Case Studies
38 Years of Building and Shipping
Real projects, real outcomes, real impact. A track record of building technology that solves difficult problems at scale.
Our Projects
Built 24/7 mission-critical incident reporting and tracking systems deployed across major Las Vegas and Macau casino properties.
The platform handled real-time surveillance integration, player tracking, and compliance reporting. Systems had to work perfectly around the clock since casinos never close.
Key challenges included millisecond response times for security alerts, complex regulatory compliance requirements, and integration with legacy surveillance systems.
Led the innovation lab developing next-generation security solutions including facial recognition systems for high-traffic venues.
Built the technology from prototype to production-ready product, addressing real-world challenges like variable lighting, large databases, and sub-second matching requirements.
The system was deployed at major venues requiring identification of individuals in real-time across thousands of camera feeds.
Founded and built an AI analytics platform that shows companies how their operations actually run, from their own system data.
The platform uses machine learning to identify patterns, bottlenecks, and optimization opportunities that manual analysis would miss.
Built from initial concept to production, growing both the technology and the team. Still running it today.
Developed and refined the CenCon Method for agentic development, shipping work that previously required a team of five to ten developers on the same schedule.
The methodology combines AI-assisted coding with documentation-first practices and automated security verification.
Currently applying this approach to client projects and training development teams to achieve similar results.
The Pattern
Looking across these projects, consistent themes emerge.
Difficult Problems
Every project involved challenges that did not have obvious solutions. Real-time systems, AI at scale, regulatory compliance - the work that matters is rarely straightforward.
Production Reality
These are not research projects or proofs of concept. Every system was built to work in production, with real users, real data, and real consequences for failure.
Measurable Outcomes
Two acquisitions represent concrete validation that the technology and approach deliver value. Speed improvements are measured, not claimed.
Your Project Could Be Next
Bring this experience to your challenges.