Corvic Inc. emerges from stealth mode with $12 million in seed funding and technologies that it says reshape how enterprises leverage complex data for Gen AI. Corvic said its infrastructure intelligently orchestrates multistep advanced analytics to deliver accurate and explainable answers across complex enterprise data. It uses proprietary data processing architectures called Mixture of Spaces and Adaptive Chain of Actions to represent data. Mixture of Spaces integrates multiple data types such as text, tabular data, images and time-series data into “spaces,” each with its own structure, semantics and processing tools. It navigates Spaces by applying format-aware techniques that extract useful information without forcing data into a single mold, such as text. Adaptive Chain of Actions is an orchestration engine that builds dynamic reasoning workflows based on a query and the available data spaces. Rather than relying on static prompts or rules, it adapts in real-time to the intent, data context and required logic path, dynamically composing the right combination of tools and spaces needed to fulfill each request. Corvic said its approach enhances data fidelity and integration to dramatically increase the quality of AI performance. It unites a fragmented AI landscape that typically includes tools such as vector databases, retrieval-augmented generation, graph AI, and generative models operating in isolation. Corvic AI’s Cognitive Infrastructure unifies siloed capabilities into a single reasoning system that eliminates inefficiencies and adapts to changing data environments. It connects to existing enterprise data ecosystems to improve AI training without disrupting existing workflows. “Customers that were getting maximum accuracies of 60% now getting a 30% higher level of accuracy,” Chief Executive Farshid Sabet said.