Empowering global leaders to accelerate Embodied AI development

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Annotating sensor-fusion data is expensive. 

Developing accurate, representative datasets for machine learning requires significant expertise and resources.
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How do we build annotation guidelines for sensor-fusion?
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How can we manage large multi-sensor datasets?
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How do we ensure annotation accuracy across sensor types?
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What are the best practices for merging and syncing sensor data?
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How do we train for complex labeling tasks?
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Do you have any efficient QA measures for annotations?
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How do we build annotation guidelines for sensor-fusion?
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How can we manage large multi-sensor datasets?
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Do you have any efficient QA measures for annotations?
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How should we address data privacy in annotation processes?
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How do we mitigate sensor drift and calibration errors?
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Can we automate a dataset production pipeline?
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How can we leverage auto-labels to speed annotations?
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How can we manage multiple missions, teams and tasks?
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How can we easily visualize other datasets?
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How do we address sensor hardware limitations?

Reduce costs with Kognic

Our auto--label co-pilot exemplifies how we help industry leaders bring cost efficiency to ground-truth production.

Up to 68% time saved in annotation

Kognic's co-pilot roadmap includes key integrations:

Bounding boxes ✓

Cuboids ✓

3D lanes & lines - soon

SemSeg - soon

Power your entire pipeline.

Import. Annotate. Verify. Export.

Perception Experts

Efficiently calibrate sensor-fusion across complex and simple scenarios. 

Produce high-quality datasets via efficient QA and review flows.

Engineering Managers

Ensure timely delivery of large-scale
annotation projects at low cost.

Ensure secure data with security, access control, and compartmentalization.

Annotators

Utilize our automation to enhance
labeling efficiency

Access expert onboarding and continuous training to increase performance.

Your data, your way.

Whether you need a platform to annotate data or want to procure annotated datasets, we are your ideal partner.
Sensor Fusion 9

Graphic-device-purple Annotated Datasets

Leverage our managed workforce of trusted and vetted BPO partners

 

Graphic-device-purple Platform Licensing

Use our annotation platform with your internal team.

 

Graphic-device-purple Hybrid Approach

Combine our platform with your preferred BPO partners.

Want to try Kognic?

Explore a comprehensive dataset from our customer, Zenseact. You'll be able to create new annotations in the Zenseact Open Dataset.

ZOD is a vast, multi-modal dataset showcasing three typical use cases from 2D/3D segmentation to Object detection and 3D Lanes sequences. 

Get Access

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Our product team is excited to announce wider auto-label coverage in our co-pilot feature. The enhanced capabilities now include support for relationship and geometry collection, 3D Lanes, and 3D Points. With up to 68% reduction in annotation time already achieved, we're extending these productivity benefits across all projects.

Read more here

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Measure, optimize and streamline your annotation workflows

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Introducing Annotation Productivity Analytics

We're excited to announce our new Annotation Productivity Analytics feature! This comprehensive solution provides real-time insights into your annotation workflows, helping teams optimize their performance while maintaining high-quality standards.

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INSIGHTS

Modern tooling for efficient AI development

Looking to optimize your autonomous driving development? Our latest blog post explores how modern annotation platforms are helping the industry with AI-assisted tools that balance speed and quality, while reducing costs and time-to-market.

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Driving the Future: Kognic on SAE Tomorrow Today Podcast

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2024 in review

🎄 As we wrap up 2024, we're celebrating a year of remarkable growth. From Tracking Assist 2.0 to our own co-pilot capabilities, we've continuously evolved to meet your needs. Thank you for being part of our journey!

Read more here

COMPANY

Kognic announces a partnership with Kodiak Robotics

We are excited to announce that Kodiak Robotics, a leading autonomous truck developer, has chosen Kognic’s data labeling platform to scale its annotation pipelines reliably and efficiently.

Read more here