Gain insight. Lower costs. Improve time to market.

Rapidly build and deploy intelligent enterprise-grade applications combining cloud computing, xPatterns intelligence and your legacy IT and solutions, on an open and secure platform that learns.

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Leverage 21st Century patented algorithmic approaches and advanced technologies that reason and self-discover intelligence across silos of data in real-time.

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Atigeo Solutions

Combine cloud computing and your legacy IT on an open, secure platform that learns.

xPatterns for evidence-based medicine, clinical decision support, drug discovery for complex diseases, operational and financial process automation.

Micro-grid control, inductive modeling and grid optimization.

Extract intelligence from all types of data in real-time and at scale for contextual understanding from a group or individual perspective.

Analyze disparate, heterogeneous and asynchronous streams of big data in real-time to estimate returns and risks more accurately.

xPatterns is cloud-based, exceedingly scalable, and readily interfaces with existing IT systems. It can act as a virtual abstraction layer and extract value from both legacy and new technologies immediately extending the life, value, and intelligence of an ecosystem.


Hybrid Analytics

A family of algorithmic approaches that are intelligently self-learning, and are applied contextually depending on real-time, dynamic changes in data and business needs.

  • Reveals patterns in unstructured text

  • Extract facts from natural language text

  • Dynamic training and self learning

  • Real-time prediction and relevance
  • Real-time evaluation for millions of rules

  • Distributed architecture that scales

xPatterns “Hybrid Analytics” is a proprietary family of algorithmic approaches that apply the right tool for the right job. xPatterns automatically orchestrates the best combination of algorithms depending on contextual need, and in relation to dynamic changes in the data. This gives you access to machine learning, natural language processing, inference, relevance, neural networks, topic modeling, data mining, prediction, and optimization, all dynamically applied.

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