| Description |
| Summary |
Experiment tracker for foundation-model training, debugging, and training observability; acquisition by OpenAI announced.
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| Description |
Neptune helps AI teams track experiments, monitor training, debug model behavior, and understand complex foundation-model training runs as they happen.
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| Positioning |
Experiment tracker for foundation-model training
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| Key facts |
| HQ location |
Warsaw, Poland / remote
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| Founded |
2017
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| Employee range |
51-200
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| Funding stage |
Acquired
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| Company type |
Unknown
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| Pricing model |
subscription
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| Last updated |
Jun 21, 2026
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| Financials |
| Revenue estimate |
Unknown
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| Valuation estimate |
Deal terms undisclosed; Reuters reported under $400M stock value estimate
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| Investments |
Acquisition by OpenAI announced Dec 2025; prior public funding was modest/undisclosed in detail
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| Relationships |
| Target customers |
AI labs, ML researchers, and teams training large/foundation models
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| Key competitors |
Weights & Biases, Comet, MLflow, WhyLabs, TensorBoard
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| Known customers |
OpenAI, Samsung, Roche, HP and foundation-model teams publicly referenced
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| Segments & Industries |
| Segments |
AI Workflows, LLM Fine-tuning, AI Developer Tools, AI Quality & Observability, Traditional ML, AI Governance & Risk, Analytics & BI
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