Streamline Al and ML workflows end-to-end on Databricks with Altysys.
Upgrade to an intuitive Al and ML development, deployment, and maintenance experience with Databricks and Altysys.
As Al becomes essential for strategic decision-making, companies need a platform that can support the full Al and ML lifecycle-from data collection to model deployment and monitoring. However, the challenge lies in scaling Al efforts, ensuring governance, and managing model lifecycle complexities across diverse teams and datasets.
Mosaic Al provides an extensive suite of tools to support every stage of the Al and ML lifecycle in the Databricks environment, from model training and experiment tracking to large-scale deployment. With built-in tools like MLflow for experiment tracking and robust support for advanced model serving, Databricks enables organizations to achieve consistent and predictable success with Al and ML. Altysys has helped its clients exploit these powerful Al and ML capabilities in Databricks, by guiding analytics teams through seamless setup, advanced configuration, and scalable deployment to modernize their Al development efforts. From generative Al to deep learning, Databricks has the capabilities to help you build cutting-edge, production-ready Al and ML solutions.
Orchestrate En-to-end ML Lifecycle on Databricks
Transform the AI development and management experience with Databricks
Model Tracking
Transparent versioning and reproducibility
Automate feature engineering
with Databricks Feature Store
Seamless model serving
With Mosaic AI
Advance monitoring
Proactively detect data drift
GenAI Support
LLMs, vector DBs, and custom models
Ready to upgrade your analytics outcomes with Databricks?
Our Data and AI experts are ready to help.