Hyperparam Enterprise
Inspect and understand LLM behavior using real production data. Review model outputs, debug AI logs, and save reusable workflows as skills for team continuity.
Contact SalesUse cases
- A customer reports that your AI chatbot failed in production, and your team needs to trace the issue and assess its scope.
- A live demo is sidetracked because the AI doesn't respond or the model hallucinates in front of a prospect.
- Your AI team is iterating on the product and needs a repeatable way to track behavior after prompt, tool, or model updates.
The AI workbench for LLM datasets
- Inspect production LLM logs across the full dataset
- Filter by prompt, response type, tool call, or score
- Query the dataset in chat
- Create filters and derived columns
- Score outputs with LLM-as-a-judge
- Rerun useful workflows as skills on new production data
Why teams choose Hyperparam Enterprise
- Faster onboarding: Browser-native architecture supports a quicker path to inspection.
- Data protection: Work with private data without moving it into Hyperparam.
- Faster issue diagnosis: Quickly improve chatbot behavior with dataset-scale inspection and debugging.
- Reusable workflows: Ensure team continuity for AI workflows with reusable skills.
- Faster model adoption: Evaluate new models with more confidence and enhance velocity.
When to use Hyperparam Enterprise
- You ship changes on a regular cadence
- You need visibility into model behavior across real production logs
- You need to debug prompt issues or tool failures
- You want workflows to stay reusable across people and teams
Frequently asked questions
- Can Hyperparam Enterprise work with private data?
- Yes. Hyperparam Enterprise supports workflows that involve private data without requiring teams to move that data into Hyperparam. If your team has specific data-handling or deployment requirements, contact us to discuss the right setup.
- What kinds of issues can Hyperparam Enterprise help diagnose?
- Hyperparam Enterprise helps teams investigate production AI issues such as chatbot failures, tool failures, unexpected model outputs, and problems that surface during live demos or after product updates.
- How do workflows work in Hyperparam Enterprise?
- Teams can save reusable workflows as skills, making it easier to rerun useful inspection and analysis workflows on new production data and maintain continuity across people, projects, and ownership changes.
Get started with Hyperparam Enterprise
Talk to our team about your production AI needs.
Contact Sales