Leverage the full potential of Artificial Intelligence

Understand and manage the risks lurking in models – avoiding potentially dire consequences. Guardian detects and measures bias at the common sources of error – raw data, training set, and model algorithms.

Explainable AI. Regulators demand that machine learning models be explainable. GDPR additionally sets the obligation to explain. Bring transparency to your black-box AI, for yourselves and the regulator.

A Python library and accompanying graphical user interface designed to automatically detect mislabeled data (image data, text data) used to train deep neural networks, providing a critical quality assurance measure for deep learning.

A sophisticated time-series forecasting tool, allowing comparison between several AI and classical techniques and providing a scenario manager to compare and contrast multiple forecasts built on varying assumptions.

Discover anomalies – complex, contextual outliers - within your data that may be adversely affecting your analyses. Or worse, they may be signs of deviant process, or even client behavior.

A platform enabling intelligent data discovery, profiling and identifying fields / variables containing similar / same information within a table or across multiple data tables.

Digitize documents! TableMiner extracts facts and figures out of pdf-documents, whether e-documents or “dirty scans” and reproducing them in spreadsheet or JSON file formats. Free teams to work smarter.

Double the productivity of your data scientists. Roughly 50% of their time is spent on time-consuming value tasks, preparing data, hunting for the most highly predictive features. DNAi automates that.

Smart Cities. Automatically assess damage to road infrastructure, assigning “health” scores and identifying those in need of repair. RoadRunner enables municipalities to schedule roadworks effectively – saving time, money, and inconvenience to the public.