→ Try the live playground – explore Pluto with real sample experiments, no signup required.

NeptuneAI is shutting down on March 5th after being acquired by OpenAI. We built Pluto so you can migrate safely without rushing.

👋 Who we are

Hey YC, we're Roanak and Andrew! We founded Trainy to help AI teams efficiently manage and utilize GPU infrastructure. When we heard Neptune was shutting down, our customers started panicking about losing years of experiment history and having to rewrite their logging code on a tight deadline.

So we built Pluto.

🔥 The problem

Neptune's March 5th shutdown is forcing research teams into one of the worst kinds of migrations: rushed, high-stakes, and hard to verify.

Most alternatives require you to:

• Rewrite your logging code
• Lose your historical runs (or spend days exporting and reformatting)
• Hope the new tool handles your multi-GPU workloads the same way

And you have to do all of this before March 5th or your data gets deleted.

🛠 How Pluto solves it

1. Dual-log to both platforms simultaneously

Add one import, keep your existing Neptune code running, and Pluto logs side-by-side. Validate that everything matches on your real training workloads before you cut over.

2. Export your Neptune history

Pluto includes a Neptune exporter that brings your old runs into Pluto. Years of experiment data, preserved.

3. Built for the workloads Neptune users actually run

We're optimizing for what Neptune users loved: UI responsiveness at scale, reliable logging throughput under multi-node/multi-GPU workloads, and the ability to track thousands of per-layer metrics without lag.

Deployment options:

• Self-hosted – for sensitive data or air-gapped environments, instructions in server readme
• Hosted – $250/seat/month (free for existing Trainy customers)

🙏 Our ask

If you're a Neptune user, please try Pluto with dual-logging before the March shutdown.

We're specifically looking for feedback on:

• Anything that would block your cutover
• Features you rely on that we're missing
• UI/performance differences at scale

Early Bird offer: Start dual-logging in the next 2 weeks → 3 months hosted free.

👉 Once you’ve made an account on pluto.trainy.ai, email roanak@trainy.ai or grab a time to chat and we’ll add seats/storage.

🔗 Links

• Playground – try it now
• Quickstart – get running in 5 minutes
• GitHub – Apache-2.0 (client), AGPL-3.0 (server) ⭐

We're listed on Neptune's official transition hub.

Thank you!