CRSTBL’s vision is a business ecosystem in which practical AI enables information to move easily between organizations, platforms, and people—creating pervasive understanding, simpler integration, and better decision-making. Our mission is to build accessible, scalable AI applications that help businesses of every size publish, share, and apply information with greater accuracy and efficiency, allowing each participant—and the broader ecosystem—to benefit.
With more than 35 years in software engineering and technical architecture and over 20 years applying AI and machine learning to production systems, James leads the development of CRSTBL’s technology platform. His experience includes building scalable enterprise infrastructure, leading distributed engineering teams, and designing high-availability systems serving hundreds of millions of users. At CRSTBL, James is responsible for creating the secure, interoperable technology stack required to make practical AI applications easy to implement, dependable under real-world demands, and scalable across small, midsize, and large enterprises.
LinkedIn profileJohn brings more than 30 years of experience as a business owner and C-level operator, connecting CRSTBL’s technical capabilities to the practical needs of its users. Having operated businesses ranging from $1 million to $200 million in revenue, he guides product strategy around ease of use, measurable productivity, and commercial value. John advocates for incremental deployment combined with long-term interoperability, enabling businesses to adopt AI at a manageable pace while ensuring their technology investments remain useful as their operations and the broader business ecosystem evolve.
LinkedIn profileCRSTBL helps businesses turn menus, products, services, documents, locations, and sales knowledge into AI-powered conversations customers can use in real time.
Local businesses use CRSTBL to answer customer questions, capture intent, and improve website conversion without adding staff or technical complexity.
Enterprise customers use CRSTBL to connect conversations across locations, catalogs, menus, distributors, and customer segments — revealing demand patterns, information gaps, and business intelligence.
CRSTBL is built by operators and technologists focused on practical AI systems — fast to deploy, easy to maintain, and tied to measurable customer interactions.
The SEO-to-AEO transition requires rebuilding your technology infrastructure — not just new tactics with the same tech stack.
After mapping the competitive landscape across 20+ vendors in conversational AI and AI discovery, we’ve identified the 8 functional layers that make up the emerging AEO tech stack. The gap in the market sits at the intersection of structured business data, customer conversation, and intent intelligence. That is the chasm we built CRSTBL to occupy.
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