Anyscale vs Neptune.ai
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Neptune.ai is the stronger AI pick in MLOps Platforms: it has a visibility score of 2.6 versus 0.6 for Anyscale, and ranks ahead in 100% of the answers that name both.
Choose Anyscale if…
- You need SOC 2 Type II or ISO/IEC 27001 coverage
- You prefer a larger, established vendor (201–500 employees)
Choose Neptune.ai if…
- You want the brand AI engines rank higher (2.6 vs 0.6)
- You need a self-hosted or on-premises option
- Collaboration-first dashboard for tracking experiments
- Lightweight metadata store built for experiment tracking
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Anyscale | Neptune.ai |
|---|---|---|
| Visibility score | 0.6% | 2.6% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #43 | #24 |
| Share of voice | 0.3% | 0.6% |
| Mentions this run | 2 | 4 |
| Positive in AI answers | — | 25% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Anyscale 0pp · Neptune.ai 0pp over 0 weekly runs.
Engine by engine
Neptune.ai leads on 3 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | Anyscale | Neptune.ai |
|---|---|---|---|
| Official website of the top MLOps platform vendors | ChatGPT | #19 | #16 |
Features, pricing & fit
| Dimension | Anyscale | Neptune.ai |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Contact sales | — |
| Free plan | No | — |
| Deployment | Hosted by Anyscale, or Bring Your Own Cloud (BYOC) inside the customer's own cloud or on-prem | Hosted service by default, with a self-hosted option on-premises or on AWS, Google Cloud or Azure as a Kubernetes cluster, deployed as microservices via a Helm chart. |
| Integrations | — | 25+ |
| Compliance | SOC 2 Type II, ISO/IEC 27001 | — |
| Support | Business-hours support with 5 case submissions on hosted plans, 24x7 expert support with BYOC, Enterprise SLAs with 24x7 coverage and unlimited case submissions, Documentation, discussion forum and Slack community for Ray | — |
| Founded | 2019 | 2017 |
| Headquarters | San Francisco, California, USA | Palo Alto, California, United States |
| Employees | 201–500 | 51–200 |
| Funding | Series C (second tranche) | Series A · $18M raised |
| Best for | Python teams and foundation model builders that run data-intensive training, batch inference and data curation workloads on their own GPUs. | Teams training foundation models and other large-scale machine learning models that need to monitor GPT-scale training runs. |
Plans side by side
Anyscale
Neptune.ai
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Anyscale
Profile in progress.
Neptune.ai
- Collaboration-first dashboard for tracking experiments
- Lightweight metadata store built for experiment tracking
- Discounts on annual plans
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Anyscale vs Neptune.ai”, https://slateindex.ai/compare/anyscale-vs-neptune-ai, data of Nov 2, 2026. Licence: CC BY 4.0.