--- title: About Us description: Meet the team behind Rabble AI and learn how we're helping organizations transform legacy data into AI-ready context that delivers real business results. --- [Skip to content](https://rabble.ai/about-us#main-content) [![RABBLE 305-PNG NO BACKGROUND-WHITE FONT (2)](https://rabble.ai/hs-fs/hubfs/RABBLE%20305-PNG%20NO%20BACKGROUND-WHITE%20FONT%20(2).png?width=2026&height=1768&name=RABBLE%20305-PNG%20NO%20BACKGROUND-WHITE%20FONT%20(2).png)Homepage](https://rabble.ai?hsLang=en) - [Home](https://rabble.ai?hsLang=en) - Products - [Structured Data](https://rabble.ai?hsLang=en#Product-Structured-Data) - [Unstructured Data](https://rabble.ai/unstructured-data?hsLang=en) - [Support Ticket Data](https://rabble.ai/support-ticket-data-readiness?hsLang=en) - [Pricing](https://rabble.ai/pricing?hsLang=en) [Log In](https://app.rabble.ai) - [Home](https://rabble.ai?hsLang=en) - Products - [Structured Data](https://rabble.ai?hsLang=en#Product-Structured-Data) - [Unstructured Data](https://rabble.ai/unstructured-data?hsLang=en) - [Support Ticket Data](https://rabble.ai/support-ticket-data-readiness?hsLang=en) - [Pricing](https://rabble.ai/pricing?hsLang=en) [Log In](https://app.rabble.ai) # Who is Rabble? ### Every company has a story. Ours starts with context: We kept watching the same thing happen. A team spins up an ambitious AI project. The demo works. Then it meets the real data, thirty years of it, scattered across systems that were never built to talk to each other, let alone talk to an agent. The project stalls. Everyone blames the model. It was never the model. It was the data underneath it. We learned this the hard way. Rabble started out helping SaaS companies understand customer behavior,  ingesting product and operational data, running ML models to surface hidden signals like churn risk and upsell opportunities. It worked. Until it met real enterprise data, and we spent more time cleaning and contextualizing that data than we did on anything else. When we started adding GenAI capabilities, the problem got louder: if data wasn't ready for traditional ML, it had no shot with autonomous AI agents. So we stopped fighting the symptom and went after the cause. Rabble exists to fix the layer nobody wants to touch, the messy, legacy, business-critical data that AI has to understand before it can do anything useful. We've spent our careers in that layer. Hence, Rabble was born. Again. --- ### Meet the people behind Rabble: ![Josh\_Animated](https://rabble.ai/hs-fs/hubfs/Josh_Animated.png?width=1254&height=1254&name=Josh_Animated.png) ### Josh #### *Chief Explorer* Turning impossible ideas into products. ![Lisa\_Animated](https://rabble.ai/hs-fs/hubfs/Lisa_Animated.png?width=1254&height=1254&name=Lisa_Animated.png) ### Lisa #### *Keeper of Order* Making sure the lights stay on. ![Matt\_Animated](https://rabble.ai/hs-fs/hubfs/Matt_Animated.png?width=1254&height=1254&name=Matt_Animated.png) ### Matt #### *Chief Builder* Teaching computers to behave. ![Ross\_Animated](https://rabble.ai/hs-fs/hubfs/Ross_Animated.png?width=1254&height=1254&name=Ross_Animated.png) ### Ross #### *The Storyteller* Explaining complicated things simply. ![Esther\_Animated](https://rabble.ai/hs-fs/hubfs/Esther_Animated.png?width=1254&height=1254&name=Esther_Animated.png) ### Esther #### *Code Whisperer* Building the things customers actually use. ![Konrad\_Animated](https://rabble.ai/hs-fs/hubfs/Konrad_Animated.png?width=1254&height=1254&name=Konrad_Animated.png) ### Konrad #### *Context Detective* Helping AI understand what your data means. --- ### Why customers like working with us: We start with your business, not the technology We don't begin by asking which AI model you want to use. We begin by understanding the decisions you're trying to improve and the outcomes you're trying to achieve. We keep things practical No unnecessary complexity. No buzzword bingo. We focus on solving real business problems with solutions your team can actually implement. We respect your data Your enterprise data represents years of operational knowledge. We treat it with the same care and security you do. We earn trust through results We don't expect customers to trust us because we have a polished website or impressive presentations. We earn that trust by consistently delivering what we say we will. We collaborate, we don't dictate The people closest to your business know it best. We bring AI expertise. You bring domain expertise. The best solutions come from combining both. We move quickly, but thoughtfully We believe momentum matters. We'll help you make meaningful progress without cutting corners that create bigger problems later. We have fun We bring energy, curiosity, and a sense of humor to every project because great partnerships are built on more than deliverables, they're built on enjoying the work together.  ## Come build better AI with us [Talk To Us](https://meetings-na2.hubspot.com/ross324/group-demo-) [![Rabble AI](https://rabble.ai/hubfs/RABBLE%20305-PNG%20NO%20BACKGROUND-WHITE%20FONT%20(2).png)](https://rabble.ai?hsLang=en) Is Your Data Ready for AI? [in](https://linkedin.com/company/rabble-ai/) Product - [Structured Data](https://rabble.ai?hsLang=en#Product-Structured-Data) - [Unstructured Data](https://rabble.ai/unstructured-data?hsLang=en) - [Pricing](https://rabble.ai/pricing?hsLang=en) - [Log in](https://app.rabble.ai) Use Cases - [Support Ticket Data](https://rabble.ai/support-ticket-data-readiness?hsLang=en) - [Sales & Marketing Data](https://rabble.ai/marketing-data?hsLang=en) - [ERP Data](https://rabble.ai/legacy-erp?hsLang=en) - [Healthcare](https://rabble.ai/healthcare?hsLang=en) - [Industrial](https://rabble.ai/industrial?hsLang=en) - [Financial](https://rabble.ai/financial?hsLang=en) - [Insurance](https://rabble.ai/insurance?hsLang=en) - [Manufacturing](https://rabble.ai/manufacturing?hsLang=en) - [Legacy Data Migration](https://rabble.ai/legacy-data-migration?hsLang=en) Company - [About Us](https://rabble.ai/about-us) - [Blog](https://rabble.ai/blog?hsLang=en) - [Contact Us](https://rabble.ai/contact-us?hsLang=en) --- © 2026 Rabble AI, Inc. All rights reserved. [Privacy policy](https://rabble.ai/privacy-policy?hsLang=en) [Terms of service](https://rabble.ai/terms-of-service?hsLang=en) ```json { "@context" : "https://schema.org", "@type" : "Organization", "logo" : "https://rabble.ai/wp-content/uploads/2025/01/cropped-rabble-logo.png", "name" : "Rabble AI", "sameAs" : [ "https://www.linkedin.com/company/rabble-ai" ], "url" : "https://rabble.ai/" } ``` ```json { "@context" : "https://schema.org", "@type" : "AboutPage", "description" : "Every company has a story. Ours starts with context: We kept watching the same thing happen.\n\nA team spins up an ambitious AI project. The demo works. Then it meets the real data, thirty years of it, scattered across systems that were never built to talk to each other, let alone talk to an agent. The project stalls. Everyone blames the model.\n\nIt was never the model. It was the data underneath it.\n\nWe learned this the hard way. Rabble started out helping SaaS companies understand customer behavior, ingesting product and operational data, running ML models to surface hidden signals like churn risk and upsell opportunities. It worked. Until it met real enterprise data, and we spent more time cleaning and contextualizing that data than we did on anything else. When we started adding GenAI capabilities, the problem got louder: if data wasn't ready for traditional ML, it had no shot with autonomous AI agents.\n\nSo we stopped fighting the symptom and went after the cause.\nRabble exists to fix the layer nobody wants to touch, the messy, legacy, business-critical data that AI has to understand before it can do anything useful. We've spent our careers in that layer.\n\nHence, Rabble was born. Again.", "headline" : "Who is Rabble?", "name" : "Who is Rabble?", "url" : "https://rabble.ai/about" } ``` ```json { "@context" : "https://schema.org", "@type" : "ItemList", "itemListElement" : [ { "@type" : "Thing", "description" : "We don't begin by asking which AI model you want to use. We begin by understanding the decisions you're trying to improve and the outcomes you're trying to achieve.", "name" : "We start with your business, not the technology" }, { "@type" : "Thing", "description" : "No unnecessary complexity. No buzzword bingo. We focus on solving real business problems with solutions your team can actually implement.", "name" : "We keep things practical" }, { "@type" : "Thing", "description" : "Your enterprise data represents years of operational knowledge. We treat it with the same care and security you do.", "name" : "We respect your data" }, { "@type" : "Thing", "description" : "We don't expect customers to trust us because we have a polished website or impressive presentations. We earn that trust by consistently delivering what we say we will.", "name" : "We earn trust through results" }, { "@type" : "Thing", "description" : "The people closest to your business know it best. We bring AI expertise. You bring domain expertise. The best solutions come from combining both.", "name" : "We collaborate, we don't dictate" }, { "@type" : "Thing", "description" : "We believe momentum matters. We'll help you make meaningful progress without cutting corners that create bigger problems later.", "name" : "We move quickly, but thoughtfully" }, { "@type" : "Thing", "description" : "We bring energy, curiosity, and a sense of humor to every project because great partnerships are built on more than deliverables, they're built on enjoying the work together.", "name" : "We have fun" } ], "name" : "Why customers like working with us" } ```