NeuralTrust provides a comprehensive ecosystem designed for the security and control of Large Language Models (LLMs). The platform focuses on safeguarding AI models against emerging threats through real-time detection, custom policy enforcement, quota limits, and automated data sanitization. It offers solutions for identifying vulnerabilities via automated red teaming and ensures applications meet high security standards and regulatory requirements.

Additionally, NeuralTrust delivers real-time observability into AI behavior with advanced monitoring, alerting, and analytics capabilities. This allows for full traceability, debugging of user interactions, and ensures adherence to global AI regulations like the EU AI Act and GDPR. The platform is built for enterprise scale, performance, and vendor independence, enabling seamless integration across various clouds, LLM providers, and infrastructures.

Braintrust offers a comprehensive suite for constructing high-quality AI applications powered by Large Language Models (LLMs). It facilitates an adapted development lifecycle suitable for the AI era, enabling iterative workflows for evaluating prompts and models against unpredictable natural language inputs. The platform allows teams to compare different models and prompts, track performance regressions, and understand the impact of changes effectively.

Users can visualize and analyze LLM execution traces in real-time for debugging and optimization purposes. It also supports monitoring real-world AI interactions to ensure optimal performance in production environments. With features designed for both technical and non-technical users, Braintrust integrates seamlessly with code and offers options for self-hosting to meet specific data control and compliance needs.