
Kognic provides a platform that turns raw multi-sensor data into high-quality annotated datasets for training and validating autonomous systems. It does this with a sensor-fusion annotation workflow and human-in-the-loop tooling that combine machine learning, data annotation, and continuous human feedback to improve label quality and model performance. The product is offered as a B2B SaaS platform that integrates into customers' data pipelines and supports engineers building perception and autonomy stacks. Typical customers are autonomous system developers who need scalable, cost-efficient annotation and validation for performance-critical ML applications.

Kognic provides a platform that turns raw multi-sensor data into high-quality annotated datasets for training and validating autonomous systems. It does this with a sensor-fusion annotation workflow and human-in-the-loop tooling that combine machine learning, data annotation, and continuous human feedback to improve label quality and model performance. The product is offered as a B2B SaaS platform that integrates into customers' data pipelines and supports engineers building perception and autonomy stacks. Typical customers are autonomous system developers who need scalable, cost-efficient annotation and validation for performance-critical ML applications.
Product: Sensor-fusion annotation platform + managed services for autonomy data (camera, LiDAR, radar)
Founded: 2018
Headquarters: Gothenburg, Sweden
Notable customers: OEMs and Tier-1s including Qualcomm, Bosch, Continental, Zenseact, JLR
Total disclosed funding: Just over $31M (includes $24M Series A)
| Company |
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Data annotation and validation for autonomous driving, ADAS and robotics perception stacks.
2018
Software Development
€5.8M
Seed round investors included Ernström & Co and Stena Sessan AB
$24M
Series A co-led by Metaplanet and NordicNinja; existing investors participated
“Metaplanet, NordicNinja, Ernström & Co, Stena Sessan”