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What is AILM?

AILM ensures full traceability across models, processes, and knowledge—from model versions, parameter settings, and performance metrics to every incident, root-cause analysis, and improvement action. With AILM, organizations can establish a controllable, manageable, and inheritable AI knowledge governance framework, turning AI into a true long-term enterprise asset.

Why Do Enterprises Need AILM?

As AI adoption scales rapidly, enterprises face challenges beyond model development itself. Issues such as uncontrolled model versioning, knowledge gaps caused by key personnel turnover, and performance degradation over time (model drift) gradually emerge. These risks ultimately prevent AI knowledge from being accumulated and passed on, creating a widening governance gap.

AILM was built to address this challenge. Profet AI goes beyond helping enterprises build models—we establish a manageable, inheritable, and continuously improving knowledge governance framework, enabling AI to evolve from one-off projects into long-term enterprise assets that retain and compound value over time.

How to Start Using AILM？

Getting started with AILM doesn’t require a complex implementation process.
Enterprises can import existing AI models or AutoML datasets into the platform to centrally manage experiments and model versions, track history, analyze issues, and continuously optimize AI performance—establishing a complete, end-to-end AI management workflow.

Make Managing AI Simple

How AILM Works

In an era of widespread AI adoption, only by managing the full AI lifecycle can enterprises truly reduce risk and continuously create value. AILM integrates AI models, processes, and knowledge into a unified management framework, ensuring every decision is traceable and accountable.

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AI Application Library

Across 12 industries with 5,000+ AI use cases, helping you quickly identify where to start, what to do next, and where AI can deliver real business value.

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AI Initiative Management

Manage AI initiatives from definition to KPI tracking—transforming AI from development into true governance.

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AI Virtual Advisor

AILM Copilot helps resolve AI initiatives by exploring key parameters and optimizing models—shortening AI deployment time.

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Knowledge Accumulation & Reuse

Systematize domain expertise, models, best practices, and tuning strategies to build an inheritable enterprise AI knowledge foundation.

From unified management to continuous optimization, AILM turns AI from a mere tool into a controllable, manageable, and continuously growing core enterprise asset.

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