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connected vehicles & autonomous systems

TrustalAI-Vision for drones, cars, trucks, shuttles, and mobile robots

TrustalAI-Vision for drones, cars, trucks, shuttles, and mobile robots

In an autonomous vehicle or a drone, a perception error is not just a simple bug.
It is a risk: safety, regulatory, financial, and reputational.

In an autonomous vehicle or drone, a perception error is not just a simple bug. It is a risk: safety-related, regulatory, financial, and reputational.

In an autonomous vehicle or drone, a perception error is not just a simple bug. It is a risk: safety-related, regulatory, financial, and reputational.

Real environments are unpredictable, dynamic, and uncontrolled:
changing weather, variable lighting, unexpected objects, complex human behaviors.

A layer of real-time reliability

TrustalAI-Vision brings a real-time reliability layer to embedded Vision AI.
We do not replace your perception models.
We ensure their level of confidence is reliable before a critical decision.

The problem

ADAS systems, autonomous vehicles, and drones heavily rely on:

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Object detection

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Semantic segmentation

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Distance estimation

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Obstacle classification

But:

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Models can be deceived by rare situations

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Models can be deceived by rare situations

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Actual conditions differ from training data

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Actual conditions differ from training data

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Systems do not always know when they are wrong

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Systems do not always know when they are wrong

Result:

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Decisions made with a false sense of certainty

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Decisions made with a false sense of certainty

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Unexpected braking or absence of braking

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Unexpected braking or absence of braking

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Poor obstacle detection

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Poor obstacle detection

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Costly human oversight

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Costly human oversight

The real challenge is no longer average performance.
It's the reliability in critical and unforeseen cases.

The problem

ADAS systems, autonomous vehicles, and drones heavily rely on:

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Object detection

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Semantic segmentation

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Distance estimation

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Obstacle classification

But:

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Models can be deceived by rare situations

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Actual conditions differ from training data

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Systems do not always know when they are wrong

Result:

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Decisions made with a false sense of certainty

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Unexpected braking or absence of braking

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Poor obstacle detection

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Costly human oversight

The real challenge is no longer average performance.
It's the reliability in critical and unforeseen cases.

our solution

TrustalAI Vision: real-time embedded reliability

TrustalAI-Vision, our solution for drones and connected vehicles:

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Evaluate the instant reliability of perception decisions

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Evaluate the instant reliability of perception decisions

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Evaluate the instant reliability of perception decisions

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Detects out-of-distribution (OOD) situations

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Detects out-of-distribution (OOD) situations

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Detects out-of-distribution (OOD) situations

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Generate an actionable confidence percentage for the decision system

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Generate an actionable confidence percentage for the decision system

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Generate an actionable confidence percentage for the decision system

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Allows dynamic adaptation of autonomous behavior

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Allows dynamic adaptation of autonomous behavior

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Allows dynamic adaptation of autonomous behavior

Specifically:

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Lane keeping if confidence is high

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Lane keeping if confidence is high

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Lane keeping if confidence is high

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Switch to degraded mode if uncertain

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Switch to degraded mode if uncertain

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Switch to degraded mode if uncertain

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Request for intervention or safe landing if there is a critical risk

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Request for intervention or safe landing if there is a critical risk

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Request for intervention or safe landing if there is a critical risk

We transform an AI perception system into a controllable, explainable, and certifiable system.

Reduce critical perception errors and human supervision, accelerate validation of perception stacks, speed up system certifications

Plug & Play

Real-time

Edge or Cloud API

Impact Business (ROI)

We enable autonomous vehicle and drone stakeholders to accelerate deployment while enhancing operational and regulatory confidence.

Reduction of critical incidents

Reduction of critical incidents

Reduction of critical incidents

Acceleration of approvals

Acceleration of approvals

Acceleration of approvals

Reduction of human supervision costs

Reduction of human supervision costs

Reduction of human supervision costs

Improvement of functional safety

Improvement of functional safety

Improvement of functional safety

Competitive advantage in public and industrial tenders

Competitive advantage in public and industrial tenders

Competitive advantage in public and industrial tenders

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Fluence ai chart

Autonomous Drones

(Inspection, Defense, Logistics)

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Infrastructure inspection

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Infrastructure inspection

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Security & defense

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Security & defense

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Autonomous delivery

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Autonomous delivery

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Industrial surveillance

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Industrial surveillance

Fluence ai chart

Autonomous Drones

(Inspection, Defense, Logistics)

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Infrastructure inspection

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Security & defense

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Autonomous delivery

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Industrial surveillance

Fluence ai chart
Fluence ai chart

Autonomous Vehicles & ADAS

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Detection of critical uncertainties

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Detection of critical uncertainties

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Reduction of false positives (unnecessary braking)

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Reduction of false positives (unnecessary braking)

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Reduction of dangerous false negatives

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Reduction of dangerous false negatives

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Improvement of functional safety

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Improvement of functional safety

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Autonomous Vehicles & ADAS

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Detection of critical uncertainties

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Reduction of false positives (unnecessary braking)

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Reduction of dangerous false negatives

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Improvement of functional safety