Devices and sensors
We select sensors, boards and components for the variables you need to measure. We design and integrate custom hardware, considering power supply, installation and environmental conditions.
Internet of Things · Applied engineering
Connect your operations. Act on your data.
We design IoT solutions that connect the physical world to your business. We integrate devices, software and platforms to measure what matters and bring data into your operations.
Hardware and software, one project
From sensor to decision.
We start with your equipment, environment and the process you need to improve. We design each layer so information reaches the people and systems that need it, with the right context.
Embedded software
We develop software that captures readings and coordinates the device. We define sampling, configuration, error handling and update mechanisms suited to the equipment.
Connectivity and edge
We connect equipment through gateways and compatible protocols. We process data close to its source and design temporary storage and recovery for connection interruptions.
Platforms and integration
We implement data ingestion, storage and APIs in the cloud or on your infrastructure. We integrate information with applications, dashboards and enterprise systems.
Monitoring and analytics
We turn readings into indicators, historical records and alerts. When the objective and available data support it, we incorporate models to detect anomalies or inform maintenance decisions.
Security and operations
We define device identities, access and communication protection. We plan inventory, monitoring, software updates and credential management throughout operations.
One solution, four connected layers
How a reading becomes an action.
Explore a reference architecture, from data capture to the team’s response. A temperature monitoring example illustrates the role of each layer.
Measure with the right context.
A sensor captures a physical variable. Device software associates the reading with its identity, time and measurement unit, and applies the validations defined for the equipment.
Example: temperature monitoring
A sensor records the temperature in a storage area, identifying when and where each reading was taken.
Process close to the source.
A gateway can collect readings, filter data and execute local rules. We define what is sent, how often and how information is retained during an interruption.
Example: temperature monitoring
The gateway checks readings and can store them temporarily if connectivity is lost. Capacity and retention periods are defined in the design.
Organize data for use.
The platform receives and stores information, maintains historical records and applies rules. Its APIs connect the data to the organization’s systems and dashboards.
Example: temperature monitoring
Readings are grouped by area and time period. A rule identifies values outside the agreed range and generates an event.
Give each event a response.
Dashboards and alerts deliver information to the people responsible. We integrate actions and follow-up so data has a clear place in the workflow.
Example: temperature monitoring
The responsible person receives an alert, reviews the history and records the action taken. The event can be integrated with a maintenance request.
Identity, permissions, data quality and monitoring apply across all layers. Update frequency and failure response are agreed according to operational needs.
Operational applications
Connections matter when they inform decisions.
These scenarios illustrate possible applications. In each project, we validate what to measure, how to interpret the information and what action your team can take.
Equipment and facilities
Observe equipment status and operating conditions. Connect events with historical data to support inspections and prioritize maintenance reviews.
Example variables
Vibration · Temperature · Operating hours
Energy consumption
Compare consumption by equipment, area or period. Identify patterns and deviations to inform scheduling, usage and operational efficiency decisions.
Example variables
Energy consumed · Power · Peak demand
Environmental conditions
Monitor storage areas and facilities. Keep records and notify the appropriate people of deviations from the ranges defined by operations.
Example variables
Temperature · Humidity · Door openings
From a need to an operational solution
A focused pilot. A path to scale.
We validate the solution in its environment before expanding deployment. Each stage leaves documented decisions and criteria for moving forward.
Understand the environment
We review the process, existing equipment and site conditions. We define variables, connectivity, constraints and success criteria.
Design and prototype
We select components and architecture. We build a prototype to validate data capture, transmission and use within a focused scope.
Test in the field
We assess reading quality, coverage, power consumption and behavior during failures. We refine the solution with the people who will use it.
Deploy and support
We prepare configuration, documentation and monitoring. We define how to add devices, maintain them and transfer knowledge to your team.
Before you start
Questions to shape your project.
Can we connect equipment we already have?
We first review interfaces, protocols, documentation and equipment conditions. Depending on that assessment, we can integrate data through a gateway, an API or additional sensors. Compatibility is validated before defining the scope.
What happens if connectivity is lost?
We design the behavior around process requirements. This can include local storage, retries and synchronization when connectivity returns. Functions available offline depend on the hardware, software and configured capacity; they are verified during the pilot.
Can the solution incorporate artificial intelligence?
Yes, when there is a clear objective and enough data to train or validate a model. We can assess anomaly detection, computer vision or maintenance models. We first check data quality and how the results will be used in operations.
Start with what you need to measure
Your operations have data to uncover.
Tell us which equipment, variables or processes you need to connect. Let’s define a solution and a first pilot with a concrete objective.