Klu is a generative AI application platform that enables teams to collaboratively design, evaluate, and optimize LLM-powered applications using state-of-the-art models like GPT-4 and Llama 2. It addresses the challenges of rapid iteration and fine-tuning by providing tools for prompt engineering, performance tracking, and secure data management, allowing businesses to enhance their AI capabilities efficiently.
Funding
$1.7M 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.
FCFounders
Product
Problem
Developing and optimizing applications powered by Large Language Models (LLMs) requires rapid iteration, experimentation, and fine-tuning, which can be challenging for teams. Tracking performance, managing data securely, and collaborating effectively on prompts and models adds further complexity to the development lifecycle.
Solution
Klu is an LLM application platform designed to streamline the development, evaluation, and optimization of AI-powered applications. The platform enables teams to collaboratively design prompts, track performance metrics, and manage data securely. Klu supports state-of-the-art models, including GPT-4, Llama 2, and Mistral, allowing businesses to build and fine-tune custom AI solutions. By providing tools for prompt engineering, performance monitoring, and secure data handling, Klu aims to accelerate AI development and improve the efficiency of AI teams.
Target Audience
Klu primarily targets AI engineers and teams who are building, evaluating, and optimizing generative AI features for their products.
Features
- Collaborative prompt engineering environment for exploring, saving, and versioning prompts
- Automated evaluation of prompt and model changes to track performance improvements
- Support for various LLMs, including GPT-4, Llama 2, and Mistral, on platforms like Cloudflare and Replicate
- Rapid iteration capabilities with insights into usage and system performance across features and teams
- Data curation tools for fine-tuning custom models
- Enterprise container option for building custom AI systems within a private cloud environment
- Role-based access control and SOC2 compliance for workspace security
- Free GPT-4 Turbo runs for prototyping and evaluations