Provides a developer platform for integrating essential features into generative AI applications, requiring only two lines of code to implement. It offers tools for access control, usage monitoring, retries, caching, and failovers, enabling secure, reliable, and observable LLM deployments for enterprises and startups.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing and deploying generative AI applications requires significant overhead for implementing essential features like access control, usage monitoring, retries, and caching. Manually building these features is time-consuming, complex, and distracts developers from focusing on core application logic. This complexity hinders the rapid innovation and deployment of reliable and secure LLM-powered applications.
Solution
BricksAI offers a developer platform that simplifies the integration of essential features into generative AI applications. By requiring only a few lines of code, BricksAI enables developers to easily add access control, usage monitoring, retries, caching, and failovers to their projects. The platform provides API keys with rate limits, spend limits, and expiry dates, allowing for secure and controlled access to LLMs. BricksAI also offers detailed metrics and analytics on LLM usage, enabling developers to optimize their systems and receive alerts for exceeding custom thresholds.
Target Audience
BricksAI targets enterprises and startups building generative AI applications, specifically developers and product teams seeking to streamline the integration of essential features and ensure secure, reliable, and observable LLM deployments.
Features
- API key management with rate limits, spend limits, and expiry dates
- Fine-grained metrics to track LLM usage per API key, model, or user
- Real-time monitoring and alerting for usage and spending thresholds
- Automated retries, failovers, and caching for robust LLM application performance
- Single Sign-On (SSO) integration with major identity providers like Okta, Google, and Azure
- Role-based access control to ensure authorized user access to API keys
- Audit logging for tracking all API key activities