Drive Data Innovation with GEM Corporation and Databricks
We’ve teamed up with Databricks to get more out of your data, faster. As a certified consulting partner, GEM brings hands-on experience in data engineering and AI – guiding teams from building the Lakehouse to scaling production-grade machine learning.
Migrate legacy systems onto Databricks with clean, production-ready pipelines built for scale.
Get a real-time, connected view of customers with analytics that slot into your BI stack.
Ship GenAI into production with tested delivery patterns built for enterprise systems.
Older systems often limit how fast teams can move, and how much value they can generate from their data. Our service moves you onto the Databricks Lakehouse without disrupting core operations. We handle schema design, secure transfer, and validation through automated workflows, so your teams don’t lose momentum during the transition.
Siloed customer data slows down everything, from campaign planning to product decisions. With this service, you get a single, dynamic view of your customers built on Databricks. Data is unified, updated in real time, and enriched through machine learning models that surface intent, affinity, and churn signals.
Gennerative AI on Databricks helps you move from experimentation to production with confidence. We support every layer, from foundation model integration and RAG pipelines to multi-agent systems designed for real business workflows.
Our service gives you a production-grade environment that’s ready for cross-functional use. From Unity Catalog and CI/CD pipelines to access controls and cost visibility, we help you build the backbone for efficient delivery and governance.
Pipeline Automation on Databricks
We design CI/CD-ready pipelines using Git, Terraform, and parameterized workflows.
MLOps And Model Lifecycle
We manage the full Machine learning lifecycle with MLflow, testing, and model serving.
GEM Generative AI And LLMOps
We deploy GenAI use cases with tuned models, vector search, and safe runtime controls.
Pipeline Automation on Databricks
We build unified customer views to drive segmentation, prediction, and compliance.
GEM works with teams to move faster on Databricks — aligning with business goals, platform patterns, and speed to production.
