Plumb

Plumb operates as an AI automation platform engineered to simplify the creation and execution of workflows for users without a technical background. The company, legally known as Murmur Labs, Inc., was co-founded by Aaron Dignan and Chase Adams. It has secured $11 million in funding from investors including Scott Belsky, Eric Ries, Mariano Battan, and Brian Sugar to support its vision.

The platform's core offering is a no-code, node-based visual builder that allows users to construct complex AI pipelines by describing their goals in plain language. Plumb is designed to automate and streamline operations by handling tasks such as recording, transcribing, and summarizing meetings, with outputs directed to applications like Notion, Google Docs, or email. The service accepts multimodal inputs, including text, audio, images, and video, and integrates with essential apps like Gmail. It supports a variety of AI models, such as those from OpenAI, Anthropic, and AssemblyAI, and allows users to switch between them as needed.

Plumb's business model is centered on empowering technical creators, AI experts, and consultants to productize and monetize their agentic workflows. Creators can build an automation once, share it with subscribers, and manage updates from a central location. The company offers a tiered pricing structure, including a free entry plan, a "Plus" plan at $9 per month, and a "Pro" plan for teams at $199 per month, with each tier providing a specific allowance of credits. A key feature is the ability for creators to set a price and get paid each time their published workflow is run by a subscriber. The platform is primarily web-based and also provides API endpoints for integration. Plumb targets a diverse client base, including startup founders, content creators, project managers, data scientists, and no-code developers using platforms like Bubble.io.

The company emphasizes data security and privacy, ensuring it is CCPA compliant. Plumb employs encryption for data both in transit and at rest and explicitly states that user data is not used for training AI models. While not yet SOC2 compliant, the company is working towards achieving this certification by 2026.

Keywords: AI automation, no-code platform, workflow builder, agentic workflows, monetize AI, AI pipeline creator, multimodal AI, structured JSON output, AI integration, Bubble.io integration, OpenAI, Anthropic, AssemblyAI, workflow monetization, technical creators, AI consultants, data transformation, API endpoints, automated meeting summaries, content generation automation