Real-time Data
Easily visualize real-time data from disparate information segments by aggregating and displaying multiple data models on one centralized platform
Predictive Analytics
Our platform allows users to visualize out of sample, forecasted spatial and temporal filters, through the click of a button
AI-enabled Recommendations
Harnessing our state of the art decision-making tools, our platform aims to help organizations achieve logistics and/or resource optimization goals
About us
Apex Analytica aims to develop a crisis-analytics platform with the ultimate goal of helping organizations achieve logistics and/or resource optimization goals for products vital in aiding incident management for pandemics, natural disasters, and conflict regions.
Utilizing the ensemble technique, we allow users to combine the results of multiple forecasting models all in one dashboard, allowing otherwise disparate information segments to be seen as easily visualized data, breaking through current barriers facing incident management: detection and preparedness. Thus, our platform is imperative for users who rely on crisis data to elicit an incident management response, whether the response is to inform policy decisions or to optimize distribution strategies in order to be more efficient.
OUR Solutions
At Apex, our three-layer platform balances both epidemiological and economical considerations to address incident management pain points that still need a long-term, data-driven, solution
Layer 01: Reporting
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Connect to a comprehensive set of data partners and APIs that alleviate fragmented reporting mechanisms
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Dynamic and customizable heatmaps go beyond tools currently available in the market (COVID Project, Johns Hopkins)
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Provides current topology and spread dynamics
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Filter/study spread dynamics by specific localities and time frames
Layer 02: Forecasting
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Provide disparate forecasting and epidemiology modeling
- Apply inferential statistics and complex ML models to analyze and forecast
- Choose from a variety of spatial epidemiological models and projects
- Provide maximum optionality of predictive models that user can access (Information Reduction & Space ML)
Layer 03: Recommending
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User oriented interface - input selection and specification for specific project needs (randomized control trials vs. PPE redistribution)
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Multi-level network analysis - association rules and content-based filters for users to engage with
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Provides the user with optimal distribution pathways in the form of interactive visualizations and intuitive overlay
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