Human-in-the-Loop Annotation for Autonomous Vehicles

Pushing the frontier of autonomy data annotation

Autonomy is evolving fast, moving from perception toward understanding and decision-making. At Kognic, we are extending human-in-the-loop annotation beyond routine tasks into emerging needs like trajectory ranking, multimodal grounding, and Visual-Language-Action models. We ensure annotation keeps pace with the next generation of autonomous systems.

How do we scale our annotation pipeline for higher volumes?

How can we maintain quality while increasing throughput?

What's the best way to integrate auto-labeling?

How can we reduce costs while preserving quality?

How do we handle multi-modal data?

What's the best way to manage annotation teams?

How do we ensure consistency between annotators?

Which metrics matter for optimization?

How do we handle edge cases?

Can we integrate with existing pipelines?

How do we maintain security at scale?

What's the best way to annotate LiDAR and radar data?

How can we speed up data processing?

How should we version datasets?

How do we meet regulatory requirements?

How do we validate annotation quality?

People

Domain experts trained in autonomy data, not generic crowd workers. The right skills for the complexity you're solving.

Process

Structured workflows that scale with your needs. Clear quality gates, continuous feedback, and full traceability.

Platform

Tools where automation assists human annotators. Built for autonomy-specific use cases from day one.

End-to-End Pipeline Integration

From raw sensor data to validated datasets, we handle your complete annotation workflow.

For ML Engineers

Process complex multi-modal data with proven tools built for autonomy
Leverage intelligent auto-labeling integration to accelerate development

Technical Details

For Technical Leaders

Scale annotation operations without compromising on quality or security
Track metrics and costs with comprehensive project analytics

Platform Architecture

For Annotation Teams

Work efficiently with purpose-built tools for autonomous systems data
Maintain consistency through structured workflows and continuous training

Annotation Tools

Kognic annotation platform live demo showing sensor fusion for autonomous driving

Managed Service

Access our complete platform and expert annotation partners.

Platform License

Deploy our annotation tools within your existing workflows.

Hybrid Solution

Combine our platform with your preferred workforce solution.

“Kognic provides the possibility to go all in and rely 100% on their services if needed, or to come up with a mix where we would use their services and our internals combined.

This is a really powerful offering that we haven't seen a lot of the competitors willing to do.”

Gergely Barot Kovacs

Product Manager, Continental

Continental Accelerated 3D Ground Truth Development

When Continental needed to enhance their perception development work, they partnered with Kognic to streamline their 3D ground truth generation. Through Kognic's platform, they achieved more efficient labeling processes and flexible workforce management.

Integrated powerful data pipelines tailored to complex urban driving scenarios

Read Case Study

“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.”

Mathias Broxvall

Unit Leader DL Data Preparation, Zenseact

Zenseact Saved 10.5 MSEK with Smarter Annotation Workflows

When Zenseact needed to scale high-quality annotations for their next-generation perception system, they partnered with Kognic to implement pre-label workflows and automated quality control. The result: dramatic cost reductions without sacrificing quality.

Achieved up to 47% cost savings on dynamic object annotation through pre-label workflows

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Why End-to-End Learning Needs Human Expertise More Than Ever

Processes

10 February 2026

Why End-to-End Learning Needs Human Expertise More Than Ever

Most autonomous driving datasets answer a question end-to-end models have stopped asking. Why structured causal reasoning — not more labels — is what the next generation of driving models actually needs.

How to Annotate LiDAR Data: A Best Practices Guide

Processes

5 February 2026

How to Annotate LiDAR Data: A Best Practices Guide

Learn how to annotate LiDAR point cloud data for autonomous vehicles. Covers 3D bounding boxes, semantic segmentation, quality control, and common challenges.

Kognic Platform Update: Quality Alignment, Programmatic Checks & Annotation Tools | January 2026

Product

28 January 2026

Kognic Platform Update: Quality Alignment, Programmatic Checks & Annotation Tools | January 2026

New Quality Alignment features, Cube3D validation checks, split polygon tools, and more in Kognic's January 2026 platform update for autonomous vehicle annotation teams.

View all articles

Frequently Asked Questions

What does Kognic do?

Kognic provides the leading annotation platform and services for autonomous driving and robotics. We help teams annotate multi-sensor data — camera, LiDAR, and radar — so their machine learning models can learn to perceive, predict, and navigate the real world. Our platform handles the full annotation lifecycle from data ingestion through quality-assured export.

Who are Kognic's customers?

Kognic serves leading OEMs and Tier-1 suppliers building autonomous driving and ADAS systems, including Qualcomm, Zenseact, Continental, Bosch, Kodiak, ZF, Einride, and JLR. We also work with robotics and industrial automation companies. Our platform has delivered over 100 million annotations across production programs.

What makes Kognic different from other annotation platforms?

Kognic is purpose-built for autonomous driving — not a generic labeling tool adapted for vehicles. This means native 3D/LiDAR annotation, built-in sensor fusion across camera and point cloud data, over 90 automated quality checkers designed for driving scenarios, and Language Grounding capabilities for next-generation vision-language-action models. See how we compare to Labelbox and Scale AI.

How does Kognic work with my team?

Kognic offers three deployment models: managed service (Kognic handles everything), platform license (your team uses the platform directly), or a hybrid model with your preferred annotation partner. This flexibility means you control the balance between cost, speed, and oversight. Contact us to discuss which model fits your program.

What results have customers achieved with Kognic?

Zenseact achieved up to 47% cost savings on dynamic object annotation through pre-label workflows. Continental accelerated 3D ground truth production with flexible workforce management. Across all customers, automation features like pre-labeling reduce annotation time by up to 68%. Read our customer stories for detailed case studies.

Is Kognic secure enough for automotive OEM data?

Yes. Kognic holds ISO 27001 and TISAX certifications — the security standards required by major automotive OEMs and Tier-1 suppliers. The platform provides multi-account management, role-based access control, and enterprise-grade data protection. We handle sensitive pre-production sensor data for some of the world's largest automotive companies.

How do I get started?

Start by contacting us. We'll show you the platform with your specific sensor setup and annotation needs. From there, we define guidelines, configure your project, and run a pilot on representative data. Most teams go from first conversation to active annotation within a few weeks.

Machines Learn Faster with Human Feedback

Pushing the frontier of autonomy data annotation

Why Human-in-the-Loop Annotation?

The data you need to win