
Snowflake for Manufacturing.NexOps for Orchestration.
Leverage Snowflake's governed data foundation and Cortex AI capabilities with NexOps—delivering manufacturing-specific context and AI activation across every plant and function.
Intelligence for the Connected Factory
NexOps is the manufacturing orchestration layer built on Snowflake's AI Data Cloud. It unifies plant-floor and enterprise data, harmonizes KPIs, and transforms operational data into actionable intelligence across production, quality, maintenance, and supply chain.
By combining Snowflake's governed data foundation with Cortex AI, NexOps enables manufacturers to move from fragmented data and dashboards to predictive insights and AI-driven workflows at scale.
Functional Layers
NexOps unifies OT, IT, and enterprise data on Snowflake's AI Data Cloud — contextualizing operations, standardizing KPIs, and activating AI-powered orchestration across manufacturing.
AI-driven scheduling, capacity optimization, bottleneck detection
SPC, predictive quality, defect analytics, traceability
Predictive maintenance, anomaly detection, MTBF/MTTR insights
OEE, downtime analysis, loss tracking & root cause
Energy monitoring, carbon tracking, ESG dashboards
Digital work instructions, alerts, collaboration & escalation
One unifying layer. All manufacturing data. Infinite intelligence.
How NexOps Delivers Value
Manufacturing outcomes powered by Snowflake's AI Data Cloud and the NexOps Orchestration Layer.
Shopfloor, enterprise, and supply chain data converge on Snowflake's governed AI Data Cloud. NexOps contextualizes and operationalizes that data across production, quality, maintenance, and planning—creating a single source of manufacturing truth.
Enable secure data sharing across plants, suppliers, OEMs, and partners through Snowflake's native data-sharing capabilities. NexOps adds manufacturing context, role-based experiences, and operational workflows to drive action, not just visibility.
Snowflake Cortex brings AI directly to manufacturing data. NexOps applies that intelligence to detect anomalies, surface recommendations, identify root causes, and accelerate decision-making across the enterprise.
Built on Snowflake's scalable architecture, NexOps expands seamlessly across plants, regions, and business units. Governance, lineage, security, and manufacturing intelligence scale together without creating new data silos.
Why Snowflake + NexOpsfor Manufacturing
Leverage Snowflake's AI Data Cloud as the governed data foundation and NexOps as the manufacturing orchestration and intelligence layer.
AI-Ready Data Foundation
Unify OT, IT, ERP, MES, historians, quality, and supply chain data on Snowflake's AI Data Cloud. NexOps harmonizes KPIs and applies manufacturing context to create a single source of operational truth.
Secure Data Collaboration
Share trusted manufacturing data across plants, suppliers, OEMs, and partners using Snowflake Native Sharing and Marketplace. NexOps adds context, workflows, and experiences that drive action.
Cortex-Powered Intelligence
Bring AI to your manufacturing data with Snowflake Cortex. NexOps leverages Cortex AI, Snowpark, and LLMs to predict issues, surface recommendations, and orchestrate intelligent actions in real time.
Enterprise Scale, Zero Silos
Scale manufacturing intelligence across sites, lines, and business functions on Snowflake's elastic, multi-cloud platform. Governance, lineage, and security scale with your operations.
Our Engagement Model
Discover
Align business ambition and readiness; identify value levers.
Baseline
Establish a common performance language across plants and lines.
Prove
Start where impact is obvious; keep governance inline so results are repeatable.
Multiply
Share learnings across the network and partners to accelerate time to value.
Manufacturing Intelligence in Action
Predictive Maintenance with Snowflake Cortex + NexOps
Built on Snowflake's AI Data Cloud, NexOps continuously analyzes machine telemetry, maintenance history, and operational events to predict equipment failures before they occur. Using Cortex AI and manufacturing-specific intelligence models, maintenance teams can identify emerging risks, prioritize interventions, and reduce unplanned downtime across plants. Outcomes: Higher asset availability, reduced maintenance costs, and improved operational reliability.
Quality Intelligence Powered by Manufacturing Data
NexOps leverages Snowflake's scalable data platform to process high-volume sensor, inspection, and vibration data across production lines. By combining manufacturing context with AI-driven anomaly detection, teams can identify quality risks earlier, uncover root causes faster, and improve first-pass yield across operations. Outcomes: Reduced defects, lower rework costs, and more consistent product quality.
AI-Driven Planning & Scheduling
NexOps unifies ERP, MES, inventory, and supply chain data within Snowflake's governed data foundation to optimize production planning and resource allocation. By applying AI-driven forecasting, scenario modeling, and real-time operational constraints, manufacturers can dynamically adapt schedules and improve throughput. Outcomes: Increased capacity utilization, lower inventory costs, and more resilient manufacturing operations.