Processes vast amounts of complex data for safety-critical applications such as autonomous driving

Kognic, industry leader in machine learning tools for safety-critical AI, launches The Alignment Platform, a new offering that will allow AI businesses to accelerate their product development and ensure AI systems are trusted and safe.

As AI adoption and development continues to advance, McKinsey’s latest research reveals that models and tools are the biggest challenge for high-performing AI businesses. In the near future, everything that moves will need autonomous solutions, including automotive, heavy manufacturing and robotics industries. Kognic’s AI Alignment Platform fills this critical gap in the market, defining, refining and validating large datasets to train machine learning models.

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For the pioneering builders of AI, who often find the lack of dataset engineering tools to be the most challenging aspect of their work, Kognic provides an efficient and flexible toolset that enables developers to explore, define and refine their datasets.

Daniel Langkilde, CEO and Co-Founder at Kognic commented: “The future of positive, helpful and impactful AI will depend on aligning human and machine intent. As AI continues to develop at a rapid rate, the volume of data AI developers and businesses manage will explode. In order to manage these increasingly complex data models more effectively, our customers need enterprise-grade tools to get the job done.”

At the core of The Alignment Platform™ is Kognic’s industry-leading annotation engine which enables multi-sensor fusion – merging data from sensors such as radar, LiDAR and camera. With intuitive interfaces for visualizing complex sequences, Kognic’s solution speeds AI product teams’ efforts to explore, shape and explain their datasets. The fine-tuning capabilities of the solution provide significant efficiencies that are essential to gaining leverage on improving model performance for perception.

“At Kognic, we are relentless in our pursuit of safety,” said Oscar Petersson, CFO and Co-Founder. “The most common reason AI products and projects fail is because of misaligned expectations. Without human feedback, AI will try to solve the ‘how’ on its own and may make mistakes in the process. That’s why it’s so crucial that we make it as easy as possible to give feedback to AI systems to ensure high-performance and trust. This is vital for safety-critical applications such as robotics and autonomous driving.”

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Daniel Jeffries, Managing Director of the AI Infrastructure Alliance added: “The AI infrastructure landscape is evolving incredibly rapidly. Enterprises are facing increasing pressure to make sure their models and AI systems are safe and reliable. Innovative AI alignment platforms like Kognic will be essential in making sure that the next gen of models closely reflect our values and do what we want them to do much more often.”

Kognic’s composable architecture allows tailored workflows for a wide range of businesses, providing transparency for all stakeholders and enables enterprise orchestration and integration with pre-existing MLOps infrastructure, 3rd-party tools, internal and external annotation workforces, synthetic data generation, et al.

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