Is Monte Carlo safe with your data?
Monte Carlo
Monte Carlo Data, Inc.
Partial disclosure · grade C is 48–59 · high confidence
Scored 55 ± 5 (range 50–60)
The ±5 is measured, not chosen: re-running the grader on identical policy text landed inside this range for 96% of apps. Read a one-grade gap between two apps as noise. How we grade
Monte Carlo earns a C (55/100) because it discloses its data practices only in part.
#63
of 216 apps ranked
55
score · Data platform avg 47
+8
vs category average
Monte Carlo's policy is strong on contractual data ownership, named subject rights and a referenced DPA, but it says nothing about whether customer data or inputs train models and gives no retention period or breach-notification commitment.
What Monte Carlo's privacy policy and terms of service say about your data
Customer keeps ownership, and reuse is contractually fenced
The terms state the customer retains all right, title and interest in its data, and that Monte Carlo will not use or access customer data except as necessary to provide the service, with return or destruction on termination.
No statement at all about model training
Neither the privacy policy nor the terms say whether customer data or service inputs are used to train or improve AI models, and no opt-out mechanism is offered. Platform telemetry is reserved for internal business use, but that clause excludes customer data.
Retention and breach handling left open
The policy keeps personal information "as long as it is necessary or relevant" with no stated number of days, and commits to no timeframe for notifying people of a security breach. Security is described only as "industry-standard" measures.
Rights and sharing are concretely documented
Access, correction, deletion, portability in a machine-readable format and opt-out all route to a named privacy address with a 30-day response target, selling is ruled out outright, and international transfers rest on named Data Privacy Framework certification.
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: shorter retention for AI conversation logs
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
- 2026-10-13
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.