Generative AI & LLM Solutions
- RAG pipelines with Databricks
Vector Search - LLM fine-tuning on proprietary data
via Mosaic AI - AI chatbots, copilots & knowledge
assistants - AI agent development &
orchestration
SI: AI-Powered Databricks Services
End-to-End Data, AI & Analytics Solutions
Whether you're beginning your Databricks journey or unlocking advanced AI capabilities, our certified experts deliver scalable, governed, and production-ready solutions across every layer of your data and AI stack.
Our Databricks Service Capabilities
Machine Learning & MLOps
- Predictive model development
(Spark ML, PyTorch, XGBoost) - MLflow experiment tracking &
model registry - Feature Store design with versioned
features - Real-time & batch model serving
endpoints
AI-Ready Data Engineering
- End-to-end ETL/ELT pipelines using
PySpark & Spark SQL - Medallion architecture (Bronze →
Silver → Gold) - Real-time streaming with Structured
Streaming - Feature engineering pipelines for
ML models
AI-Powered Analytics & BI
- Databricks SQL Warehouse setup &
optimization - AI/BI dashboards with predictive
KPIs & alerts - Natural language to SQL for non-
technical users - Integration with Power BI, Tableau,
Looker
Platform & AI Infrastructure
- Workspace provisioning on AWS,
Azure, or GCP - GPU cluster setup for AI/ML
workloads - Unity Catalog for centralized data &
AI governance - CI/CD pipelines for notebooks, jobs
& libraries
AI Governance & Security
- Unity Catalog with row/column-
level security - AI model lineage, versioning & audit
trails - Responsible AI: bias detection &
explainability - GDPR, HIPAA, SOC 2 & EU AI Act
compliance
Why Innovecture
Databricks Certified Experts
AI automates code generation, bug detection, code review and comprehensive testing workflows.
AI-First by Design
Every solution built with AI readiness — from pipelines and governance to serving and monitoring.
80% Faster Implementation
Proven accelerators, reusable templates, and pre-built frameworks cut delivery time dramatically.
Cost-Conscious Engineering
Optimized for performance and cost — right-sizing, autoscaling, spot instances, and DBU analysis.
Engagement Models
Fixed-Scope Project
Defined deliverables, timeline & budget — ideal for migrations, platform setup, POC/pilots
Time & Materials
Flexible monthly engagement for ongoing development, pipeline builds & iterative AI projects
Managed Services
Monthly retainer for production platform management, model monitoring & 24/7 support
Staff Augmentation
Dedicated Databricks engineers embedded in your team for large-scale AI initiatives
