Enterprise
Why choose getML Enterprise?
ML teams working enterprise data, be it relational or time series, face a significant challenge. Building ML applications on top of traditional open-source ML libraries and algorithms takes months of work, and results in hard to maintain model code and feature store infrastructure. getML changes that.
Unprecedented value at a fraction of the cost
getML Enterprise is your choice if your business application demands high model accuracies and short development cycles. Using getML, Data Science Teams will experience:
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No Coding Overhead: getML Relational Learning eliminates the need for writing and maintaining extensive feature logic code, allowing your data science teams to accelerate development timelines and focus on business impact.
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Fast Time to Market: Streamline the MLOps process with getML Relational Learning reducing project timelines from months to days and cutting model training times from hours to minutes.
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Efficient Project Management: Minimize delays and simplify workflows by reducing the need for intensive collaboration between data scientists and domain experts, enhancing overall team efficiency.
An Edge for ML-Driven Enterprises
getML Enterprise offers a Suite of cutting-edge ML algorithms that surpass both the getML Community edition and other propositionalization libraries. The unique capabilities of getML Enterprise algorithms provide several key advantages:
- More Accurate Models: Achieve double-digit accuracy gains across various use cases.
- Robust Against Feature Drift: Ensure consistent performance despite data pattern changes.
- Captures Smallest Nuances: Built for the complexity of real-world data where alternative solutions fail.
Talk to sales
Request a meeting to explore the potential of getML Relational Learning for your business application.