
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”
About Kognic Kognic helps car manufacturers & suppliers develop self-driving vehicles. Our software merges and visualizes sensor data from vehicles that is analyzed and labeled by people, turning raw data into valuable input for autonomous machines. We are on an exciting path towards profitability and are actively building marketing momentum as we achieve product-market-distribution fit across our target markets. That's why we need you! The role In the role of Data Specialist, you will work closely with leading automotive customers at the forefront of autonomous driving and AD/ADAS perception model development. As the technical expert within the account team, you will play a key role in ensuring the delivery of high-quality training data for these models.
You will own the technical setup of each project, serving as the central point for data quality, workflow optimization, customer onboarding, and technical communication. The role blends deep domain expertise in autonomous driving with hands-on involvement in data and annotation workflows, as well as strong cross-functional collaboration both internally and with customers.
Examples of topics our team addresses include: determining the level of detail required in ground-truth annotations to deliver reliable system KPIs and support safety validation. As well as advising clients on how the objective of building safe autonomous vehicles translates to perception system KPI requirements, as well as annotation context, content, and quality.
We are looking for you! We're looking for someone who ticks the following boxes:
Why Kognic? We are in it to win, and have a lot of fun while doing it! To be part of Kognic is to be part of a purpose-driven company with strong values where we, together, create what Kognic will be tomorrow. Besides working with around 100 talented and humble people from many different nationalities, in a fun and creative environment, we also have many other great benefits!
From our early days as a pure start-up to our current life as a scale-up, we work in a dynamic environment, which means that every day might be different from the next, but that is exactly how we want it. Kognicians all have a strong desire to explore uncharted territory and a willingness to constantly be learning.
Join us We recommend that you submit your application as soon as possible since we select and perform interviews continuously. We do not require any cover letter but ask you to share your resume and answer a couple of questions in the application
You are more than welcome to have a look at our career website to read more about our recruiting process. If you have any questions regarding the position, please contact our Hiring Manager, Sara Roth (sara.roth@kognic.com)
About Kognic Kognic was conceived in the curious minds of Daniel Langkilde and Oscar Petersson, two engineering students, who dared to dream big and help machines make sense of our messy, chaotic, and unstructured world. Kognic's pioneering dataset management solution helps companies accelerate the development of high-performing and trusted AI products, focusing on bringing the most advanced driver-assistance systems (ADAS) and autonomous driving (AD) to market.
Bachelor’s degree in a relevant field (Computer Science, Data Science, Information Systems, Automotive engineering, Machine learning)
5+ years of experience in data quality or related fields, with a focus on AD/ADAS perception systems
Expertise in AD/ADAS perception use cases (sensor modalities, annotation requirements, dataset design) to achieve specific system objectives
Hands-on experience in machine learning for AD/ADAS, with a strong grasp of how annotated data impacts model training, system performance, and safety compliance.
Deep understanding of data annotation workflows and quality assurance for training perception models in autonomous driving applications.
Experience using Python and working in databases (SQL) or similar languages
Experience in customer interactions (conducting technical demos, data analysis, addressing customer-specific needs)
Strong communication skills, translating complex technical concepts for cross-functional teams
Ability to manage multiple projects, ensuring high productivity while maintaining data quality standards.