How Eos helps you perceive more clearly


Eos increases system safety by overcoming the shortcomings of computer vision, especially in harsh lighting and poor weather.

Up to 3x more accurate than any alternative, especially in harsh low light and low contrast conditions.

Improve your system utilization by enabling effective perception 24/7 in any imaging scenario.

Address the robustness limitations of current vision system architectures through an end-to-end deep learning approach.

Eos can quickly support any sensor and lens configuration and addresses condition-related training set bias. This enables you to easily bring up your vision system and also evaluate different sensing options.

Replace the need for intensive training dataset capture and annotation for each configuration.

Remove “good condition” bias through automated dataset enhancements and training methodology for harsh conditions.

Save many months of engineering time and $100s of thousands of dollars per sensor configuration.

Eos deep-learning architecture co-optimizes perception and RAW image processing to provide the highest system performance.

Highly optimized neural network implementation providing best performance for your specific perception tasks.

Removes suboptimal lengthy camera tuning for computer vision with end-to-end training specific to your camera.

Eos can support any processor, accelerator, or sensor. It removes the limitation of you being “locked in” to one provider.

Maintain the flexibility to choose what system design is best for you, instead of being locked to specific vendors

Choose the perception features specific to your application with our modular solution.

Accelerate the integration of perception modules into your system with our collaborative engagement process.


Eos Embedded Perception Software

Built for All Vision Systems

We built Eos Embedded Perception Software with a new end-to-end learning approach that uniquely addresses the challenges of perception in harsh conditions.

This enables highly optimal architectures, which simplifies the design process, reduces system and component costs, and provides a path to fully end-to-end learned systems.

Camera-Based Perception

Perception software for ADAS, AV, and public safety, such as front-facing cameras, mirror replacement, and 360-degree use cases such as self-parking and autopilot.

Multi-Sensor Fusion

Perception software providing multi-sensor early fusion for L2+ and higher autonomous vehicles and robots. Combined with depth-sensing cameras, Eos can replace Lidar at a fraction of the cost.

End-to-End Perception

Perception software providing a path to fully end-to-end learned autonomous systems.