dais - Enterprise AI. Governed. Observable. Reliable.

We start with how work actually gets done, then design systems that makes it faster, more reliable, and easier to manage at scale.

Leadership

Our team of multiple exit founders combines expertise in ai, data security, and compliance, embedding robust protections into every layer of dais. Unlike other platforms, we make security the foundation, not an afterthought.

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Ron Johnson

CTO

Veteran engineering leader with development, infrastructure, and large system design expertise. Most recently ran teams delivering and managing deployment of secure AI solutions for Fortune 500 clients of AWS.

Matt Meehan

Chief Executive Officer

Seasoned technology executive with extensive experience scaling B2B SaaS companies in fintech, payment technology, and data security to successful exits. Relentlessly focused on GTM design and internal resource allocation.

Jerald Dawkins

Chief Innovation Officer

Dr. Jerald Dawkins is a renowned security technology expert and entrepreneur with a Ph.D. and four patents in cryptography; his innovative vision has resulted in multiple successful exits of security based technology platforms.

Trebor Worthen

Director of Strategic Initiatives

Worthen is a dais co-founder and successful investor with a broad range of experience in corporate leadership, public service, and government contracting.

Our Story Began

dais was created in response to a practical problem its founders encountered repeatedly. As enterprise security leaders and AI practitioners, they saw organizations under increasing pressure to adopt AI, yet unable to move beyond limited trials. The obstacle was not the intelligence of the models, but the lack of a reliable environment to operate them—one that could support governance, cost control, and change without constant rework.

Most AI initiatives failed when they reached real operations. Systems were built too narrowly, costs became difficult to explain, and workflows broke as requirements evolved. What was missing was not another tool, but a stable execution platform designed for long-term use.DAIS was built to provide that platform. It enables organizations to deploy AI workflows quickly, operate them with oversight and accountability, and adapt as models and priorities change. By focusing on execution and outcomes rather than experimentation.

dais allows firms to apply AI where it produces measurable results—saving time, reducing cost, and improving operational reliability in environments where consistency and control matter.

Today

dais today is a production-ready execution platform designed to solve specific, high-impact operational problems for institutions that require reliability and control. We are focused on deploying proven workflows that deliver measurable results in hedge funds and accounting firms, while continuing to strengthen the platform’s governance, observability, and adaptability.