Neptune.ai
Experiment management tool bringing organization and collaboration to data science projects.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor | €0.0 | round |
| investor | €0.0 | round | |
| investor investor investor | €0.0 | round | |
| investor investor investor investor | €0.0 | round | |
* | N/A | N/A | Early VC |
| Total Funding | 000k | ||
| USD | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 34 % | 127 % | 95 % | 6 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Neptune.ai operates in the MLOps (Machine Learning Operations) market, providing a specialized platform for experiment tracking. The platform serves data scientists, machine learning engineers, and AI researchers by offering a centralized location to log, compare, store, and collaborate on machine learning experiments and models. Neptune.ai's business model includes both SaaS (Software as a Service) and self-hosted solutions, catering to a wide range of clients from academic researchers to enterprise-level AI teams. The company generates revenue through subscription fees for its SaaS offering and licensing fees for its self-hosted solution. Neptune.ai's platform is designed to streamline the workflow of machine learning projects, making it easier for teams to manage and reproduce experiments, monitor training processes, and collaborate effectively. The platform's features include experiment comparison, training monitoring, and reproducibility, which are critical for advancing machine learning research and development.
Keywords: MLOps, experiment tracking, machine learning, AI research, data scientists, SaaS, self-hosted, collaboration, reproducibility, training monitoring.