Braintrust
braintrust.devActive observability for inspecting agent traces and discovering production behavior patterns.
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.
Agent tracing, online evaluation, and alerts for monitoring production AI behavior.
Fit, evaluate, and reuse Python models for common supervised and unsupervised machine-learning tasks.
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.
Open-source tracing and production evaluation for LLM applications and agents.
Accessibility indicators that support manual page evaluation
A managed cloud database for transactional SQL, analytics, and multi-model workloads.
Applicant tracking with reusable evaluation forms on candidate records
Trace, analyze, and improve LLM and agent applications in a hosted or self-managed workspace.
AI developer platform with Opik for LLM observability, evaluation, and agent debugging.
Independent TOEFL guides, sample answers and speaking or writing evaluation services.
An LLM operations platform for tracing production calls and watching quality, cost, and latency.
Original type with detailed online testing and downloadable demo builds.
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.
Retail fonts, a Mac evaluation app and a free Fieldstone desktop licence.