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
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Deployed on AWS
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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
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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
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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.
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Customer reviews
Sandeep P.
Structured AI Evaluations Made Intuitive
Reviewed on Aug 25, 2026
Review provided by G2
What do you like best about the product?
I like that Braintrust makes evaluating applications much more systematic. Instead of manually checking a few responses and guessing whether a model has improved, I can compare results and see if the model is performing well or needs more work. The evaluation tools are probably the most important in our workflow because they allow us to test AI tools against specific criteria, rather than relying only on manual reviews. This helps us understand if model changes actually improve overall quality. I also find experiments useful for testing different prompts, models, or changes in the AI workflow. They let us compare results and see which performs better. The initial setup was not particularly difficult, and the documentation helped us understand the main concepts and configuration options.
What do you dislike about the product?
Things about Braintrust that don't work well for me and could be improved include the learning curve when using it for the first time, as there are quite a few concepts and features to understand, which can take time. I also find some parts of the interface could be a little more straightforward. When dealing with a large number of evaluations and experiments, it can sometimes take time to find exactly what I'm looking for. I think a simpler way of organizing and filtering would make the experience even better.
What problems is the product solving and how is that benefiting you?
I use Braintrust to solve the difficulty of reliability testing AI applications as they evolve. It makes evaluating applications systematic, not manual, by testing AI against specific criteria, improving assessment of AI outputs.
Afreen K.
Top-Tier Vetted Talent That Delivers for Technical Projects
Reviewed on Aug 24, 2026
Review provided by G2
What do you like best about the product?
What stands out most about Braintrust is how high the quality of talent is on the platform compared to traditional freelance marketplaces. The vetting process is thorough, so we don't have to wade through hundreds of low-quality applications. On top of that, the zero-commission model for talent means candidates are far more engaged and fairly compensated, which directly reflects in the effort and quality they bring to our technical projects.
What do you dislike about the product?
The candidate pool can feel slightly smaller for highly niche or non-technical roles compared to massive platforms like Upwork. Also, setting up the initial onboarding and matching preferences takes a bit of time, and the UI for tracking invoices can feel slightly clunky at times, though it gets the job done once you're used to it.
What problems is the product solving and how is that benefiting you?
Braintrust solves the lengthiness and cost overhead of hiring top-tier tech talent for short-to-medium term projects. It eliminates expensive agency markup fees and reduces our time-to-hire from several weeks down to just a few days. By giving us direct access to pre-vetted senior developers and designers, we can scale our engineering team flexibly without compromising on quality or blowing our budget.
Jeet S.
Braintrust Makes LLM Evaluation and Debugging Effortless With Clean Traces and Integrations
Reviewed on Aug 24, 2026
Review provided by G2
What do you like best about the product?
What I like about braintrust the most is that it saves me from being embrasse in front of my demo of the feature i have been preparing in front of my stakeholders. When I am developing my feature using LLM workflos it helps me evaluate and debug instead of checking output manually everytime i change my prompt.The UI/UX is clean ,especially when looking over traces and comparing experiment results. Integrations are stronger point which i should definelty mention because other tools I reviewed before braintrust , it was hectic for my custom software.The AI / Intelligence side is probably the most valuable for me , as mentioned befor e its a god saver thing , because we cant be trust worthy until its evaluated by braintrust. Performance of braintrust's system is exceptional because its able to trace indvidual calls and identify the bugs.
What do you dislike about the product?
What we disliked was the pricing after the trial. Braintrust was useful for tracing and evaluation, but we didn’t move it into production because we didn’t have enough trust in the brand.
What problems is the product solving and how is that benefiting you?
As I mentioned before, we created a workflow for our product where LLMs and other AI models are used to determine the response and output. A lot of the time it would hallucinate, and when we specifically switched the model while keeping the same prompt, it would still misbehave. Brain Trust helped us trace the entire flow, identify the bugs, and fix them.
Imad Djellab .
Fast and Efficient, But Costly for Security
Reviewed on Aug 22, 2026
Review provided by G2
What do you like best about the product?
I like Braintrust for its amazing speed and gains. It's good on its own and didn't take much time for the initial setup.
What do you dislike about the product?
I find the high cost for tight data security problematic.
What problems is the product solving and how is that benefiting you?
I use Braintrust for running structured testing, solving the heavy work of navigating through a bunch of codes and heavy loads.
Sania Y.
Super simple to use and actually super helpful
Reviewed on Aug 22, 2026
Review provided by G2
What do you like best about the product?
I like Braintrust because it’s really simple to use, and the feedback I get is clear and helpful. It makes things a lot easier for me.
What do you dislike about the product?
I think the feedback could be a little more detailed sometimes. It would be great to get more specific suggestions, but overall, I’m pretty happy with Braintrust.
What problems is the product solving and how is that benefiting you?
Braintrust saves me time when I need feedback. It’s easy to see what’s going well and what I can improve, which makes the whole process much easier.