We are a catalyst for innovation. We partner with companies, both early stage and long-established to deliver customized, agile and scalable machine learning systems to help organizations realize value from the large, complex data sets.
Our approach is to start with tractable processes and deliverables then quickly iterrate toward practical products. We focus on providing rapid, measurable and scalable business value in close colalboration with our partners.
Earnest colalboration begins with listening. Every venture has unique aspirations and constraints. We prioritze understanding these. Our average 20+ years of experience with a wide array of methodologies, data, compute and infrastructure technologies enables us to synthesize innovative, practical and performant solutions.
Predictive Analytics
Enterprise Knowledge Graphs
Natural Language Processing
Neural Networks and Neep Learning
Complex Adaptive Systems
Classification, Clustering and Regression
Banking, Finance an Markets
Regualtory Infrastructure
Real Estate
Fraud and "Bad-actor" Intelligence
Healthcare
Modern Encryption
Cloud Computing (AWS, Azure)
PyTorch, MXNet, Tensorflow
SQL, No-SQL and Graph Databases
C++, Node.js, Go, Assembly
Python, SAS, R
SQL, Sparql and Gremlin
Potentially powerful data goes unused because it comes from many sources in different and inconsistent formats. For example, it is a challenge to automate analysis of open-ended textual data.
“Big data” overwhelms human understanding. There is too much data to efficiently sift through manually or with existing business logic.
The lag time between data collection and informed decisions negatively impacts the mission.
Knowledge is power, but current processes are too costly, slow and cumbersome to deliver actionable decision-making and insights.
Manual processes increase administrative tasks and reduce time spent on mission-focused work.
Machine learning experts are in high demand. It is a challenge to find experts with the required skill sets and experiences.
Washington, DC