Public Sector

The public sector continues to modernize infrastructure to unlock the value of the data available to them. Bold investments in technology can help public sector leaders navigate broad and complex missions. As AI capabilities expand, organizations that have the foundation to operationalize complex algorithms and machine learning will be well-positioned. Public sector agencies that adopt active analytics stand to improve physical and digital security, respond effectively to urgent and quickly shifting situations, modernize operations, develop new digital services, and evolve to meet the needs of today’s citizens.



By aggregating and tracking data relevant to COVID-19 emergency response, we can combine current data such as hospital capacity and diversion status, locations of alternative medical sites, state-wide declarations, testing kit quantities, and protective equipment availability at a local level.


Model and visualize complex disaster risks to communities and critical infrastructure in real-time, enabling superior risk mitigation, planning, and response decisions.  Combine streaming, historical, and geospatial analytical capabilities at scale to prepare for activities ranging from evacuations to utility outages.

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Analyze streaming, historical, and geospatial data from vehicles and IoT devices at scale to optimize delivery operations and supply chains in real-time.

The United States Postal Service (USPS) enables Real-Time Route Optimization with Kinetica. 


Run real-time analysis and visualization on hundreds of streaming, historical, and geospatial data feeds to gain greater visibility into threats by land, sea, or air.

Apply AI and ML to power entity classification and identification in real-time and increase accuracy and efficiency of analysis by identifying abnormal patterns and behavior, flagging high-interest anomalies for review.

Provide analysts with new levels of insight into operational battlespace and an ability to interact with data in real-time, enabling ad hoc analytics based on text, time, location, and other criteria. 

Kinetica helps the San Francisco Estuary Institute find and clean up trash using GPU-accelerated analysis of drone imagery. 


Interactively analyze and visualize high-volume of streaming and historical network and log data to uncover anomalies, suspicious behavior, and trends. Apply location and graph analytics as well aas machine learning to find needle in-the-haystack cyber threats, highlighting anomalies that human analysts can respond to. Perform dynamic cyber threat analysis on streaming network traffic.


Apply trained models and AI to identify anomalous behavior and systemic patterns of tax evasion, healthcare fraud, and other potential abuse. Analyze historical data at scale and draw connections between various entities using graph analysis to identify fraudulent behavior. Combine datasets from public and private sources as well as across different departments like internal revenue, customs, and business registrations to improve efficiency and compliance.



Analyze real-time data from thousands of connected devices in buildings, public spaces, and on public transportation in order to make city operations safer and more efficient.

Unify smart city data analysis on a single, high-performance platform to improve city planning and development of new, data-driven public services.

Kinetica’s unique ability to stream high volumes of dynamic GPS observations and perform historical data exploration helps a smart city to conduct a scenario planning study for public transit using native graph and geospatial analytical capabilities.

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