In the world of autonomous systems, one size definitely doesn't fit all. That's why choosing the deployment model that best fits your development pipeline and team structure is important. Whether you need full-service support, self-service tools, or a combination of both, Kognic adapts to how you work—not the other way around.
As autonomous systems grow more sophisticated, one truth becomes clear: human feedback quality remains the biggest lever on data quality. Expert judgment is becoming more critical than ever for training models that align with human intent and real-world expectations. And when you have the right deployment model in place, flexibility accelerates your experimentation cycles—ensuring that data annotation supports rather than blocks your team's ability to iterate quickly and improve models continuously.
Kognic offers three flexible deployment options to match your team's needs and development approach.
Managed Service provides access to our complete platform and expert annotation partners. This is a full end-to-end solution where Kognic manages the entire annotation workflow, giving you access to our vetted network of domain experts and annotation specialists. It's ideal for teams who want to focus on model development while we handle data operations—offering the fastest path to high-quality annotated data with minimal internal overhead.
For teams with established internal annotation operations, the Platform License lets you deploy our annotation tools within your existing workflows. You get self-service access to Kognic's industry-leading annotation platform with full control over your annotation team and processes, while maintaining complete data security and workflow autonomy.
The Hybrid Solution combines our platform with your preferred workforce solution, offering the best of both worlds: platform efficiency with workforce control. You can use Kognic's platform with your own annotation team or preferred partners, with the flexibility to scale up or down with Kognic's managed services as needed. This approach adapts as your project requirements evolve.
Regardless of which deployment model you choose, you benefit from three key pillars that make Kognic the most productive platform for sensor-fusion data.
Our platform is purpose-built for autonomy data. We offer native sensor-fusion support across camera, lidar, and radar, with AI-assisted annotation tools that reduce manual effort by up to 3x. Advanced QA workflows and metrics ensure data quality at scale, while seamless integration with your existing ML pipelines via API keeps everything running smoothly.
Our processes are proven workflows that scale. We've developed battle-tested annotation guidelines and quality rubrics, combined with dynamic task allocation that routes work to the right experts. Multi-layer QA processes—from automated checks to peer review—ensure consistent quality, backed by continuous performance monitoring and optimization.
Our people bring domain expertise when you need it. You get access to specialists with deep experience in ADAS/AD perception, supported by a global workforce operating under strict ethical standards. We offer flexible scaling to meet changing project demands, along with expert consultation on annotation strategy and data requirements.
With Kognic, you get the most annotated sensor-fusion data for your budget—enabling you to train better models faster, regardless of how you choose to work with us.