We are shaping the future of next-generation applications by seamlessly integrating advanced data engineering and AI solutions with high-quality UX and robust security.
Featured Pillars
AI Insights
Qubika partners with leading organizations across industries, delivering technology solutions that drive transformation and measurable results. Our expertise empowers clients to achieve business goals through tailored digital strategies.
Our Industries
Financial Services
Expertise in core banking, BaaS integration, payments, and financial AI agents.
Health & Wellbeing
People-centric healthcare solutions, from virtual care to integrations and smart devices.
Insurance
AI-powered insurance solutions - from accelerating policy lifecycle management to accelerating claims processing.
Media & Entertainment
AI-native solutions to deliver personalized, real-time, and immersive experiences at scale.
Hi-Tech & Semiconductors
Semiconductor design, firmware, and IoT development, AI-powered embedded systems.
Industry Insights
Dive into our expert insights on the latest in technology and business developments.
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With 20 years of experience, our expertise spans the AI lifecycle - from data engineering and AI agent development to cloud integrations and human-centric product design.
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Are you interested in shaping the AI-future? Then discover how you can join one of the fastest growing companies in the industry.
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Qubika's locations are centers of high-quality innovation. Explore our global network and get in touch with our experts.
Learn moreWe've empowered numerous industry leaders to harness the full potential of Databricks' Intelligence platform, driving transformative results and measurable business impact.
Highlights of our partnership
Select Tier Partner
Qubika is a Select Tier Databricks partner, delivering scalable, secure data and AI solutions on Databricks.
200+ certified Databricks engineers
Qubika has 200+ certified engineers on the Databricks Intelligence Platform
20+ years of data experience
Qubika has been providing end-to-end data services for over 20 years.
Databricks Insights
Our Data and AI Studios have extensive experience working with Databricks and we are proud to be recognized with Select status in their partner program.
We've empowered numerous industry leaders to harness the full potential of Databricks' Intelligence platform, driving transformative results and measurable business impact.
20+
Years of experience working with data
200+
Certified Databricks data analysts, engineers, scientists & machine learning engineers
As a Select Databricks Partner, we've demonstrated our deep knowledge of the platform and a proven track record of successful implementations.
We have 200+ professionals certified on the Databricks Intelligence platform. Our people have Databricks certifications ranging from Associate Data Analyst, Data Engineer, to Professional Machine Learning Engineer and GenAI Engineers.
Success Stories
B2B and B2C clients use Agentic AI built by Qubika to drive increased performance among enterprise go-to-market teams.
Advanced AI and Machine Learning with Databricks, including using AI/BI Genie and Agent Bricks.
Accelerated insights with faster ETL, real-time analytics, and deeper AI-driven insights.
Improved scalability & reliability by eliminating siloed pipelines, reducing downtime, and enable reprocessing for clean, auditable data.
Success Stories
Founded by Chris Hemsworth, Centr is a digital platform that offers personalized coaching, daily workouts, along with expert-approved fitness equipment.
Qubika led their data transformation effort. We designed and implemented Centr’s modern data lakehouse using Databricks and Delta Lake - enabling scalable analytics, unified data access, and AI-readiness.
Scalable and secure data foundation to provide robust governance for health and payment data.
Used MLflow for adaptive workout and meal recommendations, as well as user insights.
Machine learning to provide personalized coaching and churn prediction via real-time data ingestion.
Databricks to build modern data
foundations and scale enterprise AI.
We specialize in building enterprise-grade AI agents and copilots using the Databricks Mosaic AI framework, Agent Bricks, and Qubika’s Agentic Platform (QAP).
We use LangChain and MLflow to orchestrate complex agent pipelines, integrating retrieval-augmented generation (RAG), external APIs, and decision-making logic.
We help organizations develop and deploy robust machine learning and deep learning models directly within Databricks, using tools like MLflow.
Our MLOps approach streamlines everything from model versioning and CI/CD to drift detection and retraining. We use Mosaic AI Model Serving for real-time or batch inference and integrate pipelines using Databricks Workflows.
We architect and build high-performance lakehouse environments using Delta Lake as the foundation for unified storage and analytics.
By incorporating Databricks Workflows for orchestration and Lakehouse Federation to connect external data sources, we build highly effective, scalable systems.
Data quality and governance is the core for successful AI and machine learning efforts. We implement data quality validation at every stage, such as using expectations in Lakeflow pipelines.
Our approach uses Unity Catalog to centralize access control and provide end-to-end lineage visibility.
We support seamless migrations from both legacy systems - as well as from alternatives such as Snowflake and Redshift, to Databricks. We ensure speed, security, and minimal business disruption - leveraging in particular the Databricks SQL, repos, and Lakebridge.
We embed governance from day one using Unity Catalog, ensuring secure access, lineage tracking, and compliance.
We connect Databricks to your broader enterprise stack - whether it's BI tools, data catalogs, or AI/machine learning platforms—using Partner Connect and custom connectors.
We design and build robust data pipelines optimized for performance and reliability.
Whitepaper
This white paper introduces Qubika’s modular, production-ready architecture for building agentic AI systems using Databricks and LangGraph - designed for scalability, observability, and business impact.
The white paper also includes a case study of our work implementing AI agents for one of the world’s most prominent financial investment institutions.
conferences and meetups, and drive
awareness with thought leadership.About Us
"Consider the expertise that you require. They are one of the best groups around. Trust that they’ll put good people into the project. They want to do the right thing."
Mark Gorelick
Chief Product Officer
"I appreciate their ability to respond and be dynamic. They’ve taken an individual interest in understanding our business. As soon as I started working with them, their lead sat with us for 2 weeks in order to understand everything before providing direction."
Prashanth Donepudi
Senior VP of Technology
"We've tripled our output from 20–25 to about 60-70 story points per week. They're fantastic to work with. Everyone I've worked with on their team has gone over and beyond to understand our goals and been very thorough in their approach. Everyone on their team has a lot of talent and knowledge in what they do.
Dylan Barth
Lead Platform Developer
"This team has been an ideal partner with our business. Their ability to work within our budget, adjust to our ever-changing product development priorities, and provide innovative and thoughtful solutions has been a large part of our success."
Steve Roberson
Managing Partner
For years, businesses ran transactions and analytics in separate systems, creating messy ETL pipelines and overhead. At the Databricks Data + AI Summit 2025, Lakebase was unveiled—a serverless PostgreSQL engine that unifies OLTP and OLAP in the Lakehouse. By eliminating silos and enabling real-time, AI-driven apps, Lakebase marks a major shift in how organizations use data.
Planning a Redshift to Databricks migration? This guide walks through discovery, architecture and feature mapping, data and pipeline migration, and downstream integration—plus a real-world case study and three proven best practices to boost governance, speed with automation, and end-to-end data quality.
Qubika’s Prompt System (QPS) adds an orchestrated, multi-agent workflow inside tools like Cursor and Copilot. It front-loads planning, security, and debugging with mandatory approvals, keeping changes auditable—so engineering teams get AI speed without losing enterprise-grade control, as part of our AccelerateAI framework.
Everything you need to know about Databricks
Get in touch with our experts to review your idea or product, and discuss options for the best approach
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