Certified partner for scalable data & AI solutions

As a Certified Databricks Consulting Partner, we help organizations unlock real value from their data – from scalable architecture and AI to real-time analytics and governance – all made possible through the Databricks Lakehouse Platform.

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Why Databricks

Databricks is the world’s leading Lakehouse Platform, combining the flexibility of data lakes with the performance of data warehouses – enabling a simplified architecture that supports all data use cases on a single platform.

Key capabilities:

  • One environment for all workloads – data engineering, analytics, BI, and machine learning in a unified space
  • Flexible cloud deployment – compatible with AWS, Azure, and GCP
  • AI & ML ready by design – native support for MLflow, AutoML, and model tracking
  • Built-in governance and security – Delta Lake and Unity Catalog ensure control over data quality, lineage, and access

What you gain with Databricks

Smarter, faster decisions

Bring your data together in one place to support better, faster decision-making across teams.

Operationalized AI/ML

Build, track, and deploy models with tools designed for real-world applications – not just experiments.

Faster time-to-value

Automated, streamlined pipelines reduce repetitive tasks and cut data processing time by up to 80% – helping your teams focus on delivering real outcomes, faster.

Simplified architecture

With unified Lakehouse architecture, Databricks eliminates the need for separate systems – simplified environments reduce cost and complexity while enhancing data reliability.

Practical support for real-world use cases

We help you make the most of Databricks by focusing on architecture, delivery, and measurable results. Our work ranges from pilot projects to full-scale platforms built for long-term use.

Our capabilities:

  • Data platform design and implementation
  • Scalable data pipelines and ingestion
  • Machine learning and model deployment
  • Lakehouse architecture consolidation
  • Integration with BI tools, apps, and internal systems
  • Compliance, governance, and data quality workflows

As experts in MLflow deployment on Databricks, we can help you track experiments, version models, and move from prototype to production with confidence.

Our success stories with Databricks

#1 Multilingual Product Search Engine

  • Industry: B2B E-commerce / Industrial Equipment
  • Challenge: Keyword search failed to serve multilingual and natural language queries
  • Solution: Hybrid semantic + keyword engine built with Databricks and Hugging Face
  • Outcome: +11% improvement in search relevance; improved buyer experience

#2 AI Chatbot for Field Technicians

  • Industry: Technical Services / Industrial Equipment
  • Challenge: Technicians manually searched thousands of documents
  • Solution: RAG-based chatbot using Databricks + LangChain for real-time support
  • Outcome: Faster on-site resolution and reduced service errors

#3 Unified Retail Data Platform

  • Industry: Retail / Consumer Electronics
  • Challenge: Disconnected product and content data across countries
  • Solution: Databricks Lakehouse with automated ingestion and modeled insights
  • Outcome: Centralized access to trusted data across 30+ markets; faster merchandising decisions

#4 ML-Based Product Recommendations

  • Industry: B2B Retail / Industrial Supply
  • Challenge: Low personalization and poor conversion from generic listings
  • Solution: Behavior-driven ML engine built using MLflow + PySpark on Databricks
  • Outcome: Higher engagement and click-throughs; improved campaign ROI

    Let’s talk about your next data challenge

    Whether you’re migrating from a legacy Hadoop system or looking to modernize your stack with Delta Lake and Lakehouse architecture, we offer proven solutions tailored to your environment. We’re happy to discuss whether Databricks is the right fit and how it can be adapted to your environment.