Microsegment Engine : Creates a Microsegment data model which localizes and provides context to demand and supply
Q4Cast Forecast Engine : High Accuracy Interconnected Forecasting Engine for Demand , KPIs , Metrics, Cost, Revenue, Risk and all other associated metrics
Q4Sight : Multi-Dimensional and Interconnected Optimization Engine @ Enterprise Scale
Revenue Finder : AI Agent that can look within all microsegments to identify incremental revenue
Metric Mover : AI Agent that can move levers autonomously to deliver incremental revenue within microsegments (local action ) with global alignment
Aggregation Engine : AI Agent which can report at microsegment level or higher dimensional aggregates all the KPIs, Incremental Revenue Opportunities and Outcomes of Actions
Data Quality Engine : AI Agent which enforces data governance autonomously and self-heals
Data Federation Catalog : AI Agent for searching KPIs, metrics, outcomes , input drivers
Library : APIs for data and services for future scaling AI Agents
Our smart digital twins are driven by advanced analytics. They produce digital simulations of real world processes, using a unified generative AI based on deep learning.
Our digital twins feature dynamic dashboards, which showcase a combination of visuals that provide insights into personalized actions while aligning the whole organization. TensorQ is able to achieve this unique combination in outputs due to its sophisticated microsegment data model.
TensorQ digital twins have a rich combination of AI driving the best insights and BI presenting those insights. Our digital twins come with all the functionality needed to deliver a complete enterprise level with AI and BI together.
While most enterprise digital twins can take a long time to develop and deploy, QuadOptima has developed a breakthrough roadmap for the fastest deployment based on our integrated design that scales across enterprise functions and levels. We can help you get up and running within just a few months and scale it to the full enterprise in the shortest possible path. With TensorQ, the whole enterprise digital twin will be deployed in months rather than years.
