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.

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Modernize Without Disruption

Migrate legacy systems onto Databricks with clean, production-ready pipelines built for scale.

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Break Down Data Silos

Get a real-time, connected view of customers with analytics that slot into your BI stack.

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Scale AI With Confidence

Ship GenAI into production with tested delivery patterns built for enterprise systems.

Databricks Service Offerings

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Data Migration & Modernization Services

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.

  • Transform fragmented data assets into a unified, high-performance environment
  • Bring analytics and AI use cases within reach without rebuilding from scratch
  • Free engineering teams from constant patchwork and maintenance cycles
  • Create a clear migration path that doesn’t require a full system rewrite
Start Your Migration Roadmap
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Customer 360 Services

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.

  • Remove guesswork from segmentation and targeting strategies
  • Connect product, support, and marketing data into a single behavioral narrative
  • Surface actionable signals like next-best-action, intent clusters, and journey gaps
  • Build trust in customer data by aligning metrics across business units
Build Your Unified Customer View
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Generative AI Services

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.

  • Connect enterprise data to GenAI pipelines without compromising governance
  • Unlock use cases beyond chat, from internal copilots to intelligent routing
  • Introduce guardrails for model behavior, monitoring, and feedback loops
  • Empower innovation teams deliver faster, with fewer false starts
Bring GenAI Use Cases to Production
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Platform Enablement & Support

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.

  • Simplify platform operations so teams can focus on shipping, not setup
  • Introduce structure around access, lineage, and usage with minimal overhead
  • Align cost tracking with team-level accountability and project forecasts
  • Accelerate onboarding and collaboration with pre-built patterns and workflows
Simplify Databricks Operations

+55M

Transactions daily

+900K

Active users

+971+

Customer instances managed globally

Our Technical Depth on Databricks

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Pipeline Automation on Databricks

We design CI/CD-ready pipelines using Git, Terraform, and parameterized workflows.

  • Version notebooks with Databricks Repos & PR workflows
  • Automate jobs with Terraform and REST API triggers
  • Use widgets for flexible, reusable notebook execution
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MLOps And Model Lifecycle

We manage the full Machine learning lifecycle with MLflow, testing, and model serving.

  • Log experiments and metrics in MLflow
  • Register and promote models with version control
  • Serve models via batch jobs or real-time endpoints
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GEM Generative AI And LLMOps

We deploy GenAI use cases with tuned models, vector search, and safe runtime controls.

  • Fine-tune LLMs and track prompts with MLflow
  • Store embeddings in Pinecone or FAISS
  • Monitor latency, usage and moderation filters
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Pipeline Automation on Databricks

We build unified customer views to drive segmentation, prediction, and compliance.

  • Merge CRM, ERP, and channel data into Delta Lake
  • Segment users and predict churn with ML models
  • Apply access control and masking for PII protection

Ready to see real results from your data?

GEM works with teams to move faster on Databricks — aligning with business goals, platform patterns, and speed to production.

Talk to our Databricks expert

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