Juna.ai was founded in 2023 by Matthias Auf der Mauer and Christian Hardenberg. The company has built its own custom AI models using open-source tools such as TensorFlow and PyTorch, and uses reinforcement learning to train its models. While currently serving as a "copilot" to operators, the company has plans to offer pre-trained AI agents in the future. Despite concerns about data privacy, Juna.ai assures customers that all data remains in Germany and is used to unlock latent value from vast banks of data.
Key takeaways:
- German startup Juna.ai has raised $7.5 million in a seed round from Kleiner Perkins, Norrsken VC, and John Doerr, aiming to help factories be more efficient by automating complex industrial processes.
- Juna.ai's software integrates with manufacturers' production tools and uses historical data to train in-house agents to optimize machinery settings, ensuring peak efficiency with minimal waste.
- While currently serving as a 'copilot' to operators, Juna.ai has the potential to run autonomously, though the focus is on building trust with customers before implementing this feature.
- In the future, Juna.ai plans to offer 'pre-trained' AI agents that can be used across different customers with similar machinery, potentially overcoming data privacy concerns.