Data analytics and machine learning
We turn fragmented data into a unified, AI-ready foundation, so your business can run on one trusted source of truth and make decisions with speed and confidence.
is achieved from AI built on unified data foundations
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Certified engineering and trusted execution
Scalable infrastructure requires serious engineering depth. As certified Google Cloud and Microsoft partners, our team brings elite technical precision to every project. From Kubernetes security specialists to certified cloud data architects, we ensure your data core is engineered for absolute security and flawless performance under heavy load.
How we engineer data for scale and AI-readiness
Before any analysis happens, we fix the plumbing. We build robust, automated ETL/ELT pipelines that extract, clean and synchronize data from your disconnected legacy systems. By automating data preparation, we eliminate the manual "data wrangling" trap and ensure a continuous, high-speed flow of accurate data.
We consolidate isolated data lakes into a high-performance, scalable data core. Whether engineering on Microsoft Fabric, Google BigQuery, Databricks, Snowflake, or custom multi-cloud ecosystems, we design modern architectures that won't fracture under massive data loads. By eliminating legacy technical debt and optimizing cloud compute costs, we create a secure environment that natively supports both daily BI dashboards and tomorrow’s AI workloads.
Dashboards and future AI agents are useless if your departments are arguing over whose spreadsheet is right. We establish strict data governance to enforce a definitive Single Source of Truth. We deploy premium enterprise reporting environments where critical metrics like revenue, operational costs and resource allocation are perfectly aligned across the entire organization. We eliminate end of month reconciliation friction.
Once your data foundation is rock-solid, your business is officially AI-ready. We engineer custom machine learning models tailored for dynamic pricing, inventory optimization, and automated risk assessment. Through rigorous MLOps practices, we continuously monitor and retrain these models in your production environment to guarantee long-term forecasting accuracy and provide the secure, proprietary context needed for Agentic AI.
What our clients say about us
"Working with Zitec and Google has been a pioneering move for Romanian football. This solution changes how we leverage data to refine our strategies, enhance player development, and achieve meaningful outcomes, giving us a distinct edge and positioning us for success both today and in the long term."
Andrei Angelescu
Data & Insights Manager - FRF
Messy data? Let’s turn it into clarity.
When your teams rely on spreadsheets instead of a shared data foundation, decisions slow down and opportunities are missed. We help you unify your data, enforce governance, and unlock predictive capabilities that scale with your business.