AngryLynx doo Novi Sad

AngryLynx doo is a Serbian software and data engineering company that develops custom AI-driven software solutions. Headquartered in Serbia, the company brings together mathematicians, cloud engineers, and software developers to deliver software, data platforms and analytics for commercial clients. Client work and case descriptions indicate engagement across multiple industries including healthcare, finance, retail and ecommerce, telecommunications and manufacturing.

Services and Capabilities

• Custom AI and machine learning development — design, training and deployment of models such as classification, regression, clustering, recommendation systems, anomaly detection, computer vision and natural language processing.
• Data engineering and analytics pipelines — data collection, cleaning, preparation, exploratory data analysis, ETL processes, business intelligence dashboards and automated reporting.
• Cloud infrastructure and MLOps — architecture and implementation of secure, scalable cloud environments, model deployment, monitoring and operationalisation of ML systems.
• Software and product development — development of prototypes, MVPs and production web or embedded application frontends and backends with full-code implementations.
• Outstaffing and team augmentation — provision of individual data, math or engineering experts and short-term teams to support client delivery.
• Systems integration — integration of ML models and analytics with existing client systems and ecommerce platforms.

Industry Focus

• Healthcare — data processing and analytics, privacy-aware model deployment consistent with healthcare data requirements.
• Finance — predictive modeling, risk and decision-support analytics.
• Retail and ecommerce — custom webshop and enterprise ecommerce implementations, recommendation and churn-analysis models, user segmentation and performance tracking.
• Telecommunications and manufacturing — data collection from embedded systems, frontend solutions for device data capture and analytics pipelines for operational insights.

Technology and Delivery Approach

Technical work commonly combines data engineering, model development, cloud deployment and integration. Deliverables include data pipelines, trained ML models, production deployments, APIs and BI reports. Security and compliance practices are applied to data storage and processing, with references to GDPR and HIPAA as standards followed for privacy and protection. Typical engagement steps documented in company materials include initial consultation, scoping and technical strategy, team mobilisation and execution, followed by ongoing optimisation and monitoring. The company also documents timeframes for outstaffing, stating availability of dedicated experts or teams within a two-week period.