Causaly vs Edison Scientific (2026): which should you pick?

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 Edison Scientific if

• Fits if you're a biology or drug-discovery team with large experimental datasets to analyze
• Works for organizations that want research agents running in their own environment, on-premises

Look elsewhere if

• Pricey if you're one researcher paying your own way, since a Kosmos run was 200 credits at $1 each at launch
• Skip it if you need a price up front, as none is published and plans show only after sign-up or a sales demo
• Not for you if you only want a few papers found and summarized, since this is aimed at biopharma R&D
• Watch out: Edison's own launch post put Kosmos's conclusions at 79.4% accurate, so check each one
• Tight if you're an academic on the free tier, whose limits couldn't be read

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.

Edison Scientific

• Prices are not published on the public site; plans appear inside the platform after sign-up.
• At its November 2025 launch a Kosmos run cost 200 credits at $1 a credit, and the company said that rate would probably rise.
• In the same launch post, Edison reported that 79.4% of Kosmos's conclusions were accurate.
• The public site is aimed at biopharma R&D, with demos booked through sales.

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.

Edison Scientific

Kosmos

An autonomous AI scientist: given an objective and datasets, it reads literature, runs analysis code and writes a cited report. The docs say one run reads about 1,500 papers and executes about 42,000 lines of code.

Literature

Search and synthesis across more than 175 million papers, trials and patents, returning cited answers or a deep review of conflicting evidence.

Analysis

Processes experimental data such as flow cytometry and RNA-seq results into statistical analyses and publication-ready figures.

Precedent

Searches across fields to judge whether a research idea has been tried before, pointing out prior work and open gaps.

Molecules

A chemistry agent that predicts ADMET properties, plans retrosynthesis routes, runs safety assessments and searches databases such as ChEMBL.

API client and enterprise deployment

A Python client runs agent tasks programmatically with an API key. For enterprises, the company offers on-premises deployment and scientists embedded with the customer's team.

Causaly

Pricing could not be confirmed. See causaly.com.

Edison Scientific

Pricing could not be confirmed. See edisonscientific.com.