Sold by: Braintrust
Deployed on AWS
Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it.
Teams at Lovable, Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions-turning production data into better AI with every release.
4.3
Overview
Braintrust is the agent observability platform. By actively applying intelligence to agent traces and automatically surfacing the most critical patterns, Braintrust gives teams the visibility to understand how agents behave in production and the tools to improve them.
Teams at Notion, Stripe, Box, OpenAI, and Cloudflare use Braintrust to trace their agents, find the issues in their observability data, and run evals that tell them how to improve.
Braintrust provides:- Data + Instrumentation: turning traces and outputs into structured eval datasets.
- Active observability: autonomous and continuous intelligence on top of your observability data, surfacing the patterns that matter.
- Evals: defining what "good" means, measure against it, and determine how to improve your agents.
- Iteration: comparing prompts, models, and versions to improve quality, cost-effectively.
- Quality gates: automated checks that prevent regressions from reaching production
- Improvement loop: AI-powered tools that speed up the entire development cycle.
Highlights
- Loop: A specialized agent for querying observability and trace data. Ask follow-up questions in plain language and get answers backed by your production data.
- Brainstore: Braintrust's database for agent observability. Search and filter millions of traces in under a second, including full-text search across prompts and error messages.
- Scalable architecture with enterprise-grade security: Braintrust is RBAC, SSO, SAML, HIPAA and SOC II compliant and offers a hybrid deployment model for customers with certain data requirements.
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Trust Center
Access real-time vendor security and compliance information through their Trust Center powered by Drata or Vanta. Review certifications and security standards before purchase.
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Enterprise SaaS License | Contact Us For Private Offer Pricing at info@braintrust.dev. | $250,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
Usage | Usage-based credits for data volume, scores, and data retention | $0.01 |
Dimensions summary
Braintrust offers two ways to buy. The Usage dimension bills you with credits that scale by consumption. You pay based on data volume processed, the number of scores run against your outputs, and how long data is retained. This lets your cost move up or down with actual activity. The Enterprise SaaS License is a fixed-term contract set through a private offer. You arrange this pricing directly with the vendor at info@braintrust.dev, which suits high-volume or privacy-sensitive deployments. Together, these dimensions let you choose between pay-as-you-go usage credits and a negotiated committed license.
Top-of-mind questions for buyers
Usage credits cover three metered activities. Processed data is measured in gigabytes per month. Scores count each output graded by an LLM-as-judge, automated check, or custom scorer, billed per 1,000 scores. Data retention is measured per gigabyte per month beyond the included period. Model credits also apply, then token rates.
Three metrics combine on one invoice: processed data, scores run against outputs, and data retention. Data volume tends to dominate for high-traffic applications with heavy tracing. Scores drive cost when you grade a large share of outputs. Retention grows for teams keeping data long past the included period.
The Usage dimension meters actual consumption. Charges rise and fall with data processed, scores run, and retention used, so cost tracks activity. The Enterprise SaaS License is a fixed-term contract priced through a private offer. You arrange terms directly with the vendor, which suits high-volume or privacy-sensitive deployments.
www.braintrust.dev
Helpful?
Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Email us at info@braintrust.dev .
Join us on Discord!
https://www.braintrust.dev/contact
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Brain Machine Learning proprietary platform is exploited to generate a daily stock ranking based on the predicted future returns of a universe of 1000 stocks on five time horizons: 2,3, 5, 10 and 21 days (other time horizons could be developed and tested upon request). The model implements specific machine learning techniques to combine a variety of features with a series of techniques aimed at mitigating the well-known overfitting problem for financial data with a low signal to noise ratio.
Kriv AI instruments your Claude-on-Bedrock agents with OpenTelemetry + AWS X-Ray + Amazon CloudWatch GenAI Observability. Defines SRE-grade Service Level Objectives (latency p95 / p99, success rate, tool-use correctness, grounding score, cost-per-successful-invocation) with error budgets. Alerts to PagerDuty / Opsgenie / Jira / ServiceNow / Slack / Microsoft Teams. Runbook library + blameless post-mortem templates (Google SRE format). Hybrid engagement: $40K 3-week Implementation + optional $8K / $14K / $20K monthly Managed-Service retainer (up to 3 / 10 / unlimited agents). 12-month minimum term on retainer. Enterprise tier adds 0.25 FTE dedicated Kriv SRE engineer embedded with Customer SRE team + regulated-industry evidence (SOC 2 CC7 + SR 11-7 + EU AI Act Article 72 + HIPAA §164.308(a)(1)(ii)(D)). AWS Select + Databricks + Anthropic CPN.
Scale customer support without scaling headcount. The Brainfish Growth Plan combines AI self-service agents with automated doc creation to deflect repetitive tickets, unify knowledge, and empower faster onboarding and adoption
The Brain Language Metrics on Company Filings (BLMCF) dataset has the objective of monitoring several language metrics on 10-Ks and 10-Qs company reports for approximately 6000+ US stocks. Example of metrics are financial sentiment, percentage of specific language type in the document (e.g. litigious language) and similarity among documents. This extended version provides additional language metrics and an analysis of the whole report together with specific report sections (e.g. Risk Factors).
Customer reviews
Stephanie B.
Clean, Central Dashboard That Instantly Tracks Performance and Catches Errors
Reviewed on Aug 27, 2026
Review provided by G2
What do you like best about the product?
It’s clean, central dashboard that tracks performance data and catches errors instantly.
What do you dislike about the product?
There are some impersonal AI screening tools and rigid platform processes.
What problems is the product solving and how is that benefiting you?
It solves the problem of unpredictability and lack of visibility.
Bhaskar D.
Clear Visibility Into AI Agent Performance and Results
Reviewed on Aug 27, 2026
Review provided by G2
What do you like best about the product?
What I like most about Braintrust is how it makes it easier to see what’s happening with an AI agent once it’s running. I can review the agent’s responses and results, which helps me catch issues, understand what went wrong, and see where the agent needs improvement.
What do you dislike about the product?
I think Braintrust can feel a bit technical when you’re first getting started with it. There’s a lot to learn upfront, and at the beginning it can take some time to find the right information—especially when you’re trying to check an agent’s performance.
What problems is the product solving and how is that benefiting you?
Braintrust helps me see more clearly when an AI agent is giving strong responses versus weak ones. With the feedback and performance data, I can spot issues, compare results across runs, and make targeted improvements to the agent rather than relying only on guesswork.
Karnala H.
One-Stop HR Software for End-to-End Processes
Reviewed on Aug 27, 2026
Review provided by G2
What do you like best about the product?
It’s a one-stop solution for HR to handle the end-to-end process in one software.
What do you dislike about the product?
The Braintrust website mainly focuses on tech roles, which I really dislike.
What problems is the product solving and how is that benefiting you?
Braintrust is helping me find the right candidates, screen them, and hire more efficiently. With this software, I can automate much of the process and manage hiring in a more streamlined way.
Joseph W.
A Broad Applicant Pool That Helps Us Find the Right Talent
Reviewed on Aug 27, 2026
Review provided by G2
What do you like best about the product?
I’ve found that this tool really helps us identify specific talent in our industry. It offers a broad pool of applicants and does a good job breaking down what we’re looking for as a business, which makes the hiring process feel more focused and aligned with our needs. Excellent for employment.
What do you dislike about the product?
The full 'Air' package can be very expensive and costs a lot of money. Unfortunately, as a small business, it can be a struggle for me to afford.
What problems is the product solving and how is that benefiting you?
Day to day, it provides a solid range of support as an artificial intelligence tool, helping us find great candidates who fit the roles we need in our workforce. It’s quick to use as well, which always helps.
Arnel A.
Efficient AI Monitoring with Room for Improvement
Reviewed on Aug 27, 2026
Review provided by G2
What do you like best about the product?
I like Braintrust for its easy-to-use evaluation and monitoring tools, which make it simple to test AI outputs, track performance, and identify areas for improvement. Braintrust helps us save time on testing and improve the accuracy, reliability, and quality of our AI applications. The evaluation and monitoring features help us quickly identify issues and track performance over time, enhancing our workflow efficiency. The initial setup was relatively easy and straightforward, and the documentation was helpful, allowing us to integrate it into our workflow with minimal difficulty.
What do you dislike about the product?
Braintrust could be improved with a simpler interface, more flexible customization options, and easier integrations with other tools. More detailed documentation and reporting features would also be helpful. A simpler interface would make it easier for the team to navigate and set up evaluations, while more flexible customization would let us tailor dashboards and testing to our specific needs. Better integrations would also reduce manual work and make our workflow more efficient.
What problems is the product solving and how is that benefiting you?
I use Braintrust for testing AI applications. It helps us track performance, identify issues, and improve quality. It saves time on testing and enhances accuracy, reliability, and the overall quality of our AI systems.