Neptune.ai was built for experiment tracking in MLOps. Neptune is built for AI orchestration, routing, executing, and communicating across modern AI workflows.
With Neptune.ai shutting down in 2026, teams are now evaluating what to move to next and whether traditional experiment tracking is still enough.
What is Neptune.ai and why is it shutting down?
Neptune.ai is an experiment tracking platform used in MLOps to log, visualize, and compare machine learning experiments.
However, with the shift toward AI-native systems and orchestration-based workflows, traditional experiment tracking tools are becoming less relevant for production AI systems.
Many teams are now looking for platforms that go beyond tracking into execution and automation.
What is Neptune (Neptuneai.live)?
Neptune is an AI orchestration platform designed for modern AI systems.
Instead of only tracking experiments, Neptune helps teams:
- Route tasks to the best AI model
- Execute multi-step AI workflows
- Communicate outputs via email, Slack, WhatsApp, or APIs
- Build automated AI pipelines that go from input → action → output
It is built for production AI workflows, not just research tracking.
Neptune vs Neptune.ai & Side by Side Comparison
Core Difference:
- Neptune.ai → Experiment tracking system
- Neptune → AI orchestration and execution platform
Comparison Table:
| Feature | Neptune.ai | Neptune |
|---|---|---|
| Primary Use | Experiment tracking | AI orchestration |
| Workflow Type | Logging & analysis | Execution & automation |
| AI Model Routing | Not supported | Supported |
| Multi-step workflows | Limited | Fully supported |
| Communication layer | Not available | Built-in (email, SMS, Slack, WhatsApp) |
| Target Users | ML researchers | AI product & engineering teams |
Feature comparison: Experiment Tracking vs AI Orchestration
Experiment tracking focuses on observing what happened during model training.
AI orchestration focuses on:
- Choosing the right model for each task
- Connecting multiple AI systems together
- Automating workflows end-to-end
- Delivering outcomes across channels
In simple terms:
👉 Tracking = observing AI
👉 Orchestration = operating AI
Why teams are moving away from Neptune.ai
The AI industry is shifting from single-model experiments to multi-model production systems.
Limitations of traditional tracking tools:
- No execution layer
- No automation workflows
- No communication system
- Limited production scalability
Modern AI teams need systems that can actually run workflows, not just log them.
Ready to move beyond tracking?
Try Neptune free at neptuneai.live
No credit card required. No migration hassle. Orchestration that goes further than experiment tracking ever could.