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AI & Sensor Fusion

Kognic launches The Alignment Platform to support AI product development

Izzy WoodBy Izzy WoodOctober 20, 20233 Mins Read
Daniel Langkilde, CEO and co-founder, and Oscar Petersson, CFO and co-founder, Kognic
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In response to AI businesses looking to accelerate their product development and ensure AI systems are trusted and safe, Kognic has launched The Alignment Platform, featuring an annotation engine that enables multi-sensor fusion, merging data from sensors such as radar, lidar and camera.

With intuitive interfaces for visualizing complex sequences, the new platform speeds AI product teams’ efforts to explore, shape and explain their data sets, Kognic says. In particular, the company highlights the solution’s fine-tuning capabilities, which provide significant efficiencies that are essential to gaining leverage on improving model performance for perception.

The company points to McKinsey’s latest research, which 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 says its AI Alignment Platform fills this critical gap in the market, defining, refining and validating large data sets to train machine learning models.

“The future of positive, helpful and impactful AI will depend on aligning human and machine intent,” explained Daniel Langkilde, CEO and co-founder, Kognic. “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 models more effectively, our customers need enterprise-grade tools to get the job done.”

“At Kognic, we are relentless in our pursuit of safety,” added 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.”

Daniel Jeffries, managing director of the AI Infrastructure Alliance, has welcomed the new platform: “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 says its 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, third-party tools, internal and external annotation workforces, synthetic data generation, and more.

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