Braintrust

Use Cases

• Production Monitoring: Track LLM response quality in real-time with automatic scoring and alerting
• Quality Assurance: Define quality criteria and measure against them before shipping updates
• Cost Optimization: Break down LLM spend by model, feature, or team
• Compliance & Governance: Maintain audit trails with custom retention policies and data processing agreements
• Agent Development: Iterate on prompts and agent behavior with autonomous testing and feedback loops

Pricing & Access

Starter (Free)

• $0/month with $10 model credits
• 1 GB processed data/month
• 10K scores/month
• 14-day data retention
• No credit card required

Pro

• $249/month with $100 model credits
• 5 GB processed data/month
• 50K scores/month
• 30-day data retention
• Custom charts, environments, priority support, and RBAC
• 6-12 months free for qualifying startups

Enterprise

• Custom pricing
• Custom data retention and export
• Full RBAC and premium support
• On-premises or hosted deployment options
• Ideal for high-volume or privacy-sensitive data

Additional usage charges apply for overages: processed data ($3-4/GB), scores ($1.50-2.50 per 1K), and model tokens at published rates.

Who Is It For?

• AI-native teams building production LLM applications and agents
• Enterprise organizations requiring compliance, security, and custom deployment options
• Development teams needing comprehensive observability beyond traditional monitoring
• Product teams focused on measuring and improving AI quality metrics
• Startups building AI applications with access to extended free trial periods

Braintrust is particularly suited for teams that need to move beyond basic uptime monitoring to understand whether LLM responses are actually good, and who require production-grade evaluation infrastructure to maintain quality as their AI systems scale.