Confident AI
confident-ai.com
What it is
Confident AI is an AI quality platform for evaluating applications during development and monitoring them in production. Teams can experiment with prompts, models, and parameters, run automated regression evaluations in CI/CD, and assess results with more than 50 metrics. Production tracing records inputs, outputs, latency, tokens, and execution spans, while live alerts indicate declining quality. Red-team testing addresses safety vulnerabilities and adversarial attacks. The platform supports Python and TypeScript SDKs, OpenTelemetry, and more than 20 framework and gateway integrations. APIs cover prompt versioning, dataset creation, trace ingestion, project provisioning, and governance policies. It is available through web and API access, or can be self-hosted in AWS, Azure, or GCP using Docker; setup typically takes 1–2 weeks. The free plan includes two seats, one project, five weekly test runs, and 1 GB-month of trace spans. Paid plans start at $200 a month.
Spec sheet
- Product
- Confident AI is an AI Quality platform that provides development evaluations and production observability for reliable AI applications.Read 30 Sep 2026 · confident-ai.com
- API
- Every part of the platform is exposed through APIs for versioning prompts, building datasets, ingesting traces, provisioning projects, and assigning governance policies.Read 30 Sep 2026 · confident-ai.com
- Integrations
- Confident AI offers Python and TypeScript SDKs, OpenTelemetry, and more than 20 framework and gateway integrations.Read 30 Sep 2026 · confident-ai.com
- Security
- The documentation states that Confident AI is HIPAA compliant, offers SSO and customizable roles and permissions, and supports self-hosted deployment.Read 30 Sep 2026 · confident-ai.com
- Alerting
- The platform provides live alerting when AI quality degrades.Read 30 Sep 2026 · confident-ai.com
- Authentication
- The Confident API uses API keys with organization-level and project-level authentication.Read 30 Sep 2026 · confident-ai.com
- Data protection
- Confident AI states that data is encrypted at rest, protected by TLS in transit, and covered by SOC II and HIPAA compliance.Read 30 Sep 2026 · documentation.confident-ai.com
- Evaluation
- The platform supports prompt, model, and parameter experiments, automated CI/CD regression evaluations, and more than 50 metrics.Read 30 Sep 2026 · confident-ai.com
- Free-tier retention
- The data-handling documentation states that free-tier test-run and tracing data are retained for 14 days.Read 30 Sep 2026 · documentation.confident-ai.com
- Integrations notifications
- Project integrations can send evaluation-completion notifications to Slack, Discord, Teams, or email.Read 30 Sep 2026 · documentation.confident-ai.com
- Observability
- Confident AI traces AI executions with spans and captures inputs, outputs, latency, and tokens for production monitoring.Read 30 Sep 2026 · confident-ai.com
- Red teaming
- Confident AI provides red-team testing for safety vulnerabilities and adversarial attacks.Read 30 Sep 2026 · confident-ai.com
- Self-hosting
- Confident AI can be deployed in a customer's AWS, Azure, or GCP cloud via Docker and typically takes 1–2 weeks to set up.Read 30 Sep 2026 · confident-ai.com
- Users
- The platform is designed for engineers, QA teams, product managers, subject-matter experts, and annotators.Read 30 Sep 2026 · confident-ai.com
Plans and prices
Strong points and limits
Strong points
- More than 50 evaluation metrics
- CI/CD regression evaluations
- Production traces and live alerts
- Red-team safety testing
- Python and TypeScript SDKs
Limits
- Free-tier data retained 14 days
- Free plan limited to two seats
- Self-hosting typically takes 1–2 weeks
- Paid plans start at $200 a month
Who it suits
It suits engineers, QA teams, product managers, subject-matter experts, and annotators responsible for AI quality and governance. Teams needing hosted or self-hosted deployment can choose between those models.
Verdict
Confident AI combines development evaluation, production observability, safety testing, and governance APIs. Its free plan provides a small starting allocation, while larger usage requires paid plans or self-hosting.
Where Specifiction places it
- LLM Evaluation Tools#5 of 298.4
- AI Red Teaming Tools#5 of 278.4
- AI LLM Evaluation Tools#11 of 308.5
- AI LLM Observability Tools#10 of 238.4
- LLM Observability Tools#12 of 268.4