From Data to Decisions
to Autonomous Action

NexOps is the single orchestration brain connecting OT, ET, human intelligence and AI agents across your entire manufacturing enterprise — from shopfloor signal to outcome-driven execution.

↓ DowntimeAI-predicted failures before breakdown
↑ Quality YieldVision AI + predictive quality upstream
< 0 DaysTime to measurable value
0 ClustersIntegrated intelligence capabilities

Value Drivers That Move the Needle

↓30%
Unplanned Downtime

AI-predicted equipment failures detected before breakdown. Maintenance shifts from reactive dispatch to autonomous reliability scheduling.

↑OTD
On-Time Delivery

Real-time schedule and supply orchestration. ERP write-back and MES resequencing triggered automatically when risk signals fire.

↑Yield
First-Time-Right Quality

Vision AI and predictive quality shift inspection upstream. Defects detected and contained before they reach end of line.

10×
Faster Decisions

The Agentic Decision Engine eliminates decision lag. Context-rich actions route at machine speed with zero manual handoffs.

ESG
Energy & Sustainability

SKU-level energy attribution and carbon tracking. Turn sustainability from a reporting burden into a real-time operational lever.

From Legacy Operations to Autonomous Intelligence

Every NexOps customer starts the same way — data, but no action. Here's the shift that changes everything.

Before NexOps
Siloed OT, IT, ERP, MES — no unified view
Manual quality inspection at end of line
Human bottlenecks in every critical decision loop
Breakdown response — technician dispatched after failure
Reactive dashboards explaining yesterday's performance
Pilot projects that prove value but never scale
Energy and ESG tracked manually in spreadsheets
With NexOps
Unified OT + IT intelligence on a single operational platform
Vision AI + predictive quality upstream — defects contained early
Agentic Decision Engine — decisions at machine speed
Predictive reliability — AI-detected failure before breakdown
Autonomous systems acting in real time — before issues escalate
Repeatable playbook deployed across lines, plants, and locations
Real-time energy monitoring with SKU-level carbon attribution

10 Integrated Capability Clusters

From data foundation to autonomous execution — every cluster is purpose-built for manufacturing, not adapted from generic technology stacks.

01

Intelligence Engine

Reactive dashboards → Autonomous decisions
  • TPM Agents for Production, Quality, and Maintenance
  • Conversational Manufacturing AI — ask your factory anything
  • Predictive analytics and AI-driven decision recommendations
  • Agentic orchestration across all business functions
02

Performance & Throughput

Not just measuring — actively improving
  • Real-time OEE intelligence and KPI command center
  • Bottleneck detection and throughput optimization
  • Cycle time analytics and machine performance tracking
  • Operator performance intelligence and shift comparison
03

Autonomous Maintenance

Breakdown response → Zero surprise downtime
  • AI-based anomaly detection and condition monitoring
  • Predictive maintenance with MTBF / MTTR intelligence
  • TPM Agent and Jishu Hozen enablement
  • Preventive and predictive maintenance scheduling
04

Quality Intelligence

Shift quality control upstream with AI foresight
  • Vision-based inspection and AI-based defect detection
  • Real-time quality monitoring and SPC control charts
  • OQA digitalization and digital quality inspection
  • Predictive quality analytics — catch defects before they form
05

Connected Factory / IIoT

Bridging legacy machines to AI-ready infrastructure
  • PLC / SCADA / MES integration with 250+ OT drivers
  • HMI and edge intelligence layer
  • Real-time production monitoring and shopfloor digitization
  • Digital SOP and work instructions for operators
06

Energy & ESG Intelligence

Traceability · Energy · Sustainability · Impact
  • Industrial energy monitoring and intensity analytics
  • SKU-level energy attribution per product run
  • Carbon and ESG tracking in real time
  • Energy efficiency optimization recommendations
07

Human-Centric Ops

Augmenting operators with real-time intelligence
  • Digital Kaizen enablement and continuous improvement
  • Skill matrix and operator intelligence dashboards
  • Digital escalation and smart alert routing
  • Role-based experiences for every manufacturing persona
08

Data Foundation

Structured data → Scalable AI readiness
  • 5M data collection framework (Man, Machine, Material, Method, Measurement)
  • SAP and ERP integration with event-based data model
  • Data Lakehouse architecture on unified AI Data Cloud
  • Governance, master data control, and secure role-based access
09

Digital Twin

Simulate risk before it impacts production
  • Digital twin of machine, line, and full plant
  • Advanced planning and dynamic rescheduling
  • What-if scenario modeling for capacity and supply decisions
10

Autonomous Control

From alerting → to autonomous response
  • Smart alerts and escalation engine with contextual routing
  • AI-driven root cause analysis
  • Closed-loop response — outcomes feed back to improve models
  • ERP write-back and MES resequencing without manual intervention

Built for Every Manufacturing Leader

NexOps delivers role-aware experiences — each persona sees exactly the intelligence they need, in the context they act in.

Plant ManagerMulti-plant visibilityHover to explore →
Plant Manager
  • Multi-plant KPI dashboards
  • Capacity and risk alerts
  • Cross-plant benchmarking
  • Executive-ready summaries
Operations HeadLine performanceHover to explore →
Operations Head
  • Real-time OEE tracking
  • Throughput optimization
  • Bottleneck resolution
  • Shift comparison analysis
Quality EngineerDefect preventionHover to explore →
Quality Engineer
  • Defect trends and SPC charts
  • Root cause AI analysis
  • Vision inspection feeds
  • Predictive quality alerts
Maintenance LeadZero surprise downtimeHover to explore →
Maintenance Lead
  • Predictive failure alerts
  • MTBF / MTTR dashboards
  • Asset health scoring
  • Autonomous work orders
Supply Chain ManagerSupply resilienceHover to explore →
Supply Chain Manager
  • Inventory risk detection
  • Supplier alert automation
  • On-time delivery tracking
  • Real-time resequencing