Kognic Blog

How Kognic Helps Clients Deliver Safe, Market-Leading Autonomous Systems

Written by Björn Ingmansson | Jul 13, 2022 1:24:00 PM

The future of mobility demands more than technical innovation—it requires safe, reliable autonomous systems that align with human expectations. At Kognic, we specialize in turning human judgment into high-quality training and validation data that machines can learn from. Our mission is simple: Machines learn faster with human feedback.

As a prospective customer or industry partner, you might wonder how we approach the complex challenges of autonomy data annotation. This post explains how we work with clients to deliver cost-efficient, scalable human feedback that accelerates their autonomous systems development. We'll share examples of common challenges we help solve. Want to discuss a specific problem? Contact us.

Defining Quality Requirements and Safety Cases

Before deploying autonomous systems, you need to validate safety. But determining what to measure and to what quality level can be challenging, especially when facing evolving regulatory requirements and safety standards.

Our Ground Truth platform

During onboarding, we gather detailed information about your quality requirements and safety case. Leveraging our participation in standardization groups and research projects, we help create the ground truth necessary to train algorithms with high-quality data and validate perception systems against real-world scenarios.

Our data serves as the reference point for system validation, comparing your model outputs against our ground truth. We help you interpret metrics to make better engineering decisions and build evidence that supports regulatory compliance.

Establishing Consistent Annotation Guidelines

Clear, consistent annotation guidelines are essential for reliable ground truth. We work with clients to establish guidelines that are accurate, consistent, and interpretable across all teams. This collaborative process ensures we measure what matters to the necessary quality standards.

Once we receive labeling guidelines, we review them and propose improvements based on our expertise. This process—which can take days or weeks depending on complexity—includes testing to validate that guidelines produce the reliable ground truth needed for safe autonomous systems.

Cross-Functional Collaboration

Successful projects require alignment across technical teams, safety engineers, and leadership. We engage stakeholders at every level to understand your workflows, requirements, and objectives. This ensures we deliver solutions that integrate seamlessly into your development pipeline.

Our end-to-end platform brings teams together toward common goals, ensuring everyone works from the same ground truth. We assign dedicated account teams with domain expertise to support you throughout the project lifecycle, from initial onboarding through ongoing delivery.

Continuous Improvement Through Partnership

We value the continuous feedback loop with our partners. Your insights help us evolve our platform to better serve the autonomy industry. By providing the tools you need to achieve quality, performance, and safety goals, we're constantly improving our processes to deliver greater value.

At Kognic, we're the price leader in autonomy data annotation because of our unique combination of Platform, Process, and People. We establish collaborative partnerships built on trust and shared objectives. When you work with us, you get the most annotated autonomy data for your budget. Ready to get started? Get in touch.