Braintrust ✓

Braintrust positions itself as an AI observability platform designed for building quality AI products. It caters to different AI teams, with its tools relevant to engineering and product sectors.

Braintrust's functionality is based on the principle of real-time observation, evaluation against expectations, and continuous iteration to monitor and rectify AI biases and errors such as drifts and hallucinations.

The platform offers several key features: - Real-time tracing allows the inspection of prompts, responses, and tool calls. - Live performance monitoring measures AI quality, scoring outputs with Language models, code, or human judgement.- Automated alerts catch issues and block problematic releases before they enter production.These main features are aimed at enabling users to acquire a real-time understanding of what occurs in an AI's production.

It allows one to log actions, monitor performance and receive alerts ahead of issues being noticed by users. Braintrust also provides the ability to define evaluation criteria prior to shipping the product, allowing for side-by-side comparisons, automatic regression detection, and scoring with code, LLMs or human input.Running parallel to these, Braintrust equips users with tools to optimise with loop agent AI and customise trace views.

Uniquely, Braintrust offers Brainstore, a database designed for AI data management at scale, which accommodates the complexity of AI traces and facilitates quick query search.

The platform also offers strong security credentials being SOC 2 Type II certified and GDPR compliant amongst other compliances. It supports a broad range of coding languages with SDKs for Python, TypeScript, Go, Ruby, C#, and more.

Braintrust is touted as being framework agnostic, working with any existing stack without necessitating rewrites or creating vendor dependencies.