Foundation Model Capabilities
Move models from R&D validation to stable, governed services
- Model Training
- Model Fine-Tuning
- Inference Services
- Evaluation & Alignment
- Tool Invocation
- Knowledge Augmentation
Move models from R&D validation to stable, governed services
A complete lifecycle spans training, adaptation, evaluation, release, and operations across general-purpose and industry models. Shared model assets, inference services, and knowledge augmentation let business teams reuse intelligence within defined security boundaries.Capability Matrix
Model Training
Coordinate data preparation, distributed training, version records, and run observability to produce reusable model assets.
Model Fine-Tuning
Adapt general models efficiently to industry corpora and focused tasks so they understand organizational knowledge and rules.
Inference Services
Standardize model access, elastic scheduling, rate control, and service monitoring for stable responses under changing load.
Evaluation & Alignment
Build evaluation sets and comparison workflows around accuracy, safety, and task completion so behavior is verifiable.
Tool Invocation
Connect retrieval, enterprise systems, and execution tools through standard interfaces so models can complete traceable work.
Knowledge Augmentation
Combine retrieval, knowledge bases, and context orchestration to ground responses and decisions in trusted information.
Delivery Path
Define Data & Tasks
Set business goals, sample boundaries, sources, and evaluation criteria.
Train & Adapt
Select the right model and shape it for the target scenario.
Evaluate & Release
Validate quality, safety, and performance before publishing a shared service.
Operate & Improve
Observe usage and turn feedback into new versions and knowledge.
Capability Value
- Manage models from multiple providers and domains in one place
- Shorten the engineering path from validation to business service
- Create an evaluable, traceable, continuously improving model loop
