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Liminal Case Studies

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    4.7 / 5.0
    Customer References6 total
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    Meibel delivers the runtime platform to connect models to data, measure confidence, and operate AI systems with transparency and control. This includes showing how outputs are created, which data contributed to them, how confident the system is, and when a human should step in. By embedding explainability into the runtime, they help teams monitor, evaluate, and improve AI performance continuously.

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    4.7 / 5.0
    Customer References6 total
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    Nscale is the Hyperscaler engineered for AI, offering high-performance compute optimised for training, fine-tuning, and intensive workloads. From their data centres to software stack, they are vertically integrated to provide unparalleled performance, efficiency and sustainability.

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    4.7 / 5.0
    Customer References9 total
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    Seldon is a data science and machine learning operations platform on a mission to empower Data Scientists, ML Engineers, and MLOps teams to deploy, monitor, explain, and manage their ML models. With Seldon, organizations can minimize risk and drastically cut down time-to-value from their models organization offers both an open-source framework, Core, which focuses on model deployment, and an enterprise product, Deploy Advanced, which builds on this functionality to power model monitoring, explainability and management.

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