Is Monte Carlo safe with your data?
Monte Carlo
Monte Carlo Data, Inc.
Partial disclosure · high confidence
Monte Carlo earns a C (48/100) because it discloses its data practices only in part.
#110
of 211 apps ranked
48
score · Data platform avg 44
+4
vs category average
Monte Carlo does not disclose whether customer inputs train its models, lacks opt-out mechanisms for training, and provides vague retention periods ("as long as necessary"), though it does clearly prohibit selling personal data and certifies DPF compliance.
What Monte Carlo's privacy policy and terms of service say about your data
Training disclosure gap
Policy is completely silent on whether customer data/inputs train Monte Carlo models. D1.1-D1.3 all zero (silent).
Data ownership clear
D1.4 and D3.2 correctly cap scope: customer owns data, Monte Carlo uses only "as necessary to provide the Service" with deletion upon request.
No model training opt-out
Unlike Anthropic (which offers opt-out in account settings), Monte Carlo provides no disclosed mechanism to decline model training use.
Vague retention baseline
D3.1 says "as long as necessary", no named number, no deletion timeline (30-day floor), ladder correctly set to 0.2.
What the policy is silent or vague on
- Not stated: keeping user inputs out of model training
- Not stated: a way to opt out of training
- Not stated: whether training use differs by plan
- Not stated: a deletion timeline after closure or request
Monte Carlo privacy rating
Details
- Category
- Data platform
- Modalities
- text
- Processes biometrics
- No
- Policy last updated
- 2025-04-10
- Region scored
- Global / US-default
- Last assessed
- 2026-07-08
Documents examined
Other data platform apps
Each grade reflects our analysis of what an app states in its public privacy policy and terms as of the assessment date. It measures the transparency of those documents, not the company's actual data practices, security, or compliance. Grades are our opinion, offered for general information. Full disclaimer.