Tensorlake, as a next-generation AI infrastructure platform, solves the "infrastructure chaos" problem

Tensorlake has launched a new serverless infrastructure platform for organizations looking to design and operate AI agents. The platform provides the foundation for scaling autonomous systems. This startup is dedicated to solving the complex “infrastructure chaos” that enterprises face when integrating autonomous AI agents into their workflows, by consolidating various computing, coordination, and data pipeline tools into a single platform.

Tensorlake CEO Deepthanu Gon Choudhury confidently stated, “Modern models can operate reasonably well, but the infrastructure supporting them is too complex. With Tensorlake, teams can focus on business logic.” He explained that the platform transforms data into production-ready inputs, enabling AI agents to withstand system shocks and continuously perform tasks.

Tensorlake’s core strength lies in its powerful data processing “unified agent platform,” which can run across AWS, Microsoft Azure, and Google Cloud environments. Currently, the platform is used by multinational car rental company Sixt SE and several large U.S. financial institutions.

The startup has raised a total of $8.6 million so far. Constellation Research analyst Holger Müller highly praised the platform’s innovative contribution, noting, “The emergence of Tensorlake marks a new phase of competitive framework in the AI industry.”