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Empromptu launches no‑code platform to build production‑ready AI apps using RAG and LLMOps, generating front/back ends and AI logic with 98% accuracy and enterprise integrations

September 11, 2025 //  by Finnovate

A startup called Empromptu Inc. is looking to deliver where all other AI-based application building tools have failed. It’s launching what it says is the first platform of its kind to deliver complete, business-ready AI applications that can be relied upon to work in production and integrate smoothly with existing technology systems. Empromptu says its AI app builder does much better because it’s the first such platform that’s built on a complete AI stack, with LLMOps tooling, retrieval-augmented generation or RAG, automated AI response optimization and other essential features. Empromptu is aimed at regular business employees rather than developers, offering a no-code interface that allows them to describe the application they want to build using natural language. From the user’s description, Empromptu will then set about building a complete, production-ready AI application based on a full stack that includes the front end, back end and AI logic, along with a user interface that integrates with the user’s existing workflow. With built-in automatic AI response optimization, Empromptu says, its generated apps achieve 98% accuracy in response to user’s prompts, thanks in part to its use of RAG, which makes it possible for them to tap into secure corporate data to enhance its responses. Using Empromptu, anyone can build an AI-powered app within just a few minutes. Empromptu says, its platform can be used to create extremely powerful AI applications for almost any use case. Empromptu said the secret to its accuracy is its proprietary optimization technology. With built-in automatic AI response optimization, Empromptu says, its generated apps achieve 98% accuracy in response to user’s prompts, thanks in part to its use of RAG, which makes it possible for them to tap into secure corporate data to enhance its responses.

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Category: AI & Machine Economy, Innovation Topics

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