Qartia's AI is integrated with the operation, it does not live separately from the system.
Qartia applies artificial intelligence on data captured in the field to detect patterns, anticipate events, launch alerts and facilitate decisions in industrial, environmental, urban or agricultural environments.
Our approach combines data platforms, sensors, connectivity, edge, dashboards and advanced services such as predictive maintenance, RAG assistants, digital twins and operational visualization.
The result is an AI useful for real operation: connected to the devices, aligned with the project logic and prepared to integrate with the client's existing infrastructure.
Where you add value
AI deployed on assets, networks and platforms that are already working.
Predictive maintenance
Telemetry and sensor analysis to identify failures, degradation or anomalies before shutdown.
Smart alerts
Detection of anomalous behavior and generation of contextualized warnings.
Digital twins
Operational representation of systems, assets or spaces to visualize and test scenarios.
Attendees RAG
Natural consultation on data, documents, events and system operation.
AI connected to the use case in order to predict
Our AI is based on quality data, that is, well captured, well transmitted and well structured.
Models and operation
Prediction, classification and contextual reading about the deployed system.
AI is integrated with the visualization, alarms and data exploitation layer so that the model has an impact on maintenance, environment, technical assistance or service control.
Predictive models and business rules.
State classification and event detection.
Deployment on edge, cloud or hybrid architecture.
RAG and operational knowledge
Ask the system with natural language to extract value quickly.
The RAG wizards allow you to consult readings, history, technical documentation, patterns and system behavior without manually browsing tables or graphs.
Summary of series, incidents or trends.
Consultation on sensors, thresholds or asset behavior.
Support for technicians, operation and remote supervision.
Prediction of asset behavior and probabilistic failure reading on motors and rotating machines.Pollutant prediction and decision support on environmental quality and territorial operation.
Services we deploy
AI and advanced services connected to the reality of the project.
Smart maintenance
Predictive and monitoring services on telemetry from the devices themselves.
Alerts and events
Email or messaging notifications for values out of range or anomalous patterns.
Digital twins
Applicable to operation, training, architectural heritage and civil infrastructure.
RAG and chat bot
Natural query on captured data, documents and operating context of the system.
Smart Cities
AIoT platforms for sustainability, quality of life and operational reading of the urban environment.
Security and cloud
VPN, secure cloud, traceability and remote services for connected deployments.
Autonomy and resilience
Services compatible with solarized solutions, anti-vandalism and complex deployments.
Phased scaling
Ability to start as a pilot and evolve to a stable service within the same architecture.
How we incorporate AI
From raw data to really useful operational help.
01
Prepare the data
Stable capture, structure, labeling and context of use of the system.
02
Model the service
Definition of rules, prediction, RAG query or advanced visualization as needed.
03
Integrate into operation
Dashboards, alerts, APIs, workflows and real users within the day-to-day life of the project.
04
Measure and improve
Service adjustment, impact evaluation and progressive evolution of the model or assistant.
Sensorization industrial, environmental and agriculture
IoT advanced
From Consulting to Turnkey Project
ENGINEERING
AI
R&D&i
Do you want to apply AI on a real system and not just on an isolated demo?
Qartia can help you connect data, platform and analytics so that artificial intelligence has a clear operational use from the first pilot.
