Composable
Melinda O'Neil is an experienced marketing executive currently serving as the VP of Marketing at Composable, where responsibilities include brand development and demand generation focused on leveraging Large Language Models in business processes. Melinda has also held prominent positions such as Board Member and Head of Marketing at MINIs Take Vermont, Inc. and VP of Marketing (Growth) at LumApps, leading initiatives in international growth marketing. Previous roles include VP of Corporate Marketing at Nuxeo, where Melinda oversaw all field marketing activities, and Co-Founder & Head of Marketing at BeerdBus Brew Tours. Melinda's extensive background includes demand generation and marketing communications across various companies, with a strong emphasis on strategy development, campaign execution, and performance optimization. Melinda holds a Bachelor of Arts degree in Business from the University of New Hampshire-Manchester.
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Composable
Our mission is to revolutionize the way applications interact with content. While Large Language Models (LLMs) like GPT have fundamentally changed our interaction with textual data, we believe in taking a step further. Composable Prompts ensures that every business, regardless of its scale or domain, can leverage the native data processing capabilities of LLMs in the most efficient way possible. We've developed a platform for building AI/LLM apps. Our comprehensive toolkit enables enterprise teams to design, deploy, and operate LLM-powered tasks that augment and automate business processes and applications. Our suite offers a structured, domain-specific approach, shifting from rudimentary, text-based interactions to a world of structured, efficient, and integrated content processing. Our Core Offerings: Interaction Designer: Crafting intuitive prompt templates and robust data schemas. Prompt Library: Using LLMs to enhance prompt design and offer improvement suggestions. API Service: Seamlessly integrating LLMs into your applications and business processes. Executions Store: Ensuring optimal performance by intelligently storing and reusing Interaction Results. Collaboration & Optimization Tools: From sharing prompt segments to monitoring performance, we have developers covered.