Introducing advanced AI data pipelines for Autonomous Vehicles

Drive the Future of Mobility with Ground-Truth Precision

High-fidelity sensor fusion and LiDAR data labeling for level 4 and 5 autonomy. We provide the precise data needed for safe self-driving perception.

Trusted by leading brands

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Safety isn't about the 99%, it's about the 1% edge cases.

Self-driving AI often fails when encountering rare, complex scenarios like extreme weather or unpredictable pedestrian behavior that aren't adequately represented in their training data.

Engai specializes in identifying and annotating these 'long-tail' edge cases, ensuring your perception models are robust enough for real-world deployment.

Intro
Comprehensive AI Capabilities

Autonomous Vehicles Core Solutions

High-precision computer vision datasets tailored for edge devices, robotic harvesters, and autonomous field operations.

Solution 01 of 02

HD Semantic Segmentation

The Operational Challenge

Differentiating between driveable surfaces, sidewalks, and temporary construction zones in low-visibility conditions.

Engai Precision Solution

Pixel-perfect segmentation of urban infrastructure with consistent class labeling across diverse global environments.

Showing 1 of 2
HD Semantic Segmentation — annotation illustration
AI Model Active · Ground Truth
DATASET: SEMANTIC-SEGCONF: 99.4%

Obstacle Detection

Real-time identification and tracking of vehicles, cyclists, and pedestrians with 0.1s latency.

Lane Behavior

Complex modeling of lane changes, merging, and yielding patterns for predictive planning.

Corner Case Mining

Discovering and annotating rare occurrences in huge datasets to solve the 'long tail' problem.

Service

Mission-Critical AV Labeling

Scale your perception training pipeline with a workforce trained on automotive safety protocols.

Multi-Frame Object Tracking
Path Prediction Labeling
Weather/Lighting Normalization
Global Road Sign Library

Safety-First Culture

Our processes prioritize accuracy over speed to ensure the integrity of your safety models.

Petabyte Scale

Massive throughput for the millions of miles of data required for autonomous validation.

Proprietary Tooling

Custom annotation environments for complex 3D sensor fusion and temporal data.

Case Study
The Challenge

"Reducing false-positive braking events in a Level 4 robotaxi fleet."

The Solution

Annotated 100,000 instances of 'ghost' obstacles in high-glare environments to fine-tune perception filters.

Results delivered
Unnecessary braking events reduced by 35%, drastically improving passenger comfort and safety.
Case Study

NexDrive AI

Perception Lead

99.98%
Ground Truth

Industry-leading accuracy for critical safety-related annotation.

5M+
Data Velocity

Frames annotated per month across multiple global client fleets.

60%
Efficiency

Improvement in model convergence speed through high-quality data.

Deploy Anywhere

On-Premises

Secure local processing for sensitive datasets.

Cloud

Highly scalable infrastructure powered by AWS/GCP.

Edge

Real-time inference optimized for on-device hardware.

Ready to accelerate your Autonomous Vehicles AI?

Connect with our vertical specialists to design a custom data pipeline tailored to your unique operational requirements.

SOC-2 Type II Certified

Enterprise-grade security standards.

Petabyte Scale Capabilities

Handling massive dataset volumes.

Rapid Onboarding

Teams deployed in as little as 48 hours.