
Datatron
Data platform for businesses to merge real-time and historical data.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor investor | €0.0 | round |
investor | €0.0 | round | |
investor investor investor investor investor investor investor investor investor investor investor | €0.0 | round | |
investor investor investor investor investor investor investor | €0.0 | round | |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
N/A | $1.4m | Seed | |
Total Funding | 000k |
USD | 2021 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Datatron is a leading provider of MLOps (Machine Learning Operations) solutions, designed to help enterprises deploy, monitor, and govern their AI models at scale. The company serves large organizations that require robust infrastructure to manage their machine learning models efficiently. Operating in the enterprise software market, Datatron's business model revolves around offering a subscription-based platform that integrates seamlessly with existing systems, reducing the time and cost associated with AI model deployment by up to 90%. The platform includes features such as JupyterHub integration, Kubernetes management, and comprehensive AI governance tools, ensuring models perform as expected and adhere to regulatory standards. Datatron generates revenue through its subscription fees, which are tiered based on the scale and complexity of the deployment. The company also offers professional services to assist clients in optimizing their machine learning workflows.
Keywords: MLOps, AI governance, model monitoring, enterprise software, scalable deployment, Kubernetes, JupyterHub, machine learning, AI model, subscription-based.