What Is Kognic?
Kognic is a purpose-built annotation platform for autonomous driving. Founded in 2018 in Gothenburg, Sweden, Kognic provides multi-sensor annotation tools and specialist workforce services for OEMs and Tier 1 suppliers developing autonomous vehicles. The platform supports camera, LiDAR, and radar data across perception, planning, and end-to-end model training.
With 100M+ annotations delivered across 120+ projects, Kognic serves customers including Qualcomm, BMW, Zenseact, Continental, and Bosch. The platform combines human expertise with LLM-assisted automation to deliver training data at scale while maintaining the quality standards safety-critical applications demand.
The leader in autonomy data annotation
Machines Learn Faster with Human Feedback
Integrate cost-efficient, scalable human feedback into your autonomy data flywheel.
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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?
Why Human-in-the-Loop Annotation?
Edge cases and safety-critical decisions need human judgment—integrated the right way.
- 1
People
Domain experts trained in autonomy data, not generic crowd workers. The right skills for the complexity you're solving.
- 2
Process
Structured workflows that scale with your needs. Clear quality gates, continuous feedback, and full traceability.
- 3
Platform
Tools where automation assists human annotators. Built for autonomy-specific use cases from day one.
Language Grounding
From what to why — annotation for next-generation driving models
The autonomous driving industry built remarkable perception models. Now it needs models that reason. Language Grounding brings annotation workflows for vision-language models directly into the Kognic platform.
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
For Technical Leaders
- Scale annotation operations without compromising on quality or security
- Track metrics and costs with comprehensive project analytics
For Annotation Teams
- Work efficiently with purpose-built tools for autonomous systems data
- Maintain consistency through structured workflows and continuous training
Your data, your way.
Choose the deployment model that best fits your development pipeline and team structure.
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 KovacsProduct 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
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Why Is Autonomous Driving Annotation So Expensive?
Autonomous driving annotation is expensive because the data is 3D, multi-sensor and safety-critical. The five cost drivers, and the three levers that cut them.
Kognic Platform Update | September 2026
September 2026 Kognic platform updates: aggregated lidar without sliders, node-level and class-level feedback, scene event markers, and project status.
Kognic Platform Update | August 2026
August 2026 Kognic platform updates: live checkers, every camera in one grid, a reworked 2D grid view, and project settings that keep their phase configuration.
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 is ISO/IEC 27001:2022 certified, SOC 2 Type II certified and TISAX assessed, meeting 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.
How does Kognic compare to Scale AI for autonomous driving?
Kognic is purpose-built for autonomous driving with native 3D/LiDAR annotation and sensor fusion. Scale AI is a broader data labeling platform serving multiple industries. Kognic's differentiation includes 7+ years of production 3D tooling, over 90 AV-specific quality checkers, Language Grounding for VLM/VLA models, and TISAX assessment. Teams like Kodiak have switched from Scale AI to Kognic for sensor fusion depth.
What is Language Grounding in autonomous driving?
Language Grounding is Kognic's capability for annotating vision-language and vision-language-action models. Instead of only labeling what objects are in a scene, annotators describe why events happen and what the vehicle should do. This uses Write, Edit, Rank, and behaviour annotation modes with a Chain of Causation methodology that prevents hindsight bias in training data. Learn more about the platform.
How much does Kognic cost?
Kognic uses enterprise pricing based on project scope, data volume, and whether you use the platform license, managed services, or a hybrid model. There is no public price list or freemium tier. Contact Kognic for a quote tailored to your sensor setup and annotation requirements.