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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 leadership team combines experienced founders and operators with deep expertise in AI, data security, and compliance, building DAIS as the foundation for secure, governed AI adoption. Security and control are built into every layer by design.
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Matt Meehan
Chief Executive Officer & Co-Founder

Matt is an accomplished technology executive and investor with deep experience across B2B SaaS, fintech, payments, and data security. He has a proven track record of scaling companies from early stage to exit and partnering with private equity on M&A from pipeline through integration. At DAIS, he leads the development of a secure enterprise platform that enables governed AI adoption in regulated industries.

Ron Johnson
Chief Technology Officer & Co-Founder

Ron is a results-driven engineering leader specializing in development, infrastructure, large-scale system design, and enterprise AI deployment. He builds scalable, secure, serverless architectures that reduce costs and accelerate time to market, delivering and operating production-grade AI systems at scale.

Jerald Dawkins
Chief Innovation Officer & Co-Founder

Jerald is a security technology expert with a Ph.D. and four patents in cryptography. He has led multiple successful exits of security platforms and is focused on redefining security for AI-driven enterprises, with an emphasis on LLM security, compliance, access control, and data protection.

Trebor Worthen
Director of Strategic Initiatives & Co-Founder

Trebor is a strategic executive with experience spanning across corporate leadership, public service, and government contracting. He specializes in client strategy, enterprise acquisition, and strategic relationships, securing anchor clients and structuring high-value deals.

Courtney Carter
Chief of Staff

Courtney is a strategic leader and partner to executive teams, leading initiatives that enable scale and operational excellence. She specializes in talent acquisition, team development, and organizational alignment, with a strong focus on people and culture. She is passionate about driving transformative change and building high-performance teams that foster a learning and growth mindset.

Rachel Arndt
Vice President of Finance

Rachel is a finance and accounting leader with experience scaling high-growth tech startups. She specializes in financial strategy, FP&A, accounting, and fundraising, building scalable processes and driving operational efficiency to create long-term value. She partners closely with executive teams to enable data-driven decision-making and sustained performance.

Jeff Smith
Chief Marketing Officer

Jeff is a strategic marketing and go-to-market leader focused on scaling revenue and building category leadership. He leads positioning, demand generation, and revenue growth through high-performing marketing engines. His experience spans acquisition, conversion, and retention across diverse customer segments and industries.

Matt Ryklin
Vice President of Solutions & Growth

Matt is a technology leader with experience spanning AI partnerships, solutions engineering, and product management. He combines deep technical expertise with commercial acumen to lead AI initiatives, forge strategic partnerships, and deliver customer-centric solutions that drive growth and scale enterprise adoption.

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.