Local (Edge) Cognitive Operation and Maintenance for Industry and Buildings

Revolutionize elevator and solenoid valve maintenance with artificial intelligence at the Edge. Detect failures before they occur and operate and optimize your equipment, processes, and operations in real-time and locally, enabling efficient operation and optimizing the performance of your equipment.

100% Secure
100% Early Detection
100% Private
100 Inference Speed
100% Autonomous Operation
Sensors
Edge AI
Maintenance

How Does It Work?

Sensores IoT

1. IoT Sensors

Our advanced sensors collect real-time data on vibrations, temperature, pressure, and other critical parameters.

Protocolos de campo

2. Field Protocols

Edgemant is trained in the Field protocols used in industry and buildings. OPC-UA, Mqtt, Modbus, Profibus, KNX, Bacnet

El IA Edge

3. Edge AI

Artificial intelligence processes data locally, detecting patterns and anomalies before they turn into failures.

Mantenimiento Predictivo

4. Predictive Maintenance

You receive proactive alerts and specific recommendations to optimize maintenance and avoid unscheduled downtime.

Operación Autónoma

5. Autonomous Operation

The system can take corrective actions autonomously, adjusting parameters to maintain optimal and safe operation.

Specific Benefits

Reducción de Costos

Cost Reduction

Fewer emergency repairs and better use of technical resources.

Menos Paradas

Total Privacy

Data never leaves the local environment, ensuring total security and regulatory compliance.

Mayor Seguridad

No Permanent Connection

Works with an integrated battery, no need for an electrical connection. Ideal for secure and versatile installations.

Eficiencia Operativa

Quick and Non-Invasive Installation

Compatible with existing equipment. Just add sensors, without modifying your infrastructure.

Datos en Tiempo Real

Real-Time Data

Access constantly updated information to make fast and accurate decisions.

Monitorización Continua

24/7 Continuous Monitoring

Monitor the status of your equipment, detecting any anomaly in real time.

Technology and Security

Edge Computing

Edge Computing

Local data processing for maximum speed and privacy, without depending on remote connections.

Advanced Anomaly Detection

AI on the Edge analyzes real-time sensor data, detecting subtle deviations in the system before failures occur.

Actualizaciones Inteligentes

Adaptability and Continuous Learning

The model constantly adapts thanks to new data, surpassing static systems that do not evolve.

Machine Learning

Advanced algorithms that learn from operating patterns to improve the accuracy of predictions.

Análisis Predictivo

IoT Sensors with batteries and TinyML

Statistical and AI models that anticipate failures up to 30 days in advance.

Reduction of False Positives

Thanks to CNN neural networks, the system accurately distinguishes anomalous sounds and images, avoiding unnecessary interventions and improving operational efficiency.

Full Compatibility: Supported Protocols

Native read and write with the main protocols on the market for transparent integration.

Modbus

RTU & TCP

PROFIBUS / PROFINET

DP & Industrial Ethernet

OPC UA

Unified Architecture

MQTT

Publish/Subscribe

KNX

Building Automation

DALI

Lighting Control

Success Stories

Hospital Central

Central Hospital

98% reduction in elevator failures

Implementation in 12 critical elevators, improving the safety of patients and medical staff.

Centro Comercial Plaza Mayor

Plaza Mayor Shopping Center

Savings of $150,000 annually in maintenance

Monitoring of 8 elevators and 24 solenoid valves, optimizing the flow of visitors.

Edificio Corporativo TechHub

TechHub Corporate Building

99.9% uptime

System implemented in 6 high-speed elevators, ensuring business productivity.

What Our Clients Say

Carlos Méndez

"EdgeMant Conauti completely transformed our maintenance. Now we can anticipate problems before they affect our patients."

Carlos Méndez Maintenance Director, Central Hospital
Ana Rodríguez

"The accuracy of the predictions is incredible. We have reduced our maintenance costs by 60%."

Ana Rodríguez Operations Manager, Plaza Mayor
Miguel Torres

"Edge AI technology gives us the confidence that our systems will always operate optimally."

Miguel Torres CEO, TechHub Corp

Our Technology in Action

Sensores IoT

Advanced IoT Sensors

Accurate real-time monitoring

Centro de Control

AI Control Center

Intelligent data processing

Mantenimiento Predictivo

Predictive Maintenance

Proactive and efficient intervention

Instalación Industrial

Industrial Installation

Implementation in critical environments

Dashboard en Tiempo Real

Real-Time Dashboard

Advanced visual monitoring

Equipo Técnico

Specialized Technical Team

Experts in Edge AI

Soluciones Especializadas

Ascensores

Ascensores

24/7 intelligent and autonomous digital monitoring.

Visual, auditivo, de temperatura y vibraciones en componentes críticos. Prevención de fallas mediante Deep Learning discriminativo y generativo local.

Electroválvulas

Electroválvulas

24/7 intelligent and autonomous digital monitoring.

Control predictivo de flujo, presión y temperatura para optimizar el rendimiento de sistemas hidráulicos.

Platform Modules

Dashboard Principal

Mantito – Intelligent and Autonomous Digital Maintenance Expert

Real-time overview of the status of all monitored equipment with alerts and key metrics.

Análisis Predictivo

Predictive Analysis

Use of TinyML Sensors that integrate sensors, cameras, and microphones into Deep Learning models, all locally.

Gestión de Mantenimiento

Maintenance Management

Planning and tracking of maintenance tasks with integration of calendars and resources.

Solution Comparison

Benefit Dimension Traditional Reactive Maintenance Planned Preventive Maintenance Predictive Maintenance with EdgeMant Conauti
Maintenance Cost Low initial cost (no planning). High, unpredictable, and recurring repair costs. Regular planning and execution costs. Low to moderate initial investment. Often unnecessary spending on labor and parts. Initial investment in sensors and technology. Drastically reduced operating costs (10-40% savings).
Downtime Cost Very high. Causes unplanned and prolonged downtime. Loss of productivity (up to $50K/hour). Medium Low. Allows for planned downtime. However, it does not prevent unforeseen failures. Very low. Reduces unplanned downtime by up to 50%. Repairs are scheduled at the most optimal times.
Asset Lifespan and Value Low. Lack of maintenance accelerates wear and shortens the asset's life. Moderate to High. Scheduled maintenance extends the equipment's lifespan (20-30% more). Very high. Premature wear is prevented, extending the asset's lifespan (up to 60% more).
Productivity and Efficiency Very low. Performance decreases before a failure. Failures affect production and product quality. Moderate. Avoids most unexpected stops and maintains acceptable performance. Very high. Increases labor productivity (5-20%) and improves OEE (5-15%).
Safety and Occupational Risk Very high. Sudden failures endanger workers and can cause catastrophic accidents. Low. Regular inspections and maintenance reduce the risk of accidents. Very low. The ability to predict failures eliminates most safety risks before they occur.
Inventory and Parts Cost High. A spare parts inventory is required for emergency and unscheduled repairs. Moderate. It is based on statistical planning that often requires a safety stock. Low. Allows for just-in-time inventory management and parts acquisition.
Planning Level None. No prior planning required. High. Based on a schedule or usage, with predefined task lists. Very high. Maintenance is scheduled based on real-time data and failure prediction.
Required Technology None. It is based on manual response. CMMS software to manage work orders and calendars in the cloud with internet. IoT sensors, Edge computing, data platforms, AI, and Machine Learning all local without internet.
Return on Investment (ROI) Negativo. El "ahorro" inicial se pierde rápidamente en costos ocultos y perdidas de productividad. Moderate. It generates savings, but with the cost of inefficiency and premature interventions. Very high and measurable. It can generate a 10x ROI, with returns in a matter of months.

Frequently Asked Questions

What exactly does this predictive maintenance system do?

This product monitors the real-time status of elevators and solenoid valves, detecting anomalies before failures occur. It uses local sensors and Edge AI processing to act without depending on the cloud.

Is it secure and private?

Yes. All processing is done locally, which means that the data is not sent to external servers. This protects user privacy and complies with industrial security regulations.

Does it work without an internet connection?

Totally. The system is designed to operate autonomously, even in environments without connectivity. Ideal for critical installations or areas with limited access.

Does it require complex installation?

No. The system is modular and plug-and-play. It adapts easily to existing elevator and solenoid valve infrastructures, with minimal technical intervention.

What economic benefits does it offer?

It reduces maintenance costs, extends the useful life of the equipment, and avoids losses from unexpected stops. In addition, it minimizes energy use by optimizing operating cycles.

Ready to Revolutionize Your Maintenance?

Join the leading companies that already trust EdgeMant Conauti to optimize their operations and reduce costs.

+1 (415) 604-6499
edgemant@conauti.com
Lima (Peru), Sao Paulo (Brazil), Boston, Miami, Tampa and New York (USA)