The pre-seed investment round was co-led by Storytime Capital and Focal VC, with participation from Hustle Fund, Precursor Ventures, the Pitch Fund and several unnamed strategic angel investors. The founders, who immigrated to the U.S. from Afghanistan, have expressed gratitude for the opportunities they've had in the U.S. and are driven to succeed. They plan to use traditional machine learning and AI to forecast consumption and are considering using large language models for troubleshooting in the future.
Key takeaways:
- Thoras.ai, a company founded by twin sisters Nilo Rahmani and Jennifer Rahmani, has announced a $1.5 million pre-seed investment. The company aims to improve how engineers source Kubernetes workloads, moving away from intuition and towards data-driven decisions.
- The company's product integrates with a cloud-based service and monitors its usage, with the goal of forecasting demand and autonomously scaling the application in response to traffic changes. It also alerts engineers to performance issues before they escalate.
- Thoras.ai's application connects directly to the company’s development environment, prioritizing security and privacy. Developers are provided with a dashboard displaying key information about the application’s resources.
- The pre-seed investment was co-led by Storytime Capital and Focal VC, with participation from Hustle Fund, Precursor Ventures, the Pitch Fund and several unnamed strategic angel investors.