Universal Edge Ingestion
Connects PLCs, sensors, cameras, and MES into one multi-protocol operational telemetry layer, then scales line-by-line across the plant without stopping production.
Zero-Loss Manufacturing
Made prescribes the exact action your operators need, before the line stops.
Backed by

DEMO · Predictive Actions
HIGH-SPEED PRODUCTION LOOP
Signal to ActionFrom edge telemetry to execution-ready prescription: three operational layers, one continuous loop.
Monitors every line, every shift, without interrupting operations. Delivers the exact action before the event becomes downtime.
DEPLOYMENT LAYER
PRODUCTION-READY INFRASTRUCTUREYour Gateway runs on-site, speaks every protocol your plant already uses, and scales line-by-line — without a planned shutdown.

Connects PLCs, sensors, cameras, and MES into one multi-protocol operational telemetry layer, then scales line-by-line across the plant without stopping production.
When minimum latency is required, Made deploys on-site hardware with up to 67 TOPS of NVIDIA inference power for real-time detection, classification, and prioritization of operational events.
When process tolerance allows, workloads run with multi-cloud, multi-region, and auto-scaling architecture.
Health checks, failover paths, escalation protocols, and OT/IT cybersecurity controls keep operations stable during rollout and after go-live.
ENGINE LAYER
OPERATIONAL INTELLIGENCE ENGINETransforms integrated plant telemetry into operational context, classified events, and prioritized risk ready for the Prescription Layer.
Notification System
MadeOS
SMS
Customizable
Cameras
Sensors
Machines
Factory
Telemetry
AI Copilot
Workflows
Notification System
MadeOS
SMS
Customizable
THE CORE ENGINE WHERE TELEMETRY BECOMES EXECUTION-READY PRESCRIPTION.
Understands line, station, and shift behavior as one interconnected system, not isolated signals.
Identifies anomalies and true operational drift, separating normal process variation from critical events with confidence scoring.
Ranks events by potential impact and intervention window, producing a queue ready for prescriptive execution.
PRESCRIPTIVE LAYER
THE INDUSTRIAL AGENTTurns Engine outputs into operator-ready actions: what to adjust, by how much, when to execute, and through which channel.
Consolidates signals by line, station, and shift into one actionable operating view.
Ranks events by potential impact and intervention window so teams act on critical issues first.
Delivers what to adjust, by how much, and when, with expected impact for immediate operator execution.
Backed by

Backed by Founders, Inc., the firm behind Airbnb, Stripe, and Figma, to build the defining industrial AI company.
Backed by NVIDIA Inception to accelerate deployment of edge-native industrial AI.
Recognized by MIT as one of the 35 most innovative companies of 2025.
Backed by Startup Chile to scale high-impact industrial technology across Latin America.
UNPLANNED DOWNTIME
AVG. DOWNTIME COST
ANNUAL REVENUE AT RISK FROM DOWNTIME
The gap between your OEE and industry benchmark has a precise dollar value. Calculate yours below.
PLANT LOSS DIAGNOSTIC
Enter your production data. Get a real-money breakdown of what downtime, speed loss, and defects are costing you — in seconds.
PLANT PROFILE
Industry
OEE world-class target: 65%
Shifts per day
2 SHIFTPRODUCTION & VALUE
LOSS PROFILE
ESTIMATED ANNUAL LOSS
USD$1.34M
/ day
$5.4K
/ month
$111.8K
5-year
$6.71M
Based on your parameters — validated against real PLC data during onboarding.
ESTIMATED OEE
Industry target
65%
78.3%
Annual Loss Breakdown
USDAVAILABILITY LOSSES
$225.0K
Revenue lost while lines are stopped due to unplanned breakdowns.
100 events/yr · 450 hrs lost
PERFORMANCE LOSSES
TOP$943.3K
Revenue lost from micro-stops and running below rated speed.
1.3% micro-stops · 15% speed gap
QUALITY LOSSES
$173.3K
Revenue lost from defective units that didn't pass first-time quality.
3.00% defect rate · FPY 97%
DIAGNOSTIC INSIGHT
Based on your inputs, your highest-impact loss driver is Performance — micro-stops & speed losses. Micro-stops are invisible on most plant dashboards. They accumulate silently across every shift.
DAILY COST
$5.4K
while your plant runs
Get your full plant loss report
Blog · Field Intelligence
From The Plant FloorTechnical articles on industrial AI deployment: architecture patterns, real-world OEE results, and operator-level implementation guides.
New engineering articles will be published here.
Architecture breakdowns, agent capability updates, and deployment case studies — for engineers and operators who build.
General
MadeOS is an operational intelligence system that connects plant signals, analyzes risk in real time, and delivers prescriptive actions to reduce unplanned downtime.
No. Deployment is staged with OT/IT teams and can roll out line by line while production remains active.
MadeOS can run on dedicated edge compute for low-latency requirements and extend to cloud workloads where process tolerance allows.
For the Production Floor
No. Made delivers instructions directly to your phone via WhatsApp, SMS, or email — whichever you already use. There's no dashboard to monitor, no login required on the floor. You receive a clear action: what to adjust, on which machine, and by how much.
Each alert includes three things: the anomaly detected (e.g., 'Solder paste volume dropping at Station 3'), the recommended action ('Reduce conveyor speed to 85%'), and the urgency level. You won't receive raw data or vague warnings — only actionable instructions.
Made tracks alert acknowledgment and escalates automatically if no action is taken within a defined window. Your supervisor or shift lead receives the same alert as a follow-up. Nothing falls through the cracks.
Made's engine separates normal process variation from genuine anomalies using confidence scoring — so it filters out noise before sending anything to you. During your pilot, alert thresholds are calibrated to your specific line to minimize false positives from day one.
No. The system is designed for floor conditions — alerts reach you on your phone, in the channel you already use. If your plant uses shared tablets or operator panels, Made can also surface alerts there, but it's not required.
Integration & Security
Yes. Made connects to your existing systems — including SAP, Oracle, Ignition, Wonderware, and custom MES platforms — via standard industrial protocols (OPC-UA, MQTT, REST API). We don't replace your stack; we sit on top of it. Our team handles the integration during the pilot so your IT resources stay focused on operations.
Your operational data never leaves your environment without explicit control. Made supports on-premise deployment and air-gapped configurations for sensitive facilities. All data in transit is encrypted (TLS 1.3), and we follow IEC 62443 industrial cybersecurity standards. We sign an NDA before any deployment begins.
From signed agreement to first live alert: 2-3 weeks. Week 1 is sensor and data source mapping. Week 2 is model calibration and baseline learning on your specific line. Week 3 is supervised live operation with your team. Production is never paused during setup.
No. Made is designed so your existing operators and shift supervisors can act on its outputs without any technical background. The system is monitored and maintained by Made's team under your SLA. You receive outcomes — not infrastructure to manage.
Made operates as a passive monitoring layer — it observes and advises, but never controls your machines directly. If Made goes offline, your production line continues without interruption exactly as before. We maintain 99.9% uptime SLA, with automatic failover and real-time alerting to our engineering team if any component becomes unavailable.