How to Build an AI Agent with L…
When implementing LLM solutions for enterprise, one of the biggest challenges is enabling AI models to access real-time data and execute actions. The…
We productionize machine learning end to end — CI/CD/CT/CM pipelines, automated retraining, model serving and safe rollouts (canary, blue-green, A/B), with continuous monitoring for drift in production.
Trustworthy data is the foundation of every model. We apply DataOps practices to build governed Lakehouse architectures on Delta Lake — reliable ingestion, declarative pipelines, automated quality testing and Unity Catalog governance.
From exploratory analysis and predictive models to recommendations, computer vision and Generative AI assistants — every project run as a tracked, reproducible experiment in MLflow.
We stand up the platform that lets your teams ship ML safely: dev/staging/prod separation, CI/CD foundations and infrastructure described as code with Databricks Asset Bundles and MLOps Stacks.
Qwertee is an MLOps and DataOps company headquartered in Cluj-Napoca (Romania). Since 2017 we have helped teams move beyond proof-of-concept models to reliable, production-grade AI. Our expertise spans the full machine learning lifecycle — from Lakehouse data foundations and data science through to CI/CD/CT/CM automation, model serving and monitoring on Databricks and the cloud.
Our team is made of seasoned engineers accustomed to corporate environments, but also to startup philosophy and with a core interest in science and technology.
We cover the full machine learning and data lifecycle — from DataOps-driven Lakehouse foundations and experimentation to automated training, serving, monitoring and the platform that ties it all together.
Ignilife is a digital preventive healthcare platform. We wished to accelerate our roadmap in order to deploy faster our B2B service infrastructure to market. To succeed, we chose to outsource part of our development. We decided to work with Qwertee for the quality of the team and their reactivity. After already four completed sprints, I can testify that we are fully satisfied with the quality level of the development and the deadline compliance. Qwertee became very quickly a reliable partner with whom we wish to continue the relationship.
We consult with you, discuss all outcomes for your projects. We propose enhancements to your existing data infrastructure. We build production-ready data-intensive solutions
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