NannyML
Last verified 2026-05-07. JSON
The funding figures on this page are attributed, not sourced: a publisher is on record but no document URL is. How we mark provenance.
| Total raised | $2.7Mattributed |
|---|---|
| Latest round | grant, $2.7M, 2025-06-01attributed |
| Founded | unknown |
| Headquarters | BE |
| Industry | ai |
| Stage | unknown |
| Website | nannyml.com |
NannyML offers post-deployment model monitoring that detects data drift, concept drift, and performance degradation without requiring ground-truth labels at inference time. Customers are MLOps and data-science teams running credit, fraud, and recommendation models where labels arrive late. The platform pairs an OSS Python library with NannyML Cloud and integrates with Airflow, Kubeflow, Prefect, MLflow, and Arize.
Funding rounds
| Date | Round | Amount | Lead |
|---|---|---|---|
| 2025-06-01 | grant | $2.7M | undisclosed |
Detected tech stack
Cloudflare, Ahrefs, Rewardful, Google Font API, Google Hosted Libraries, Google Optimize, Google Tag Manager, jsDelivr, Polyfill 3, Clickbank, Crazy Egg, Vercel Speed Insights
Provenance
| Fact | Status | Basis |
|---|---|---|
| Grant, $2.7M | attributed | eu-grant named as publisher. No document URL on file. |
| Total raised $2.7M | attributed | eu-grant named as publisher. No document URL on file. |
| Company existence | self-reported | nannyml.com, read 2026-05-07 |
| Description | self-reported | nannyml.com, read 2026-05-07 |
Nothing on this page is sourced yet. A sourced fact links to a document that states it.
Change history
No change recorded since records began on 2026-09-24.