Industrial operators, systems integrators and OT teams at heavy-industry sites are stuck wiring modern analytics and control stacks to hundreds of different PLCs and decades of inconsistent telemetry schemas; the result is weeks of manual register-mapping, brittle point-to-point integrations, and lost visibility that directly impacts uptime and costs. With roughly 100,000 industrial sites globally spending an estimated $400,000 per site annually on operational software and integration, these are high-value, high-friction buying decisions often led by small OT teams facing rapid workforce turnover as senior engineers retire. The product would be an opinionated developer platform that runs on-site with optional hybrid cloud control: lightweight edge agents for Modbus/OPC-UA/Siemens S7 and others, an AI-assisted data-engineering layer that proposes and validates register mappings into curated schemas, and a developer SDK plus prebuilt templates for the top 20 PLC vendors to reduce first-install time. Key features would include low-latency inference and preprocessing on the device to avoid cloud dependence, versioned schemas and lineage for audits, and a mapping UI that lets a junior engineer safely inherit work from retirees. This market is attractive now because edge compute is mature enough to deliver predictable latency and AI-assisted tools can cut manual integration time by orders of magnitude, within a $40.0B annual addressable market. The idea’s strengths are clear: large TAM, measurable ROI at $400K/site, and defensibility via deep protocol support and codified integration patterns; the main challenges are long OT procurement cycles, certification and security requirements, and the engineering effort to maintain compatibility across hundreds of legacy variants.