Bringing together data science, machine learning, and blockchain solutions to solve critical problems in the security industry

The Core Convergence Solution

Core Convergence uses a combined team approach that comprehensively addresses corporate needs and combines a full suite of services to create products that utilize security, data science, Machine Learning, and blockchain components. With this methodology we have been able to successfully improve enterprise systems and maximize that success by taking a structural view of the company across each of these verticals.

Consulting at the Cutting Edge

Core Convergence addresses the needs of the enterprise, security, and blockchain ecosystems to create the tooling necessary to solve these problems at machine speed.

Our Services

We specialize in corporate transformations. We build systems to help your company shift to data-driven decisionmaking models using Machine Learning, Artificial Intelligence, and Data Science.

Technological innovation through automation has changed the decisionmaking landscape of many industries and companies. Where leaders could once understand their industry from static processes and historical data, we have now entered an era in which companies must adapt and change to keep up with rapidly changing industry innovation.

It isn't always easy to inform strategic decisions-- going from static processes arbitrated by humans, to dynamic, ever improving, adaptable loops that iterate and improve on themselves over time is complex. However, change has become constant and never ending, and improvement must now also be just as dynamic.

That's where Core Convergence comes in.

Our Methodology

Understanding Our Customers Understanding Our Customers
Our team of consultants starts by assessing what each individual client is currently doing and why they’re doing it that way. We understand leadership and team goals, and assess where the combination of technologies and processes should change.
Building Iterative Loops Building Iterative Loops
We redefine each client’s static processes as dynamic discovery loops. We use standard models from the data science world (such as OODA and OSEM loops) that we have adapted for this purpose. We begin with generic discovery loop models and refine them to more accurately and effectively solve client problems. We test our model and gather data to see where it can be made better. From this information, we then create much more specific, tailored, and tuned models to solve client issues.
Deployment Deployment
We train company staff to constantly assessing these iterative loops, and help teams adapt to whatever the challenges of the company may be. We hire and train staff with constant improvement in mind, and we structure and define political and management systems within the company that support and encourage dynamic feedback and adaptation.