Data Machines Corp. (DMC) is a small business which specializes in designing, building, and using cloud architectures to engineer and share solutions to difficult problems in data analytics, dev-ops, machine intelligence, and data science.
DMC is developing new data architecture technologies as part of eight unique and challenging DARPA research programs where our systems and code are used daily by over 2,500 researchers, data scientists, and research transition partners.
DMC maintains a library of higher math based Cyber and Network Defense big data analytics tailored to detecting APT and complex cyber threats. This portfolio is comprised of code paired with white-papers which explain it's application, strengths, and weaknesses.
DMC maintains libraries of code and techniques for scalable data enrichment, transformation, and analysis (computer vision, filters, tagging, tokenization, summarization, matrix completion, missing value inference, principal component analysis, prediction, ...etc). We use these libraries to conduct Exploratory Data Analysis (EDA) on customer data sets, internal and external training, as well as improvement of our own technical solutions.
DMC maintains a suite of tools and techniques for managing architectures and data. Examples of our tool capabilities including utilities for securely managing global Internet of Things communication and orchestration, data transport, architecture deployment, application security, identity management, and data security.
DMC is skilled at taking cutting edge machine learning and artificial intelligence code and engineering scalable production deployment and operations strategies for them. We bring extensive experience and first-hand knowledge of using the latest tools in production systems to ensure project success. We have worked with everything from robust production ready code to brittle research code.
DMC has a structured approach to securing scaled production deployments of cutting edge software. We are experienced at meeting security and compliance goals by making appropriate and documented risk decisions while maintaining the maximum possible functionality and performance of cutting edge machine learning and artificial intelligence code.
DMC has extensive experience working with broad research teams comprised of government, industry, and academia to do white-label transition of important technologies to make meaningful impacts on challenges such as threat-finance, human trafficking, cyber security, decision support, healthcare, investing, litigation, and more.
Access our Open Source Code on GitHub.