neptune.ai

neptune.ai

Software Development

Palo Alto, California 36,774 followers

The experiment tracker for foundation model training.

About us

Neptune is the most scalable experiment tracker for teams that train foundation models. Monitor and visualize months-long model training with multiple steps and branches. Track massive amounts of data, but filter and search through it quickly. Visualize and compare thousands of metrics in seconds. And deploy Neptune on your infra from day one. Get to the next big AI breakthrough faster, using fewer resources on the way.

Website
https://neptune.ai
Industry
Software Development
Company size
51-200 employees
Headquarters
Palo Alto, California
Type
Privately Held
Founded
2017
Specialties
Machine learning, MLOps, Gen AI, Generative AI, LLMs, Large Language Models, LLMOps, Foundation model training, and Experiment tracking

Locations

Employees at neptune.ai

Updates

  • A 2-minute demo showcasing how neptune.ai supports teams that train foundation models. Haven't heard about Neptune before? TL;DR: It's an experiment tracker built to support teams that train large-scale models. Neptune allows you to: → Monitor and visualize months-long model training with multiple steps and branches. → Track massive amounts of data, but filter and search through it quickly. → Visualize and compare thousands of metrics in seconds. You get to the next big AI breakthrough faster, optimizing GPU usage on the way. If you want to learn more, visit: https://buff.ly/4cXZGep Or play with a live example project here: https://buff.ly/3WlPVQg

  • Smaller, smarter, safer. Kanika Narang breaks down the future of AI over the next 5 years. → Smaller, multimodal models will drive a more natural integration of technology into everyday life. → Close cooperation between users, engineers, PMs, and UX designers will be crucial for creating impactful applications. → Prioritizing responsible AI and ensuring its reliability will remain essential. — (link to the full interview in the comments) #generativeai #genai #llm

  • Hey academic researchers – would you like to optimize the usage of your limited GPUs? You can do it with Neptune, for free. Monitor experiments and compare metrics in real time, reacting quickly to failed runs and divergences. As a bonus, you’ll have all your data in one place, which means easier reproducibility and collaboration with your research group. Check our free academic research program: https://buff.ly/47dzgTU #generativeai #genai #llm #ml #researchers

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  • View organization page for neptune.ai, graphic

    36,774 followers

    We asked Tom Hamer 🦛 from Marqo: What are some of the biggest search engine and recommender system challenges? Here's his take: → Retrieval: unstructured data, such as images, often lack proper labeling. Even when labeled, images hold much more context than text can capture. → Understanding user intent: one-word prompts can be ambiguous. Effective search requires combining retrieval with metadata, like user location or previous interactions. Advancements in AI and LLMs help tackle these challenges by integrating data sources and improving understanding of unstructured data. — (link to the full interview in the comments) #generativeai #genai #llm

  • View organization page for neptune.ai, graphic

    36,774 followers

    What’s next for AI in the upcoming 5 years? Some highlights from Prashanth Jayachandran: → GenAI will redefine job roles and workflows as its capabilities expand. → Quantum computing may be critical to advancing AI’s capabilities. → Governments need to adopt flexible policies that can keep up with fast tech changes. → Cross-sector collaboration is essential for managing the impact of AI responsibly. — (Link to the full interview in the comments) #generativeai #genai #llm

  • Sometimes, raw metrics don’t tell the whole story. With custom expressions, you can turn raw data into actionable insights. Define derivative metrics based on your needs, such as growth rates, weighted averages, or normalized scores. No need for extra tools. You can do it within Neptune’s dashboards or reports. — Custom expressions are another new capability supported in Neptune Scale, our upcoming product release. Test it yourself: https://buff.ly/4eCFUpz #generativeai #genai #llm

  • The gen AI challenge isn’t just tech—it’s the people side. Keeping up with fast-paced changes is tough, especially in industries like government, where digital transformation is ongoing. Many companies still miss clear roadmaps for their digital journey. The first step is prioritization: understanding what’s critical to implement and what can wait. — (link to the full interview in the comments) #generativeai #genai #llm

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Funding

neptune.ai 3 total rounds

Last Round

Series A

US$ 8.0M

Investors

Almaz Capital
See more info on crunchbase