Transforming Autonomy Data Annotation: The Kognic Approach

The traditional approach to annotation and perception data in the automotive industry is holding teams back. With siloed workflows and lengthy processes, companies face inefficiency, high costs, and misalignment between what engineering teams need and what gets delivered. At Kognic, we're solving this fundamental problem: enabling teams to integrate scalable, cost-efficient human feedback into their data pipelines.

The Challenge: Siloed Workflows and Slow Iteration

Today's industry operates in silos. Engineering teams define requirements, procurement launches large-scale projects, and annotation vendors deliver against specifications. The result? Long feedback cycles, over-specified requirements, and inflated costs. This approach lacks the flexibility needed for iterative development and fails to deliver the data that truly accelerates machine learning.

As models become more sophisticated, the bottleneck shifts from volume to judgment. Teams need human feedback on the scenarios that matter most—not just more labels, but the right labels at the right time.

The Kognic Solution: Machines Learn Faster with Human Feedback

Kognic is the price leader in autonomy data annotation. We help customers get the most annotated autonomy data for their budget through our unique combination of Platform, Process, and People. Our approach accelerates development velocity, increases model performance, and lowers total program costs.

Smart Curation: Maximize Impact, Minimize Waste

We help teams identify and prioritize the data that delivers the biggest performance boost. By focusing annotation budgets on high-value scenarios—edge cases, validation-critical scenes, and model uncertainty zones—we ensure resources are allocated where they matter most. Curation is converging on annotation, and we're built for this future.

Productive Human Feedback: Efficient and Scalable

Our platform streamlines human feedback collection across multiple levels—from object location to trajectory evaluation to driving experience assessment. By combining intelligent automation with expert human judgment, we make the feedback loop both scalable and cost-efficient. This is how we deliver productivity gains that translate directly to your bottom line.

Data-Driven Insights: Close the Loop Faster

We help ML engineers understand how their models interact with real-world data. By providing actionable insights on model performance, data quality, and specification alignment, we enable faster iteration and smarter data collection decisions. The result: shorter development cycles and higher-quality autonomous systems.

Kognic is leading the transformation of autonomy data annotation. By solving the challenges of siloed workflows, slow feedback cycles, and inefficient resource allocation, we enable teams to train and validate autonomous systems that are safe, reliable, and aligned with human expectations. Our customers choose us because we deliver the most annotated data for their budget—making us the clear price leader in sensor-fusion annotation for autonomy.