Explore your datasets: unlocking insights with Kognic

Dataset exploration is critical when developing autonomous systems. Understanding your data enables better decisions about annotation strategy, model training priorities, and quality assurance—before annotation begins. However, exploring complex multi-modal autonomy data can be surprisingly challenging and time-consuming.

At Kognic, we believe that machines learn faster with human feedback—and that high-quality ground truth is the foundation of reliable perception systems. Our platform makes dataset exploration seamless and actionable, enabling you to understand your autonomy data deeply and translate insights directly into annotation workflows. By removing barriers to exploration, we help you deliver the most annotated autonomy data for your budget.

Many organizations rely on fragmented open-source tools or custom-built solutions for data exploration. These approaches lack integration with annotation workflows, making it difficult to act on insights about quality issues, edge cases, or workforce allocation. Kognic provides a unified platform that connects exploration directly to annotation execution—supporting both self-serve teams and managed annotation services for sensor-fusion autonomy data.

Embeddings

Embeddings transform complex sensor data into representations that enable similarity searches and pattern analysis across your dataset.

Kognic's embedding analysis lets you visualize data in multidimensional space. By examining clusters and patterns, you can identify annotation gaps, false positives, edge cases, and distribution imbalances—all critical for building robust perception systems. This accelerates dataset curation and helps you focus human feedback where it matters most, maximizing the value of every annotation hour.

Chunks

When you discover quality issues during exploration, you need to act immediately. Kognic makes it seamless to create chunks—curated collections of scenes requiring review or correction. Send these chunks directly into annotation workflows to maintain data quality and continuously improve your ground truth, ensuring your human feedback delivers maximum impact.

Gallery

The Gallery is your visual interface for dataset exploration, offering powerful filtering and navigation capabilities. Browse your multi-modal autonomy datasets by sensor modality, annotation class, metadata attributes, or custom properties. The Gallery enables rapid pagination through examples, helping you identify patterns, outliers, and quality issues. Apply sophisticated filters at both object and scene level to focus exploration on specific attributes or edge cases that require targeted human feedback.

Integrated within the Kognic platform

For perception engineers and ML practitioners, Kognic delivers an end-to-end solution from exploration through annotation to validation. Whether you're working with newly collected autonomy data or importing existing labels, our platform supports your workflow. The tight integration between exploration and annotation tools means insights translate directly into action—helping you integrate cost-efficient, scalable human feedback into your data pipeline and build higher-quality training datasets faster.

At Kognic, we are the price leader in autonomy data annotation. Our platform is built on the principle that understanding your data is fundamental to creating reliable ground truth—and reliable ground truth, guided by effective human feedback, is the foundation of trustworthy autonomous systems.