How much funding has Braintrust raised?

Braintrust has raised $36.0M across 1 funding rounds.

Braintrust Analysis: $36M Raised

What is Braintrust?

Braintrust is an evals and observability platform designed for building reliable AI agents. Their approach integrates testing and monitoring to ensure AI features perform effectively in real-world scenarios. This enables teams to enhance quality and safety in AI applications, driving significant productivity improvements.

Employees

11-50

Founded

2023

Industry

SaaS, AI/ML

Free Plan Availability

Yes

Is Development Tool

Yes

Latest Funding Amount

$36,000,000

Latest Funding Round Size

$36.0M

Selfserve Signup

Yes

Product Features & Capabilities

Evals for testing AI performance with real data
Production monitoring for tracking live model responses
Side-by-side diffs for comparing prompt and model performance
Automated and human scoring for nuanced evaluation
Loop for AI-assisted workflows in prompt optimization.

How much Braintrust raised

Funding Round - $36.0M

Recent

Other Considerations

Trusted by major brands like Airtable and Vercel; Offers hybrid deployment options for data control; SOC 2 Type II certified for security compliance.

Homepage Pricing

The pricing information on Braintrust's homepage indicates that there is a "Sign up for free" option, suggesting the availability of a free tier. However, specific pricing structures or details are not explicitly provided on the homepage. It mentions flexible pricing plans for teams of all sizes, but for more detailed information, users are directed to a separate pricing page.

Gtm Strategy

Braintrust employs a product-led growth (PLG) strategy, as evidenced by their website's design and offerings. The homepage prominently features a "Start for free" call-to-action, indicating a strong emphasis on self-service sign-up, allowing users to access the product without needing to schedule a demo or contact sales. This approach minimizes friction for new users, facilitating immediate engagement with the platform.

The pricing page reveals a transparent model that caters to teams of various sizes, suggesting that small teams can adopt the product independently. There are no indications of enterprise-only pricing, which further supports the PLG model. Additionally, Braintrust offers educational resources, including comprehensive documentation and guides, which empower users to learn and utilize the platform effectively without direct sales intervention.

Customer engagement is enhanced through features like real-time monitoring and alerts, which are crucial for teams focused on AI performance. The presence of educational materials indicates a commitment to self-service learning, characteristic of PLG strategies. Overall, Braintrust's approach reflects a focus on rapid user adoption and virality, optimizing for a broad user base rather than high-touch relationships or large contract values.

Tech Stack

Braintrust employs a diverse technology ecosystem primarily focused on AI evaluation and observability. The analysis of their job postings reveals the following technologies: **Programming Languages:**

Typescript: Dominantly used in roles such as Software Engineer, Product and Solutions Engineer.
Go: Mentioned in the Open Source Engineer role for building SDKs.
Python: Used in both the Cloud Infrastructure Engineer and Solutions Engineer roles.
C++ and Rust: Indicated for systems programming in the Software Engineer, Systems role.
SQL: Required for the Software Engineer, Product position.
React: Used in the Software Engineer, Product role.
NextJS: Also mentioned in the Software Engineer, Product position.
Terraform: Required for building and maintaining infrastructure.
Kubernetes: Mentioned for deploying and managing workloads.
CI/CD Tools: Emphasized in the Cloud Infrastructure Engineer role for improving deployment processes.
Cloud Providers: Primarily AWS, with Azure and GCP support mentioned.