Financial services
Expertise in core banking, BaaS integrations, payments, and GenAI-enhanced financial solutions.
Healthcare
People-centric healthcare design and solutions, from virtual care, integrations, to smart devices.
Insurance
Modern solutions including self-service, on-demand, and algorithm-driven personalization.
Hi-tech & semiconductors
Semiconductor design, firmware and IoT development, and AI-powered embedded systems.
Qubika is a Databricks Select Partner
Learn more about our journey, our 200+ certified Databricks experts, and how we’re delivering solutions such as autonomous AI agents.
Databricks Capabilities
Learn more about Qubika's strong partnership with Databricks as a Select Partner, delivering solutions across the finance, banking, healthcare, hi-tech, and entertainment industries.
Databricks Impact on Financial Institutions
Databricks empowers financial institutions to harness unified data and AI, such as for real-time fraud detection, dynamic risk modeling, and personalized customer experiences.
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
At FinovateFall, New York, Qubika’s Finance Studio will showcase its work in using AI and machine learning to transform the financial sector. We’ll discuss our solutions for digital banking, risk prediction, credit scoring, fraud detection, and more.
Embedded finance and AI are set to revolutionize customer engagement in financial services. From seamless digital payments to hyper-personalized product recommendations, the future of fintech is data-driven and customer-centric. The ability to integrate financial products into everyday experiences and harness AI’s power will shape the next generation of successful fintech companies.
Databricks’ Data + AI Summit 2024 showcased Databricks’ commitment to advancing the lakehouse approach, revealing a host of features and tools designed to empower organizations to build and deploy ever-more mature AI solutions.
Everything you need to know about Databricks
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