Guided eval flows, scheduled runs, golden dataset management and integrated frameworks out of the box. Create custom, project-specific evaluation criteria that are both ML-based and LLM-as-a-judge based. Catch regressions before your users do.
Continuous model quality checks
Guided evals, golden datasets, and automated regressions in one flow.
Auto
Regressions
Versioned
Datasets
Always On
Quality Gate
Evaluation Capabilities
Review every part of the Gaugetuple workflow from integrated frameworks to dataset and agent quality management.
Six evaluation providers and 29 eval types, built in. Run deterministic metrics, rubric-based LLM-as-a-judge, and NLP benchmarks side by side, without writing boilerplate.
OpenAI Evals
Run OpenAI's evaluation suite against your models and prompts natively.
Custom LLM grader
Write your own rubric, reference any dataset column, and return structured verdicts, not just a score.
Framework Stack
Industry-standard evaluation frameworks, operational workflows and agent tooling, all integrated out of the box.
OpenAI Evals
Deepgram Evals
RAGAS
Custom ML Classifiers
LLM-as-a-Judge
Guided Eval Flows
Scheduled Evaluations
Golden Dataset Management
Auto-Linked Datasets
Job Management
Dialogtuple Agent Helpers
Gaugetuple keeps evaluation repeatable and audit-ready with dataset versioning, scheduled jobs, and traceable criteria across every release.
Deployment Architecture
Deploy wherever your security and compliance requirements demand.
AWS, Azure, or Google Cloud Platform with automated scaling and redundancy.
Best for: fastest global rollout
Full deployment on private infrastructure with complete data sovereignty.
Best for: regulated workloads
Ships as Docker Compose with optional Helm and Terraform modules.
Best for: custom platform stacks
Built-in Prometheus/Grafana observability with secure LLM proxying.
Best for: production monitoring
