Domino Data LabThe enterprise AI platform to build, scale, and govern AI-powered applications
vs
NannyMLEstimate your model performance in production without ground truth.
Comparison · MLOps Platforms · weekly run Nov 2
Domino Data Lab vs NannyML
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Domino Data Lab is the stronger AI pick in MLOps Platforms: it has a visibility score of 5.6 versus 0 for NannyML.
Choose Domino Data Lab if…
- You want the brand AI engines rank higher (5.6 vs 0)
- You need a self-hosted or on-premises option
- You need ISO 27001 or ISO 9001 or SOC 2 or HIPAA or GDPR coverage
- You prefer a larger, established vendor (201–500 employees)
Choose NannyML if…
- You want a free plan to start
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Domino Data Lab | NannyML |
|---|---|---|
| Visibility score | 5.6% | 0% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #15 | #60 |
| Share of voice | 2.5% | 0% |
| Mentions this run | 17 | 0 |
| Positive in AI answers | 35% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Domino Data Lab 0pp · NannyML 0pp over 0 weekly runs.
Engine by engine
Domino Data Lab leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Domino Data LabNannyML
Head to head in AI answers
0 engine answers name both brands
0Domino Data Lab ranked higher
0NannyML ranked higher
Features, pricing & fit
| Dimension | Domino Data Lab | NannyML |
|---|---|---|
| Pricing model | Flat tiers | Flat tiers |
| Entry price | Contact sales | Free; paid from $399 / mo |
| Free plan | No | Yes |
| Deployment | Single-tenant managed SaaS (Domino Cloud), or self-managed in the customer's VPC or on-premises, with hybrid and multicloud operation via Domino Nexus. Runs on Kubernetes. | SaaS, or deployed in the customer's own cloud via NannyML Cloud; self-managed via the open-source library |
| Compliance | ISO 27001, ISO 9001, SOC 2, HIPAA, GDPR | — |
| Support | Premium support with 2 business day response for non-urgent issues and 2 hour response for urgent issues, Enterprise support with 1 business day response for non-urgent issues and 1 hour response for urgent issues, Designated customer success manager on Enterprise plans, Security team available 24/7 for enterprise customers | Email, Private Slack, 24/7 support, Dedicated data scientist |
| Founded | 2013 | — |
| Headquarters | San Francisco, CA | Leuven, Belgium |
| Employees | 201–500 | 11–50 |
| Funding | Strategic equity investment from UBS · $228M raised | Pre-seed · $2M raised |
| Best for | Large enterprises in regulated industries such as life sciences, financial services and the public sector, especially code-first data science teams. | Data science teams that need to monitor machine learning models after deployment |
Plans side by side
Domino Data Lab
Domino CloudCustomsubscription
PremiumCustomsubscription
EnterpriseCustomsubscription
Pros and cons
Themes from the AI answers that mention each brand
Domino Data Lab
- Reproducible development environments
- Centralized governance and lifecycle policy enforcement
- Suited to collaborative, governed enterprise data science at scale
- Analyst recognition, such as a Gartner Visionary placement
NannyML
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Domino Data Lab vs NannyML”, https://slateindex.ai/compare/domino-data-lab-vs-nannyml, data of Nov 2, 2026. Licence: CC BY 4.0.