Enterprise
Bring ClearFeature into production with direct technical support.
Every ML stack is different. We can work with your team on architecture, deployment, migration, and the first production feature workflows.
Start with the open-source platform
Evaluation does not require a sales process. ClearFeature is Apache-2.0: clone the repository, run the quickstart, read the architecture docs, and put it in front of your engineers before you ever put it in front of us.
When direct support is useful
Some adoptions are straightforward. These usually are not:
Existing custom feature pipelines
Migration from batch SQL + online service
Credit or fraud decision systems
Self-hosted deployment design
First Feature Project design
Point-in-time migration
What we can discuss
Concretely, a working engagement can cover:
- Architecture review
- Deployment planning
- Migration from existing feature pipelines
- First production Feature Project
- Point-in-time migration
- Focused production pilot
- Rollout planning
- Technical support
Production adoption is architecture-specific.
Production deployments are scoped individually because architecture, integration, and support requirements differ across teams. Tell us about your environment and we can discuss the right deployment and support model.
A typical first step is a focused architecture conversation around one real feature workflow — not a generic enterprise sales process.
A typical evaluation path
No two adoptions are identical, but the shape tends to repeat:
1
Architecture conversation
2
Targeted pilot
3
Production adoption
Tell us about your feature infrastructure.
How do features get from research to production today? That one answer is usually enough to start a useful conversation.