NannyMLEstimate your model performance in production without ground truth.
vs
PositThe enterprise data science platform for R and Python teams
Comparison · MLOps Platforms · weekly run Nov 2
NannyML vs Posit
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Posit is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.7 versus 0 for NannyML.
Choose NannyML if…
- You want a free plan to start
- Flat tiers pricing suits your budget better than per seat
Choose Posit if…
- You want the brand AI engines rank higher (0.7 vs 0)
- You prefer a larger, established vendor (201–500 employees)
- Per seat pricing suits your budget better than flat tiers
AI visibility side by side
Latest weekly run · Nov 2
| Metric | NannyML | Posit |
|---|---|---|
| Visibility score | 0% | 0.7% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #60 | #41 |
| Share of voice | 0% | 0.2% |
| Mentions this run | 0 | 2 |
| Positive in AI answers | — | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
NannyML 0pp · Posit 0pp over 0 weekly runs.
Engine by engine
Posit leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
NannyMLPosit
Head to head in AI answers
0 engine answers name both brands
0NannyML ranked higher
0Posit ranked higher
Features, pricing & fit
| Dimension | NannyML | Posit |
|---|---|---|
| Pricing model | Flat tiers | Per seat |
| Entry price | Free; paid from $399 / mo | Contact sales |
| Free plan | Yes | No |
| Deployment | SaaS, or deployed in the customer's own cloud via NannyML Cloud; self-managed via the open-source library | Self-managed on the customer's own servers, Kubernetes or cloud environments, and natively within Snowflake, AWS and Databricks |
| Support | Email, Private Slack, 24/7 support, Dedicated data scientist | Support Agreement for commercial software, Documentation |
| Founded | — | 2009 |
| Headquarters | Leuven, Belgium | Boston, Massachusetts, USA |
| Employees | 11–50 | 201–500 |
| Funding | Pre-seed · $2M raised | Series D |
| Best for | Data science teams that need to monitor machine learning models after deployment | Enterprise data science teams that build in R and Python and need IT governance over data, compute and packages |
Plans side by side
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “NannyML vs Posit”, https://slateindex.ai/compare/nannyml-vs-posit, data of Nov 2, 2026. Licence: CC BY 4.0.