Zero-Loss Manufacturing

No failure is random.

Made prescribes the exact action your operators need, before the line stops.

Backed by

Founders, Inc.NVIDIA InceptionMIT Technology ReviewStartup Chile
ASEPTIC FILL & FINISH//
PRECISION PCB ASSEMBLY//
HIGH-SPEED BOTTLING//
MINERAL PROCESSING PLANT//
INJECTION MOLDING TELEMETRY//
ASEPTIC FILL & FINISH//
PRECISION PCB ASSEMBLY//
HIGH-SPEED BOTTLING//
MINERAL PROCESSING PLANT//
INJECTION MOLDING TELEMETRY//

DEMO · Predictive Actions

HIGH-SPEED PRODUCTION LOOP

ASEPTIC FILL & FINISH

Fill levelSterilization tempContainer integrity

MadePLANT LOSS DIAGNOSTIC

Enter your line profile and get a free estimate of your annual losses.

PLANT PROFILE

Industry

OEE world-class target: 65%

3 lines
1 line20 lines

Shifts per day

2 SHIFT

PRODUCTION & VALUE

(units/hr per line)
1.0K u/hr
100 u/hr10k u/hr
USD · per unit
$0.50
$0.10$50
(% of rated capacity)
85%
50%100%

LOSS PROFILE

(per week, all lines)
2/wk
0/wk15/wk
1.5h
15 min8 hrs
(per line, industry avg: 8-20)
12/hr
0/hr60/hr
4 sec
1 sec30 sec
(% good units on first pass)
97%
70%100%

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%

A — Availability96.3%
P — Performance83.9%
Q — Quality97.0%

Annual Loss Breakdown

USD

AVAILABILITY LOSSES

$225.0K

17%

Revenue lost while lines are stopped due to unplanned breakdowns.

100 events/yr · 450 hrs lost

PERFORMANCE LOSSES

TOP

$943.3K

70%

Revenue lost from micro-stops and running below rated speed.

1.3% micro-stops · 15% speed gap

QUALITY LOSSES

$173.3K

13%

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

Made gateway installed inside an industrial control cabinet.

DEPLOYMENT LAYER

MadeONE INTELLIGENCE, TWO PATHS

Industrial AI that adapts to the needs of your plant.

NVIDIA Jetson Orin Nano
Edge Device
Dedicated on-site AI
Managed cloud access
Software + API
Runs on your existing PC or server
How you start
Installed on-site by MadeOS
Dedicated edge hardware deployed in your plant.
Self-install on your PC or server
Request access and connect via OPC UA in under one hour.
AI Processing
Local inference on Jetson
NVIDIA JetsonUp to 67 TOPS
Managed cloud inference
Dedicated cloud, secure real-time WSS, and no token limits
Best fit
Low-latency AI + local vision
Fast rollout + elastic OPC UA tag scaling
Infrastructure profile
Dedicated device, isolated from shared compute
Uses your current industrial PC or server
Operational advantage
Maximum local autonomy for line-level response
Lower CAPEX using infrastructure you already own
Cloud & AI managed by
MadeOS installs, supports, and maintains the edge layer
MadeOS manages DB, workloads, and AI

Both paths include the same intelligence

Predictive analytics
Anomaly alerts
AI Agent · Web + WhatsApp
OS Monitoring
OEE tracking
TLS 1.3 encrypted

Choose Edge if…

Dedicated local AI for low-latency lines

Best for plants that need local vision, isolated compute, and deterministic response close to the machine.

Talk to our team →

Choose API if…

Fastest path to pilot on existing infrastructure

Best for teams that want dedicated cloud, no token limits, and rapid rollout on the PC or server they already own.

  • First 10 pilots: $0 API access
  • Dedicated cloud included
  • No token limits
Request API Pilot Access

Not sure which deployment fits your plant? We will map the right path with your team in one working session.

Talk to an engineer
02

ENGINE LAYER

MadeOPERATIONAL INTELLIGENCE ENGINE

Transforms integrated plant telemetry into operational context, classified events, and prioritized risk ready for the Prescription Layer.

Factory
MachinesSensorsPLC
API
Now Launching
Gateway
Machine Vision
MadeOS
AI Copilot + Prescription

Notifications

WebAppWhatsAppSMSMail
Factory Operators

THE CORE ENGINE WHERE TELEMETRY BECOMES EXECUTION-READY PRESCRIPTION.

Operational Context Modeling

Understands line, station, and shift behavior as one interconnected system, not isolated signals.

Event Detection & Classification

Identifies anomalies and true operational drift, separating normal process variation from critical events with confidence scoring.

Action-Ready Risk Prioritization

Ranks events by potential impact and intervention window, producing a queue ready for prescriptive execution.

TALK WITH YOUR FACTORY IN REAL TIME
03

PRESCRIPTIVE LAYER

MadeTHE INDUSTRIAL AGENT

Turns Engine outputs into operator-ready actions: what to adjust, by how much, when to execute, and through which channel.

CONTEXTUALIZED OPERATING STATE

Consolidates signals by line, station, and shift into one actionable operating view.

PRIORITIZED RISK QUEUE

Ranks events by potential impact and intervention window so teams act on critical issues first.

PRESCRIPTIVE NEXT ACTION

Delivers what to adjust, by how much, and when, with expected impact for immediate operator execution.

Backed by

Founders, Inc.

Backed by Founders, Inc. — investors behind Airbnb, Stripe, and Figma — to build the defining industrial AI company of this generation.

NVIDIA Inception

NVIDIA Inception partner. Made deploys with up to 67 TOPS of Jetson inference power for real-time detection and classification at the machine level.

MIT Technology Review

Named by MIT Technology Review as one of the 35 most innovative technology companies globally in 2025.

Startup Chile

Startup Chile portfolio company — accelerating Made's deployment across Latin American industrial manufacturing.

Blog · Field Intelligence

MadeFrom The Plant Floor

Technical articles on industrial AI deployment: architecture patterns, real-world OEE results, and operator-level implementation guides.

New engineering articles will be published here.

Get field reports in your inbox

Architecture breakdowns, agent capability updates, and deployment case studies — for engineers and operators who build.

SUPPORT · FAQ

Frequently Asked Questions

General

What is MadeOS for manufacturing?

MadeOS is an operational intelligence system that connects plant signals, analyzes risk in real time, and delivers prescriptive actions to reduce unplanned downtime.

Does deployment require stopping production lines?

No. Deployment is staged with OT/IT teams and can roll out line by line while production remains active.

Where does MadeOS run?

MadeOS can run on dedicated edge compute for low-latency requirements and extend to cloud workloads where process tolerance allows.

For the Production Floor

Do I have to learn new software?

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.

What exactly does an alert look like? Will I know what to do?

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.

What if I get an alert but can't act on it immediately?

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.

Can the system generate false alarms?

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.

Do I need to be in front of a screen to use this?

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

Does Made integrate with my existing ERP or MES?

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.

What happens to my OT data security?

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.

How long does onboarding actually take?

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.

Do I need to hire technical staff to run it?

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.

What happens if Made fails during active production?

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.