Phantom

Phantom

Phantom AI provides a modular, software-based autonomous vehicle stack for Tier 1 suppliers and OEMs, offering computer-vision‑based perception, multi-sensor fusion, and vehicle control (ADAS/level 2-3) solutions deployable on embedded SoCs.

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#28 in Other (27 tools)
Just launched
Data reviewed Jul 28, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

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What it does

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Phantom

Phantom AI offers a modular autonomous driving software stack designed for Tier 1 suppliers and OEMs, combining deep learning computer vision, sensor fusion and vehicle control to enable ADAS and level 2/3 automated driving functions. The platform includes PhantomVision™ (360° multi-camera visual perception with Euro NCAP compliant ADAS features), PhantomFusion™ (platform-independent sensor fusion and object tracking for camera, radar, LiDAR and ultrasonic), and PhantomDrive™ (vehicle control that predicts object motion and generates safe trajectories). Phantom emphasizes computational efficiency and claims proven market deployment and scalability, with the ability to run on low-power embedded SoCs and to support deployment across different vehicle types and sensor configurations.

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Key Features

PhantomVision™ (Computer Vision)

Deep Learning based visual perception engine providing 360° multi-camera coverage, Euro NCAP compliant ADAS features, and detection of vehicles, pedestrians, bicyclists, free-space, traffic signs and traffic lights; supports real-time detection and bird-eye view tracking for AEB, ACC, TJA and LKAS.

PhantomFusion™ (Sensor Fusion & Tracking)

Platform-independent, modular sensor fusion that fuses outputs from camera, radar, LiDAR and ultrasonic sensors to produce an environmental model and robust object tracking, preserving detections in partial sensor-failure events.

PhantomDrive™ (ADAS Control)

Vehicle control system that predicts object motion, assesses collision risk, screens false positives, and generates future vehicle trajectories to control acceleration, braking and steering for features such as Adaptive Cruise Control, Automatic Lane Keeping and Automatic Lane Change.

Camera & Data Pipeline

Best Camera Exposure Control for varied lighting (day/night, tunnels, direct sun), optimized data collection and augmentation, and specialized labeling policies drawn from large-scale annotation experience.

Real-time Code & Model Optimization

Code optimization and deep learning model engineering to enable real-time processing of multiple cameras and deployment on hardware accelerators and low-power embedded SoCs.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Level 2/3 ADAS for Tier 1 / OEMs

Deliver cost-effective level 2/3 solutions (AEB, Emergency Lane Support, ACC, LKAS, TJA) to automotive manufacturers and Tier 1 suppliers for production vehicles.

Sensor-fault-tolerant Perception

Provide robust environmental modeling and continued detection during partial sensor failures by fusing camera, radar, LiDAR and ultrasonic inputs.

Embedded SoC Deployment

Deploy vision and perception stacks on low-power embedded SoCs using optimized deep learning and hardware acceleration suited for vehicle-grade compute platforms.

Integrations

Camera

Multi-camera input for 360° visual perception and bird-eye view tracking.

Radar

Radar outputs fused into PhantomFusion™ to improve detection robustness and range measurements.

LiDAR

LiDAR data can be fused with other sensors to enhance environmental modeling and tracking.

Ultrasonic

Short-range ultrasonic sensors are supported for close-proximity detection and fusion.

Embedded SoCs / Hardware Accelerators

Optimized deployment on low-power embedded System on Chip platforms and hardware accelerators.

Benefits

Modular, configurable stack targeted at OEMs and Tier 1 suppliers for faster integration
Scalable and deployable on low-power embedded SoCs with hardware acceleration
High-precision computer vision and sensor fusion designed for Euro NCAP-compliant ADAS features
Claims of market-proven technology with improved computational efficiency compared to existing solutions
End-to-end pipeline including data collection, labeling, augmentation and model optimization

Limitations

Primary focus on level 2/3 ADAS solutions; the company states democratizing ADAS is a priority before tackling fully self-driving vehicles
No pricing or public developer API information is published on the referenced page

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Contact Phantom AI ([email protected] or [email protected]) to discuss partnership and integration requirements
  2. 2 Share vehicle platform, sensor configuration and ADAS/function requirements for customization
  3. 3 Work with Phantom AI to integrate PhantomVision™, PhantomFusion™ and PhantomDrive™ and deploy on target embedded SoC/hardware accelerator

Support

email

General inquiries: [email protected]

email

Partnerships: [email protected]

email

Press: [email protected]

email

Data protection / privacy: [email protected] and Privacy Policy linked on site

careers

Job openings listed on site (Work with us / View All Positions)

API

Available: No

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