Our AI-driven analytics platform can be easily customized to match client requirements in Intelligent Process Automation (IPA), Anomaly Detection, and Automated Analytics.
We pragmatically blend rule-based data processing and Machine Learning (ML) to fully automate clients’ data-centric business processes, incl., custom pricing, end-users’ requests processing (e.g., insurance claims), or compliance (e.g., expense appraisal).
For our clients, this results in reduced cost for these processes, while at the same time often improving accuracy vs. their current setup.
We use advanced anomaly detection to automatically spot unusual patterns in both financial and operational data, e.g., to improve compliance, prevent fraud, or optimize operational processes such as factory floor operations.
For our clients, this results in reduced operational risk, even in changing and adversarial business conditions.
We employ methods adapted from probabilistic reasoning and procedural generation to fully automate the data analysis process, end-to-end from tabular raw data to presentation-ready management slides.
This helps our clients, to bridge the gap between data science and business decision makers, and more quickly discover and act upon strategically critical insights in their data.
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