Dozer is an open-source platform that enables real-time data integration and transformation by connecting multiple data sources with minimal configuration. It provides low-latency Data APIs, streamlining the development of data-driven applications and reducing the time and complexity involved in building data apps.
Funding
Funding not disclosed
Founders
Product
Problem
Managing and optimizing the usage of Large Language Models (LLMs) across different providers can be complex and costly. Organizations struggle to track expenses, optimize model selection, and seamlessly integrate LLMs into their existing applications.
Solution
LangDB provides a unified API and platform for managing and optimizing LLM usage across multiple providers. It enables cost control through real-time analytics, smart routing, and prompt caching. The platform offers OpenAI-compatible APIs for easy integration, allowing developers to switch between models without rewriting code. LangDB also provides advanced tracing and observability tools for debugging and optimizing AI agent workflows.
Target Audience
LangDB's primary customers are organizations and developers who are building applications that leverage LLMs and need a platform to manage costs, optimize performance, and simplify integration.
Features
- Unified API for connecting to multiple LLMs, including OpenAI, Hugging Face, and open-source models
- Smart model routing to optimize performance and costs, with potential savings of up to 40%
- Comprehensive cost management with real-time analytics and customizable restrictions
- Advanced tracing and observability for debugging and optimizing AI agent workflows
- Intelligent prompt and response caching to speed up responses and minimize costs
- OpenAI-compatible APIs for seamless integration with existing code
- Automatic data collection for all LLM interactions to facilitate model optimization