A IA industrial da IoData detecta anomalias reais (não ruído), prevê falhas e economiza R$ 10M+ anualmente.Funciona com qualquer sensor MQTT. Implante em 7 dias.
Sem cartão de crédito • Acesso completo • Cancele quando quiser
CONFIANÇA DE LÍDERES INDUSTRIAIS
Cada hora de inatividade custa milhares. Veja a diferença dramática quando você muda de reativo para preditivo.
$2M+
Economia Anual
65%
Menos Inatividade
60
Dias para ROI
Resultados garantidos ou seu dinheiro de volta
No consultants. No complex integrations. No PhD required.
Point your MQTT devices to our broker. Works with any industrial sensor or PLC. Takes 15 minutes.
Our ML models analyze your historical data to understand normal vs. abnormal behavior.
Receive only meaningful alerts via SMS/Email/Teams when equipment is likely to fail.
Take action 72 hours before failures. Save millions in avoided downtime.
🎆 Special Offer: Start today and get your first month free (worth $5,000)
Real metrics from real deployments. No marketing fluff.
📈 Case Study: Global Chemical Manufacturer
Reduced unplanned downtime by 65% in 90 days. Saved $3.2M in first year.
Watch real anomaly detection on live industrial data
See how we detect anomalies 72 hours before failures on a real biomass plant.
Explore a real IoData dashboard with sample industrial data. No signup required.
Real-time Telemetry
Watch live sensor data streaming
Anomaly Detection
See ML models flag issues in real-time
Works on all devices • No installation required
"The demo convinced us in 5 minutes. We saw our exact use case with temperature anomalies."
— Plant Manager, Fortune 500 Chemical Company
Don't take our word for it. Here's what plant managers and engineers say:
"IoData caught a compressor failure 3 days early. That single alert saved us $1.2M in downtime costs. The ROI was instant."
📈 Saved $1.2M in first incident
Marcus Chen
VP of Operations
Global Chemical Corp
"We went from 20 false alarms per day to just 2-3 real issues. My team can finally focus on preventing problems instead of chasing ghosts."
📈 90% reduction in false alarms
Sarah Mitchell
Plant Manager
Biomass Energy Partners
"Setup took one afternoon. No consultants, no PhD required. Just connect your sensors and start getting predictions. It's that simple."
📈 Deployed in 4 hours
David Kumar
Director of Maintenance
Industrial Manufacturing Inc
"The 72-hour advance warnings changed everything. We schedule maintenance during planned downtime now. Equipment life increased by 40%."
📈 40% longer equipment life
Jennifer Park
Chief Engineer
Pacific Steel Works
"Other platforms took 6 months and $500K to deploy. IoData was running in a week for a fraction of the cost. Best decision we made."
📈 10x faster deployment
Roberto Silva
Operations Director
South American Mining Co
"The AI actually learns our specific equipment patterns. It gets smarter every day. Anomaly detection accuracy went from 30% to 95%."
📈 95% detection accuracy
Lisa Thompson
Reliability Manager
Midwest Paper Mills
See how much IoData can save your operation based on your actual metrics
Industry average: 24 hours/month
Industry average: $50K/hour
Industry average: 20/day
$10.56M
17500%
2 days
🚀 Based on your inputs, IoData will pay for itself in 2 days and save you $10.6M annually.
Ready to capture these savings?
Get Your Custom ROI Report →Quick answers to common questions about IoData
Every day without predictive maintenance costs you $50K+. Join 50+ industrial leaders who chose IoData to protect their operations.
🎆 Special Bonus for Fast Action
Sign up in the next 48 hours and get lifetime priority support + custom ML model training for your specific equipment (worth $25,000)