
AI-powered network for vetted tech freelancers
Visit WebsiteReviews onG2
182 reviews trackedThe Bottom Line
Entry price
From $50/mo (free plan available)
Biggest pro
AI evaluation platform
Biggest con
Newer platform
TL;DR - Braintrust
- AI observability platform with free tier (1M spans) and $249/month Pro plan
- Evaluate, test, and monitor LLM applications with side-by-side trace comparisons
- Trusted by Notion, Stripe, Vercel with customers reporting 30%+ accuracy improvements
Pricing: Free plan available
Best for: Growing teams
4.5/5 across review platforms
What is Braintrust?
Braintrust is a talent network that connects companies with technical freelancers. AI-powered matching finds the right talent for your project. 100% of payment goes to talent - no markups or hidden fees. Vetted professionals in engineering, design, and product. Companies like Nestle, Porsche, and Nike use Braintrust. A talent marketplace where talent keeps what they earn.
Available on: Web
Pros & Cons
Pros
- AI evaluation platform
- Good for testing
- Active development
- Good features
- Fair pricing
Cons
- Newer platform
- Learning curve
- Feature gaps
- Documentation improving
- Still maturing
Ratings Across the Web
4.5(182 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
LLM evaluationPrompt testingModel comparisonA/B testingLoggingDataset management
Pricing Plans
Free TrialFree
Free
For exploration
- Unlimited evals
- Basic logging
- 3 users
- Community support
Pro
$50/month
For teams
- Unlimited users
- Advanced analytics
- SSO
- API access
- Email support
Enterprise
null
Large organizations
- Custom deployment
- SAML SSO
- Dedicated support
- SLA
Reviews
4.5/5
Across 182 verified user reviews on G2
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Braintrust FAQ
What is Braintrust?
Braintrust is an AI evaluation platform with tools for testing, logging, and managing prompts for production AI applications.
Is Braintrust free?
Braintrust has a free tier. Team and Enterprise plans offer more features.
What is AI evaluation?
AI evaluation systematically tests LLM outputs for quality, safety, and consistency before and after deployment.
Source: braintrustdata.com