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Active observability for inspecting agent traces and discovering production behavior patterns.

Use a vendor-neutral API specification to evaluate feature flags through compatible SDKs and providers.

Fit, evaluate, and reuse Python models for common supervised and unsupervised machine-learning tasks.

Agent tracing, online evaluation, and alerts for monitoring production AI behavior.

Enterprise platform for testing, monitoring and evaluating AI systems in production

AI evaluation, deployment and public consequences

Trace LLM and agent runs, then monitor production quality, latency, errors, and cost in dashboards.

A managed cloud database for transactional SQL, analytics, and multi-model workloads.

Applicant tracking with reusable evaluation forms on candidate records

Open-source tracing and production evaluation for LLM applications and agents.

Trace, analyze, and improve LLM and agent applications in a hosted or self-managed workspace.

Accessibility indicators that support manual page evaluation

AI developer platform with Opik for LLM observability, evaluation, and agent debugging.

Independent TOEFL guides, sample answers and speaking or writing evaluation services.

Trace and investigate AI application calls with a local or self-hosted observability interface.

Trace AI application behavior, surface recurring issues, and monitor agent quality, latency, and cost.

Retail and custom fonts with full families available for design pitches.

Variable and static font systems with detailed script and alternate-character views.

Centralize alert rules across metrics, logs, and database sources you already run.

Build candidate assessments and reference checks around each job, with control over who sees the results.

Evaluate work samples and job simulations, then review the responses behind assessment scores.

Original type with detailed online testing and downloadable demo builds.

Retail fonts, a Mac evaluation app and a free Fieldstone desktop licence.

Retail type families and custom type design with trial access.