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AtScale, the leader in governed universal semantic layer technology, today announced the appointment of Jay Schuren as President. Schuren, previously Chief Revenue Officer at DataRobot, joins to lead global go-to-market, operations, and AI innovation. His appointment signals AtScale’s evolution from enabling AI experimentation to powering trusted, production-grade AI deployments, where the semantic layer serves as essential infrastructure for autonomous agents to operate reliably and accurately.
Organizations deploying powerful reasoning engines encounter a critical bottleneck known as the “Context Challenge.” While LLMs provide strong reasoning capabilities and external web context is readily available, accurate internal context from proprietary enterprise data remains inconsistent. LLMs often misinterpret table structures, fail to reconcile data across disparate systems and databases, and struggle with time-based logic, leading to inaccurate, inconsistent results without proper auditability. AtScale resolves this by delivering governed “Internal Context”—a single source of truth for business metrics that ensures AI agents interpret and execute against consistent, enterprise-defined logic.
“I have watched dozens of organizations attempt to ‘talk to their data,’ only to find that LLMs were never trained on the nuance of their corporate strategy,” said Jay Schuren, President of AtScale. “The problem isn’t the model; it’s the missing context. If an AI agent calculates Gross Dollar Retention differently than your CFO, ignoring caveats or time shifts, it isn’t just wrong; it’s dangerous to the business. To have real enterprise impact, agents need a semantic layer to ensure that ‘Product Usage’ means the same thing to the LLM as it does to the engineering team. AtScale provides that guaranteed translation.”
Schuren’s extensive experience aligning technical teams with executive stakeholders positions him ideally to advance AtScale’s mission of enabling AI models and business leaders to operate from the same precise definitions. The governed semantic layer centralizes business metrics, enforces consistency across AI agents, analytical tools, and BI platforms, and optimizes query performance while controlling compute costs.
This architecture supports enterprises transitioning from experimental AI to operational, agentic workflows where reliability, governance, and auditability are non-negotiable.
"Jay has built and led global organizations through major AI platform shifts before," said Chris Lynch, Executive Chairman and CEO at AtScale. "He understands how companies move from early adoption to operational standard. That experience is critical as customers begin treating semantic layers as required infrastructure rather than optional tooling."
Under Schuren’s leadership, AtScale will accelerate adoption of its Semantic Modeling Language (SML) and contribute to open standards such as the Model Context Protocol (MCP), enabling AI systems to execute against trusted business logic rather than approximations.
About AtScale
AtScale provides the governed semantic layer that serves as the business context foundation for enterprise AI and analytics. Organizations define business logic once and deliver it consistently across AI agents, analytical applications, and BI tools. By centralizing metrics, enforcing governance, and optimizing query performance, AtScale enables accurate analysis, controls compute cost, and prevents semantic drift across modern data platforms.
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