At Madrona, we have always been passionate about the transformative potential of AI. Today, we are excited to announce our investment in EdgeRunner, a company at the forefront of integrating AI into edge devices. This opportunity aligns with our belief in the massive potential of edge AI, a journey we have been on since our investment in Xnor.ai in 2017.
The integration of AI into edge devices—from mobile phones to laptops and data center servers—is a huge technical challenge and an imperative for many businesses. As enterprises explore how to make their business work with AI and find the right business model, they want to protect their data and operate safely with accurate results. The best way for many organizations is to do this in a secure data center, not the cloud. This is where EdgeRunner excels.
EdgeRunner offers a straightforward approach to controlling for large language model (LLM) hallucinations. By deploying proprietary models with exposed weights and measures, EdgeRunner ensures transparency and reliability. Their solution scales through integration with hardware providers and offers both on-premise and edge models, providing robust generative AI capabilities. This approach not only enhances the efficiency of AI deployment but also addresses the critical issues of safety and accuracy that are incredibly important to the broad adoption of AI.
EdgeRunner founders Tyler Xuan Saltsman and Colton Malkerson bring experience building core AI technologies — and working with enterprises and government agencies. They each have built products and services at Stability AI and AWS. Together, Tyler and Colton have built a technically proficient team committed to addressing the practical challenges businesses face today.
We look forward to partnering with EdgeRunner and Four Rivers Group on this exciting journey and are confident in their ability to make a significant impact in the world of edge AI.
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