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xAIPharmaceutical industry

Grok for pharmaceutical industry

The model from xAI, integrated into X, distinguished by real-time access to live X posts and web data.

Not specifically recommended

Grok is not on our list for the pharmaceutical industry. Usable for general work, but first look at the options we recommend for the pharmaceutical industry.

GDPR profileOur summary of what the provider itself publishes about your data: EU hosting possible, no training on your data for business use, and self-hosting available. Caution applies to a model with a documented problem, such as an investigation by a regulator. How we measure
GDPR: Caution
QualityQuality from blind duels on LMArena: users choose between two anonymous answers. A difference of about 20 points is noticeable, a few points is noise. How we measure
1471Elo, independent
Editorial scoreOur own assessment on 10 of suitability for professional work, price and privacy. This is a judgement, not a measurement; that is why it always sits alongside the Elo. How we measure
7,8
Entry price
$10 / month
Full GDPR check

What Grok does in the pharmaceutical industry

Core tasks in the pharmaceutical industry
  • Finding and optimising targets, proteins and candidate molecules with AI models
  • Setting up clinical studies: recruiting patients, recording source data and monitoring data quality
  • Drafting regulatory documents (protocols, CSRs, dossiers) with traceable sources
  • Processing adverse event reports, coding them and detecting safety signals
Where Grok excels
  • Real-time X/Twitter and web data
  • DeepSearch research agent
  • Strong in coding and factual accuracy
  • Large context window, low API price

Grok has a concrete GDPR concern. No EU hosting, and training is switched on by default (opt-out). Less suitable for confidential or regulated data. Weigh this heavily before using it in the pharmaceutical industry.

Confidentiality and GDPR

GDPR: Caution

This sector involves health data of trial participants and patients (special category personal data under Article 9 GDPR) and confidential research data. Ask every provider where the data is stored and whether it is used to train models: Castor hosts in the Netherlands (Google Cloud europe-west4) and does not share data or models between customers, Cradle states that source data never goes to third-party AI models, Iris.ai hosts on AWS in Ireland and Germany. Biolevate and Ennov also run in private cloud or on-premises. With Veeva Vault AI and Yseop, texts go to Anthropic models via Amazon Bedrock; check the region and the data processing agreement. If you work in GxP processes, an AI tool must also be validated (EU GMP Annex 11) and a competent employee remains responsible. For AI in medicines development, the EMA has a reflection paper (2024) and is working with the FDA on joint principles.

No EU data residency; data goes to the US under the EU-US Data Privacy Framework. X/Grok uses public posts and conversations for training by default, with opt-out. Subject of GDPR investigation by the Irish DPC.

Rule of thumb Use the business variant with a data processing agreement, and keep a human in the loop for decisions that matter.
Caution no EU hosting, and training is on by default (opt-out). Less suitable for confidential or regulated data.

Prices

SuperGrok Lite$10 / monthEntry-level subscription
Free$0Limited use
SuperGrok~$30 / monthGenerous usage
API$2.00 / 1M in$6.00 / 1M out (Grok 4.7, <200K tokens)

Other models for the pharmaceutical industry

Claude for the pharmaceutical industryAnthropic · editorial 9.01506Gemini for the pharmaceutical industryGoogle · editorial 8.61526ChatGPT for the pharmaceutical industryOpenAI · edition 8.91485Copilot for the pharmaceutical industryMicrosoft · editorial 8.31485
All options for the pharmaceutical industry
Professional tools on Grok

We do not know of a professional tool for the pharmaceutical industry that runs publicly on Grok.

Questions about Grok for the pharmaceutical industry

Is Grok suitable for the pharmaceutical industry?
Not specifically. Grok is not on our list for the pharmaceutical industry; it is broadly usable, but first look at the options we recommend for the pharmaceutical industry. Keep a professional in the loop for every use.
May I put confidential data into Grok?
In this sector, the data concerns health data of trial participants and patients (special category personal data under Art. 9 GDPR) and confidential research data. Ask every provider where the data is stored and whether it is used to train models: Castor hosts in the Netherlands (Google Cloud europe-west4) and does not share data or models between customers, Cradle states that source data never reaches third-party AI models, Iris.ai hosts with AWS in Ireland and Germany. Biolevate and Ennov also run in private cloud or on-premises. With Veeva Vault AI and Yseop, texts go to Anthropic models via Amazon Bedrock; check then the region and the data processing agreement. If you work in GxP processes, an AI tool must also be validated (EU GMP Annex 11) and a competent employee remains responsible. For AI in medicines development, the EMA has a reflection paper (2024) and is working with the FDA on joint principles. No EU data residency; data goes to the US under the EU-US Data Privacy Framework. X/Grok uses public posts and conversations for training by default, with opt-out. Subject of GDPR investigation by the Irish DPC.
How much does Grok cost?
There's SuperGrok Lite ($10 / month), Free ($0), SuperGrok (~$30 / month), API ($2.00 / 1M in). Check current prices on the official site.
Next stepAll 25 options for pharmaceutical industryProfessional tools and general assistants side by side, on GDPR profile, price and quality.

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