DENVER, March 20, 2024 /PRNewswire/ — Causaility, LLC today announces the launch of its Denver-based headquarters and availability of Causaition™, a revolutionary Biomimetic AI Digital Twin Solution that enables healthcare, communications, financial services, and other organizations to explore knowledge hidden within their dark and disparate data.
Causaition solutions are built on biomimetic AI innovator RYLTI’s patent-pending RYAILITI Knowledge Engineering (RKE) Biomimetic AI Platform and Digital Twin Ecosystem. Causaition solutions uniquely reveal valuable insights from within dark data by discovering the unrealized nexus of connections, relationships, and interactions across data silos. The solutions provide real-world evidence of causality and complex realities in dark data. Leveraging dark data discovery also mitigates risk, increases operational efficiencies, and optimizes business processes. Causaition’s analytics provide decision-makers with real-world evidence to leverage internal knowledge and expertise for superior decision support.
Causaition’s digital twins empower continuous discovery and innovation. Capturing human expertise as a computable asset allows for the modeling of dynamic evidence-driven interactions, defining options and alternatives more precisely. The Causaition solution generates richer behavior insights while enhancing simulations, scenario planning, and decision-making.
“We are pleased to welcome Causaility as a platform partner. Causaition’s core solutions incorporate our transformative RYAILITI Knowledge Engineering (RKE) Biomimetic AI Platform and Digital Twin Ecosystem, which can dramatically accelerate discovery and uncover dark data discoveries with insights never-before-achievable,” said Peter Fiorillo, Co-founder and CEO of RYLTI.
“Causaition’s technology represents a paradigm shift, moving from obscuring reality by narrow technological constraints to discovering reality by applying real-world reasoning to real-world data,” said Kristi Furrer, Co-founder and COO of Causaility.
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