Neptune.ai vs Valohai
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 1.9 for Valohai, and ranks ahead in 0% of the answers that name both.
Choose Neptune.ai if…
- You want the brand AI engines rank higher (2.6 vs 1.9)
- AI answers describe it more positively (25% vs 20% positive)
- You prefer a larger, established vendor (51–200 employees)
- Collaboration-first dashboard for tracking experiments
Choose Valohai if…
- You need SOC 2 Type II coverage
- 14-day free trial
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Neptune.ai | Valohai |
|---|---|---|
| Visibility score | 2.6% | 1.9% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #24 | #30 |
| Share of voice | 0.6% | 0.7% |
| Mentions this run | 4 | 5 |
| Positive in AI answers | 25% | 20% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Neptune.ai 0pp · Valohai 0pp over 0 weekly runs.
Engine by engine
Neptune.ai leads on 1 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | Neptune.ai | Valohai |
|---|---|---|---|
| Official website of the top MLOps platform vendors | ChatGPT | #16 | #13 |
Features, pricing & fit
| Dimension | Neptune.ai | Valohai |
|---|---|---|
| Pricing model | — | Per seat |
| Entry price | — | Contact sales |
| Free plan | — | No · 14-day trial |
| Deployment | 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. | Managed cloud, on-premises, private cloud or air-gapped environments, on the customer's own cloud infrastructure |
| Integrations | 25+ | — |
| Compliance | — | SOC 2 Type II |
| Support | — | Technical support from the Customer Engineering team, Valohai Training academy, Training and onboarding resources |
| Founded | 2017 | 2016 |
| Headquarters | Palo Alto, California, United States | San Francisco, California, US |
| Employees | 51–200 | 11–50 |
| Funding | Series A · $18M raised | Seed · $2M raised |
| Best for | Teams training foundation models and other large-scale machine learning models that need to monitor GPT-scale training runs. | AI product and ML teams that combine LLMs with specialized models and need to run the work on their own cloud or on-premises infrastructure |
Plans side by side
Neptune.ai
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Neptune.ai
- Collaboration-first dashboard for tracking experiments
- Lightweight metadata store built for experiment tracking
- Discounts on annual plans
Valohai
- 14-day free trial
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Neptune.ai vs Valohai”, https://slateindex.ai/compare/neptune-ai-vs-valohai, data of Nov 2, 2026. Licence: CC BY 4.0.