AI-Driven SAS

Operationalizing Advanced Analytics

It's not enough to provide our customers the best insight or business intelligence available. Our immediate next step is to advise them how to 'operationalize' the insight gained from the analytics. 

AI-powered Data Analytics

We support NRO, NGA, UAV and satellite collection and analysis. Our innovation includes recent partnership with Oracle, Digital Earth and NOAH to dramatically enhance real-time analysis of North Korean military movements.

Financial Analytics

Our software and search innovation has helped the Colombian government pressure terrorist group FARC into a peace treaty, and supported French and Spanish arrests in those nations.

Dashboards and Analysis

A good front-end dashboard such as Adaptive Analytics or Tableau lets customers spend more time analyzing performance, not managing manual data entry and collection.

Salesforce and Customer Analytics

We are a huge fan of Einstein Discovery (Salesforce) to automatically analyze millions of rows of data in minutes to understand what’s happening and what to do next.

Case Studies

AI-Driven Data Analytics

This unclassified, historical diagram (courtesy of USAR), shows us an astonishing paradigm shift: for a tiny rogue nation that started so far behind the "Big Dogs," North Korea made lightening fast strides to come from behind the pack and dominate (terrorize) the world nuclear arena in just two years. These are the typs of key trends and paradigm shifts our OSINT and IC (Intelligence) communities must be able to detect and monitor, through advanced analytics of a host of seemingly unrelated world trends: everything from who's buying Trimble cards to what RFID or vegetation / ground cover changes we detect.


Product Innovation and Safety Analysis

Recent work includes supporting innovation design and software monetization for Volvo Motors, and analysis and elevation of product defects at the request of Ford Motors and NTSB in Washington.


Social Data Insights and Governance

Social data not only tells brands insights related to purchasing preferences, but also shows brands what customers value.