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Moonshot AI
Pharmaceutical industryKimi for pharmaceutical industry
Chinese AI lab (Moonshot AI) with the open-weight Kimi K2 family and an assistant that focuses strongly on agents, deep research and long documents.
Kimi 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
- 1487Elo, 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
- 7,6
- Entry price
- Free
What Kimi does 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
- Flagship K3 (2.8T parameters, 1M context) and open-weight K2.6 are self-hostable
- Multimodal: text, image and video in one architecture
- Strong in agent work and deep research
- Affordable API with substantial cache discounts
Kimi has a concrete GDPR concern. The parent company is based in Beijing and falls under Chinese security legislation; the privacy policy does not explicitly name that jurisdiction. No confidential data in the consumer app; self-hosting the open weights is the safe route. Weigh this heavily before using it in the pharmaceutical industry.
Confidentiality and GDPR
GDPR: CautionThis 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.
The international service is provided by Moonshot AI Pte. Ltd. (Singapore); according to the privacy policy, data is stored on servers in Singapore and content may be used to improve the service. The K2 models are open-weight and can be self-hosted.
Prices
Other models for the pharmaceutical industry
Claude for the pharmaceutical industryAnthropic · editorial 9.01506
Gemini for the pharmaceutical industryGoogle · editorial 8.61526
ChatGPT for the pharmaceutical industryOpenAI · edition 8.91485
Copilot for the pharmaceutical industryMicrosoft · editorial 8.31485We do not know of a professional tool for the pharmaceutical industry that runs publicly on Kimi.
Questions about Kimi for the pharmaceutical industry
- Is Kimi suitable for the pharmaceutical industry?
- Not specifically. Kimi 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 Kimi?
- This sector involves health data from 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 reaches third-party AI models, and 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, text goes to Anthropic models via Amazon Bedrock, so 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 staff member remains responsible. For AI in drug development, the EMA has a reflection paper (2024) and is working with the FDA on joint principles. The international service falls under Moonshot AI Pte. Ltd. (Singapore); according to its privacy policy, data is stored on servers in Singapore and content may be used to improve the service. The K2 models are open-weight and can be self-hosted.
- How much does Kimi cost?
- There is Kimi (free) (Free), Moderato ($19 / month), API, Kimi K3 ($3.00 / $15.00 per 1M), API, Kimi K2.6 ($0.95 / $4.00 per 1M). Check current prices on the official site.
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