biomedical claims, are the vendor's own claims.
Iris.ai
- No prices are published; every product is sold through a demo request.
- Pricing could not be verified, so no plan or price is listed.
- Aimed at enterprises, not individual researchers.
Key features
Causaly
- Agentic Research
- A conversational interface, a biomedical data fabric and autonomous research agents in one platform.
- Biomedical knowledge graph
- The site describes a high-precision knowledge graph, offered as Bio Graph, and a Pipeline Graph for competitive intelligence.
- Scientific workflows
- Workflows meant to turn repeatable scientific tasks into scalable runs.
- Use cases for R&D
- Pages cover target identification, biomarker discovery, disease pathophysiology, indication expansion and clinical development.
- Linked evidence
- The site says each claim is linked to evidence and that logic and limitations are shown.
Iris.ai
- Axion data extraction
- Turns PDFs, reports, images, graphs and tables into structured, machine-readable data.
- Industry schema templates
- Prebuilt structures for legal contracts, patents, clinical trials and financial statements.
- Neuralith
- Described as turning enterprise knowledge into an AI engine, with agentic workflows.
- RSpace
- Described as precision intelligence for complex R&D.
- Deployment on your own data
- The vendor says teams run Iris.ai on their own documents and systems.
Plans
Causaly
Pricing could not be confirmed. See causaly.com.
Iris.ai
Pricing could not be confirmed. See iris.ai.
Common questions
Which is cheaper, Causaly or Iris.ai?
As of Nov 12, 2026, Causaly has no price we could confirm, and Iris.ai has no price we could confirm.
Which has a free plan, Causaly or Iris.ai?
As of Nov 12, 2026, neither Causaly nor Iris.ai has a free plan.
More comparisons
How this page was made
- The verdict at the top follows a fixed rule. When both tools are in the same category and either is in our top three for it, the verdict follows that ranking: the higher-placed tool is our pick. The top three weigh who each tool suits as well as its grades, so a pick can go against the GPA. Otherwise the page does not pick one and says which grades higher: the higher GPA first; on a tie, the one with a free plan, then the one that starts cheaper in dollars a month, counted the same way for both; if they are still level, what the choice depends on.
- The grades are our own, from each tool’s review or report card. The GPA is their average.
- Prices, plans and platforms come from each tool’s listing. The table above says where each price was read and when.
- The differences and the answers to the questions are worked out from those listings.