lakeFS
@tilde.run
Tilde started from a simple observation: AI agents are only as useful as the environment they can work in. Giving an agent a prompt is easy. Giving it the right files, credentials, tools, context, and execution environment, safely and repeatably, is much harder. Over the past year, we learned a lot from teams trying to […]
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About lakeFS
It provides a control plane for AI-ready data, helping teams manage datasets and workflows with versioning, branching, commits, and governance at scale. These capabilities support reproducible ML experiments, data quality practices, data contracts, and AI governance and compliance.
The company is developing lakeFS Mount, a composable filesystem for production AI workloads and agent infrastructure. Mount is designed to give AI agents efficient access to large data environments while supporting isolated, short-lived workspaces, changing working state, and movement from experimentation to production. It brings filesystem-style access together with lakeFS data controls, reducing the need to repeatedly copy data while helping preserve reproducibility and oversight.
lakeFS also offers solutions and resources for use cases such as agentic AI and ML experiments, alongside technology integrations including OpenShift AI and Iceberg. Customers and developers can access product documentation, quickstarts, sample notebooks, community channels, case studies, webinars, and educational materials, or contact the team to discuss implementation and book a demo.
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Computers Electronics and Technology
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