Confident AI

Confident AI provides an integrated platform for evaluating, observing, and governing AI systems within enterprise environments. It supports engineers, QA, product teams, and domain experts to standardize AI evals and monitor production traces, aiming to make AI development and deployment more reliable and collaborative. The platform emphasizes centralized workflows, shared datasets, and governance across teams.

Confident AI enables experimentation in development, tracing and online evals in production, and red-teaming for safety. It integrates traces, datasets, evals, and annotations in one workspace, enabling teams to move from detection to resolution without exporting data to external tools and without relying on scattered processes.

Confident AI supports a range of capabilities from building and auditing prompts, models, and datasets to monitoring latency and quality trends over time. It provides integration with observability and governance features, including RBAC, data masking, and multi-region residency, to help enterprises manage AI outputs and compliance.

Confident AI offers deployment options on self-hosted or cloud environments, with data residency controls and enterprise-grade SLAs. It supports on-prem, AWS, Azure, and GCP, with HIPAA, GDPR, and other compliance considerations, and emphasizes configurable permissions and governance for large organizations.

Use cases

• Evals in development and CI/CD
• Observability in production
• Red-teaming and safety