Intelligence of Things

From sensor to decision: technology born from research.

We research and develop, from scratch, technologies to monitor, inspect and protect industrial operations.

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The division

Intelligence of Things

Aliger's Intelligence of Things division develops hardware and software to connect the physical world to artificial intelligence. Our technologies are developed to capture data other sensors miss and see what other systems cannot.

From embedded sensors to management software, we develop R&D&I projects in predictive maintenance, industrial inspection, environmental monitoring and operational safety.

Proprietary sensors

In-house hardware with embedded AI

Computer vision

Deep neural networks for inspection and detection

Operational safety

Technologies to protect people and assets

From sensor to software

Hardware, software and AI models developed by the same team

Proprietary portfolio

Proprietary technologies and innovation projects

Each line was born from research and development projects and brings together patents and experience from projects with companies and institutions. New applications come from innovation projects carried out together with those who face the challenge.

Aliger Mantis Sub sensor, real unit used in subsea wells
Mantis logo
Machines and structures

Mantis

Sensing to anticipate failures in machines and structures.

We develop sensors with embedded machine learning to track the condition of machines and structures. The line was born in industrial projects and is now moving into deep water, with Petrobras.

Project with Usiminas: monitoring of ore conveyor belts
MANTIS SUB: research with Petrobras's CENPES for subsea wells
Signal acquisition and embedded artificial intelligence
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Real dashboard of the Anefus platform shown on a monitor, displaying industrial monitoring with sensors, charts and device status (client data removed)
Platform

ANEFUS

The base that connects sensors, data and artificial intelligence.

ANEFUS is our own platform, the base on which we develop Mantis, Aéras, Soteria and Amater.ai. Each new project reuses what has already been built instead of starting from scratch.

Processing on the device, on the local server and in the cloud
Interfaces for field work and mobile
A common base for all our research lines
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Aliger Aéras sensor, real monitoring unit
Aéras logo
Environment

Aéras

What life feels in the flows: air, water and effluents.

We develop technologies to monitor water, air, gases and effluents, with optical sensing, optofluidics and nanotechnology. Living systems are at the center of the metrics, not just regulatory limits.

Patent granted in Brazil: optoelectronic measurement with nanotechnology
Water quality tests with CEDAE, in the BlueRio program
Artificial intelligence oriented to biological and ecological risk
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Aliger Soteria Halo, real safety wearable attached to a helmet
Soteria logo
People

Soteria

Everyone deserves to go home safe.

We develop wearable sensors, computer vision and artificial intelligence to anticipate risks to worker health and safety.

Patent granted in Brazil: integrated workplace safety monitoring system
Monitoring of the worker and the environment in the same architecture
Research aligned with the updated NR-1 and Ordinance 888
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Illustration of the Amater.ai concept: optical inspection system with an articulated arm analyzing a sample and revealing its internal composition with a laser
Materials

Amater.ai

Photonics to reveal what the eye cannot see.

We develop hyperspectral imaging, electromagnetic wave and X-ray technologies to reveal the composition and integrity of materials.

Patent granted in Brazil: inspection of granular particles
Project with Klabin, supported by Finep: hyperspectral imaging of eucalyptus
Computer vision and artificial intelligence for industrial inspection
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Intelligence of Things

See what is invisible in your operation.

Talk to our sensors, computer vision and embedded AI team. We will understand your challenge and assess the best research and development path together.

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Industrial technician checking monitoring data on a tablet inside a factory plant

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