LiDAR & 3D Point Cloud Annotation Platform

Kognic annotation platform showing 3D point cloud data with bounding box annotation and synchronized camera views

The leader in autonomy data annotation

The most productive LiDAR and 3D point cloud annotation platform

Our market leading annotation platform is built to handle the scale and complexity of LiDAR, camera, and sensor fusion data, leading you to move faster without sacrificing accuracy. Let’s resolve the right issues. Faster.

What Sets Us Apart

Purpose-Built for 3D Point Cloud Annotation

Kognic's platform is engineered from the ground up for complex 3D point cloud data. Unlike general-purpose annotation tools, we specialize in the unique challenges of LiDAR and multi-sensor autonomy data. Teams using our 3D annotation tools have achieved up to 68% faster annotation times.

Native LiDAR Support

Annotate directly in 3D point clouds with purpose-built tools for cuboids, polylines, and semantic segmentation. No conversion or preprocessing required.

Sensor Fusion Annotation

Combine LiDAR, camera, and radar data in synchronized views. Annotate once, project across all sensors automatically.

Multi-LiDAR Workflows

Handle complex multi-LiDAR setups with calibration and time-synchronized projections across sensors.

Automatically created cuboid by placing 2 points

One-Click Cuboid Creation

Smart Interpolation

Pre-annotation Integration

Intelligent Propagation

Select a class, place two points—Kognic automatically generates a perfectly-fitted 3D bounding box with accurate size and rotation estimation. Purpose-built for LiDAR and sensor fusion workflows.

Reduce cuboid creation time by up to 60%. Automatic size and rotation estimation handles the precision work for you.

Track objects across sequences with automatic interpolation in world coordinates. Our system handles ego-motion compensation seamlessly, keeping annotations accurate as your vehicle moves through the scene.

Annotate key frames and let Kognic fill in the rest, maintaining spatial accuracy across entire sequences.

Import predictions from your existing models and refine them directly in Kognic. Your ML pipeline connects seamlessly with human review, accelerating iteration cycles and reducing time-to-quality data. See how our auto-label performance works.

Leverage your model investments. Pre-annotations reduce manual effort while your team focuses on edge cases and corrections.

Make an edit once and watch it propagate intelligently across adjacent frames. Kognic maintains temporal consistency and spatial accuracy, eliminating repetitive manual adjustments across sequences.

One edit, many frames. Reduce repetitive work while maintaining annotation consistency across your dataset.

Features provided by the platform were among the best of what the competitors were offering, but what was outstanding is the flexibility and cost/value provided by the solution.

Kognic has a very talented team who understands the problems of automated vehicles’ safety, sensor fusion, and large-scale data processing. Their platform, scalability and quality make them our preferred partner.

Partnering with Kognic helped us scale high-quality annotations in DL 2.0 while evolving our workflows around pre-labels, review automation, and a better, more efficient way of working.

Graph showing how Kognic is able to cope with increasing amounts of data needed to be processed

Handling volumes. At scale. With ease.

Use case coverage: Engineered to manage autonomy data's complexity and volume, our platform accelerates your progress without compromising precision—whether you're annotating 3D point clouds, camera sequences, or fused multi-sensor data.

API-first integration: Push sensor data, submit pre-annotations, and receive production-quality output programmatically. No manual uploads—your entire pipeline stays automated.

100+ million annotations delivered

Use our annotation platform with your internal team or combine it with your preferred BPO partners for a hybrid approach. We ensure flexibility, scalability, and full control over your data operations.

ActionAssist feature in Kognic showing recommendations on next steps

Guided Workflows

Checker Apps

Productivity metrics

Guided Workflows

Guided workflows enhance the 3D annotation process by utilizing automation in an effective sequence. This organized approach maximizes efficiency and reduces errors—whether you're annotating point clouds, camera imagery, or fused sensor data.

By directing annotators through set steps, these workflows ensure consistency across teams and projects.

Checker Apps

Checker Apps automatically identify and flag annotation issues in real-time. These applications can detect a wide range of potential errors in 3D point cloud and sensor fusion data, from basic geometric inconsistencies to complex relationship violations between objects.

With over 90 different checkers available, Kognic ensures your annotations meet the highest quality standards before submission.

Productivity with every click

Track annotation performance in real-time with built-in productivity metrics. Monitor throughput, review acceptance rates, and time-per-annotation across your team—giving you the insights needed to optimize LiDAR and 3D annotation workflows at scale.

Data-driven decisions: identify bottlenecks, measure annotator efficiency, and continuously improve your training data pipeline.

Enterprise-ready

Kognic is developed for global-scale LiDAR and sensor fusion annotation missions.

Centralized workspace for multi-account and team management

Custom support and specialized training

Enterprise security with ISO and TISAX certifications

Self-serve tools for team onboarding and data management

To help enterprises successfully onboard and reach the highest levels of platform efficiency, Kognic provides expert guidance to help your teams leverage our platform's capabilities in turning fleet data into trustworthy training signals for autonomous systems.

Your team can also enhance their expertise through the Kognic Academy - where we provide focused resources to help Dataset Engineers master every aspect of our platform, from efficient annotation workflows to QA-first approaches that maximise productivity and data quality.

Frequently Asked Questions

What is Kognic's annotation platform?

Kognic is a purpose-built annotation platform for autonomous driving and advanced driver assistance systems (ADAS). It handles the full annotation lifecycle — from data ingestion and pre-labeling through human annotation, quality assurance, and export — all within a single environment designed for multi-sensor, safety-critical work. The platform supports over 100 million annotations and is used by leading OEMs and Tier-1 suppliers including Zenseact, Qualcomm, Continental, and Bosch.

What 3D and LiDAR annotation capabilities does the platform support?

Kognic provides native LiDAR and 3D point cloud annotation with purpose-built tooling — not adapted from 2D tools. Annotators can create 3D cuboids, polylines, polylanes, semantic segmentation, and point annotations directly in point cloud data. The platform supports multi-LiDAR workflows, meaning you can work with data from multiple LiDAR sensors simultaneously in a single annotation session. See how Continental uses Kognic for 3D ground truth.

How does sensor fusion annotation work in Kognic?

Sensor fusion is a first-class capability in Kognic, not a bolt-on feature. Annotators work across synchronized camera images, 3D point clouds, and bird's-eye-view projections with calibrated coordinate systems. A label placed in one sensor view maps correctly to all others, ensuring consistent annotations across your full sensor suite. This eliminates the cross-modal inconsistencies that degrade model training performance. Learn more about our annotation solutions.

What automation features are available to speed up annotation?

The platform includes several automation capabilities designed to reduce manual work. One-click cuboid creation makes 3D labeling up to 60% faster. Smart interpolation propagates annotations across frames in temporal sequences. Pre-annotation integration lets you import model-generated labels as a starting point for human review. Together, these features let annotators focus on corrections and edge cases rather than drawing every label from scratch. Explore all platform capabilities.

Can Kognic integrate with our existing ML pipeline?

Yes. Kognic is built API-first, so it integrates directly into your machine learning pipeline. You can programmatically create annotation projects, upload sensor data, manage workflows, and export labeled data. The platform supports OpenLABEL and custom export formats, and provides well-documented APIs for every stage of the annotation process. This means labeled data flows into your training infrastructure without manual handoffs. Request a demo to see the API in action.

How does Kognic ensure annotation quality?

Quality assurance runs continuously throughout the annotation process — it is not a separate step at the end. The platform includes over 90 automated checker apps that flag common errors like cuboids clipping through the ground plane or tracking ID switches. Guided workflows enforce annotation guidelines at the point of labeling, and configurable review pipelines support multi-tier human review. See how Zenseact maintains ADAS annotation quality at scale.

What security and compliance certifications does Kognic hold?

Kognic holds ISO 27001 and TISAX certifications, which are the security standards required by major automotive OEMs and Tier-1 suppliers. The platform provides multi-account management for controlling data access across teams and partners. Enterprise-grade security controls ensure your proprietary sensor data is protected throughout the annotation process, from ingestion to export. Contact us for detailed security documentation.