31M
shop-floor events ingested daily
icrewsystems&themanufacturingindustry
Manufacturing systems that connect the shop floor to decisions.
We integrate OT, MES, and enterprise data so plants run with real-time visibility and predictable outcomes.
Built for teams running fleets, plants, and multi-site operations.
- OT and IT convergence with secure connectivity
- MES, ERP, and line telemetry in one operational layer
- AI for quality, maintenance, and production planning
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Telemetry clarity before decisions
Unify GPS, edge signals, and incident context so teams act on one trusted stream.
-49%
faster production issue response
-26%
unplanned downtime reduction
98%
line visibility coverage
Intelligence where operations stall
Use AI scoring and triage to move from noisy events to prioritized, accountable action.
Execution systems that hold under load
Runbooks, escalation standards, and KPI governance keep outcomes stable across sites.
Where automotive teams get blocked
PLCs and MES data never reach the teams who need operational decisions.
Quality issues are detected late because signals are not unified.
Maintenance is reactive because telemetry is not tied to planning systems.
Systems built for automotive operations
Engineering Systems
Systems that connect vehicles, infrastructure, and data.
- OT gateways and secure plant connectivity
- MES and ERP integration with event pipelines
- Robotics and line equipment interfaces
- Edge processing for latency-sensitive workloads
Intelligence & Automation
Decision layers built on operational data.
- Visual and sensor-based quality inspection
- Predictive maintenance from equipment telemetry
- Production scheduling and bottleneck forecasting
- Anomaly detection across line and batch data
Operational Systems
Execution systems that teams actually run on.
- OEE and throughput dashboards for plants
- Digital runbooks for line and maintenance teams
- Rollout frameworks for multi-site programs
Plant operations & telemetry hub
Siloed OT and IT systems block real-time production decisions.
System
Unified shop-floor ingestion, MES workflows, and AI-assisted ops for multi-line plants.
Impact
- 49% faster issue response on the line
- 26% reduction in unplanned downtime
- Near-complete line visibility
Representative system patterns
System patterns we have built across automotive operations.
Problem
Line stoppage visibility
System
Real-time OT event streams with alerting
Impact
→ 47% faster root-cause identification
Problem
Quality escape detection
System
Sensor and vision pipelines with scoring
Impact
→ 34% fewer downstream defects
Problem
Maintenance scheduling
System
Predictive models on equipment telemetry
Impact
→ 26% less unplanned downtime
Problem
Batch traceability
System
MES integration with genealogy tracking
Impact
→ Faster recalls and audits
Problem
Multi-site benchmarking
System
Standardized KPIs across plants
Impact
→ Consistent ops reviews for leadership
How these systems are built at icrewsystems
A staged execution model designed for enterprise adoption, controlled risk, and repeatable outcomes across operations teams.
Step 1
Define
Baseline telemetry, inventory, and operating controls across sites; align stakeholders on KPI ownership, SLAs, and data contracts.
Includes discovery workshops, process baselining, risk registers, and measurable success criteria before any platform changes.
Step 2
Architect
Publish target-state architecture, integration boundaries, and security controls with phased rollout sequencing and risk gates.
Defines reference architecture, service boundaries, integration contracts, and governance controls for multi-team execution.
Step 3
Build
Deliver ingestion, decisioning, and workflow orchestration in production increments with observability, test coverage, and release governance.
Implements resilient data pipelines, automation policies, and quality gates with release cadence tied to business milestones.
Step 4
Deliver
Operationalize through enablement, runbooks, and executive reporting to lock in adoption, reliability, and measurable business outcomes.
Transitions ownership with operating playbooks, escalation paths, and leadership dashboards for sustained outcomes.
AI Readiness
Assess your readiness to scale these systems
Evaluate how your current systems support:
- telemetry ingestion
- automation
- operational decision-making
Built on proven infrastructure
Amazon Web Services
Google Cloud
Microsoft Azure
Cloudflare
DigitalOcean
IBM Cloud
Oracle
NVIDIA
OpenAI
Anthropic
Mistral AI
Cohere
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Decision filter
Good fit
- Discrete or process manufacturing with OT assets
- Need shop-floor to enterprise integration
- Measurable OEE or downtime goals
Not a fit
- Spreadsheet-only ops with no instrumentation
- No plant or OT stakeholder access
- Staffing-only requirements