AccelerateAI
How Qubika is shaping the future of next generation applications
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 100+ 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.
AI-powered solutions tailored for industry-specific challenges
Specialized AI teams collaborate with domain experts to develop industry-specific AI solutions that drive business transformation, efficiency, and innovation
We help clients build AI solutions that optimize operations and unlock new revenue streams. By combining our specialized AI teams with our clients’ deep industry expertise, we operate as one integrated team driving business impact from day one.
Industries being impacted
At the core of our AI delivery model are cross-functional AI Pods, designed to build, deploy, and scale industry-specific AI solutions.
Each Pod brings together AI Product Managers, AI Engineers, MLOps Engineers and Data Scientists, depending on the needs of the solution. Additional AI-enabled roles—such as Data Analysts, Data Engineers, Product Designers, Cybersecurity specialists, and QA professionals—also play a critical role in ensuring the success and completeness of each solution.
AI Product Managers envision the next generation of AI apps, unlocking value from novel ways of interaction with AI tools.
AI Product Managers follow a data-centric approach where the data steers the capabilities of the product, and so proper data management is a key aspect of AI products.
A Data Scientist in a AI project plays a central role across the AI lifecycle, combining technical, analytical, and strategic skills to build, evaluate, and optimize generative models. They act as a strategist, experimenter, and ethical steward, ensuring that AI systems are effective, safe, and aligned with both business goals and user needs.
AI Engineers focus on developing the tools, systems, and processes that enable AI to be applied in industries we serve.
Our AI Engineers are experts on the processes, frameworks and technologies involved in AI products development.
MLOps Engineers follow practices to solve the challenges of developing, testing and deploying ML and GenAI solutions.
MLOps Engineers are responsible of the operations automation, runtime optimization, scalability, reliability, and security of the systems we build.
Our Services
The platform is a set of pre-built agents and libraries developed on top of the agnostic multi agent orchestrator framework that can run entirely on your cloud infrastructure.
Key Attributes
The platform is designed to run within your AI infrastructure. It follows OWASP guidelines for LLM applications.
Agents and libraries are designed for customization, and the architecture enables the seamless addition of new agents.
The platform is built on top of a Multiagent Orchestrator (LangGraph) framework that can run on any AI infrastructure.
Qubika covers the full spectrum of GenAI solutions
Reduce hallucination and clear test metrics to achieve a high accuracy in our solutions
Advance RAGs with an excellent integration into the organization
Our AI custom developed text and voice chatbots interact in a Q&A way with people and other systems:
AI tools and methodologies to improve the productivity.
Multi-step AI workflows that reason, plan, and execute how to solve a problem.
The Qubika Agentic Methodology (QAM) process builds on standard agile methodologies but incorporates nuances specific to AI agents.
A security mindset is the foundation that enables us to innovate safely.
We stick to OWASP security practices and recommendations.
Structure sprints to include code iteration + AI behavior training.
Maintain short feedback loops for iterative learning.
Integrate data pipeline tasks alongside standard development stories.
Develop agent-centered stories to prioritize learning over features.
Enable user-driven reinforcement through direct feedback mechanisms.
Allow AI agents to learn and improve from real-world interactions.
Our Services
Use the Qubika Al Agent Framework to identify and prioritize Al use cases with the highest ROl and strategic impact.
In addition to Qubika's pre-built agents (such as Financial Analyst Agent, Credit Scoring Agent), we develop custom AI agents to solve specialized industry challenges.
Deploy cross-functional pods to augment a client's in- house teams, accelerating Al projects without compromising quality.
Fine-tune existing Al models to enhance performance, scalability, and accuracy. At the same time provide a benchmarking service for comparing model performance for specific use cases.
White Paper
AI is revolutionizing industries, but challenges remain. Qubika's expertise empowers organizations to successfully adopt AI and transform key business functions.
From bankruptcy prediction and fraud detection in financial services to hyper-personalized learning experiences in edtech, we've built AI systems that drive efficiency and innovation.
Qubika's expertise empowers organizations to successfully adopt AI and transform key business functions.
Get in touch with our experts to review your idea or product, and discuss options for the best approach
Get in touchProduct Design Solutions
Artificial Intelligence Services
Healthcare Solutions
AWS
Data
App Solutions
Platform engineering
Cybersecurity
SRE & Cloud Services
Quality Assurance
Blockchain
Databricks
Firmware & IoT Development
Product Management
Financial Services Technology
Insurance
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