


- Location
- Chilliwack, British Columbia, Canada
- Bio
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I'm Jason Frost, founder and CEO of Cadabble Inc., an innovation-focused small business driven by a passion for service, creativity, and transformation. My entrepreneurial journey began with the launch of a high-end concierge detailing service tailored to the yachting and private aviation industries—preparing luxury vessels and jets for departure with precision and care.
Today, my focus has shifted to the development of Cadabble, a cutting-edge AI-powered web app designed to streamline service discovery and booking. Leveraging advanced technologies such as Large Language Models (LLMs) and real-time AI integration, our goal is to simplify and elevate how customers find, book, and experience services across multiple industries.
I believe strongly in the power of mentorship, collaboration, and continuous growth. That’s why I’ve engaged with Riipen—to gain insights, mentorship, and fresh perspectives as we refine our platform and scale our vision. We welcome feedback and collaboration as essential tools for innovation and long-term success.
Previously, I was proud to lead frontline efforts with Ledcor, a strategic TELUS build partner, helping deliver a robust fibre optic infrastructure across British Columbia. My role included on-site coordination with build teams and ensuring high customer satisfaction through quality-driven project and delivery of business services.
Leadership, personal development, and emotional intelligence are at the core of my philosophy. Through tools like Insights Discovery and daily reflection, I continuously strive to grow as a founder, collaborator, and human being—committed to creating meaningful impact in both business and life.
- Companies
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Chilliwack, British Columbia, Canada
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Chilliwack, British Columbia, Canada
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- Categories
- Marketing strategy Website development Mobile app development Software development Artificial intelligence
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Achievements



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Recent projects

Artificial Intelligence & Machine Learning Application
Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Creating new dataset Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.

Springboard | UI/UX Design Project
Cadabble aims to solve the inefficiency of real-time service access by creating an AI-powered, geolocation-driven "map" search and booking platform. Existing platforms are fragmented, slow, and do not prioritize immediate solutions for users and businesses. Our goal is to streamline service discovery, booking, and secure payment in real-time while optimizing response times for both daily needs and critical emergencies.

Cadabble Web Application Enhancement
Cadabble is a Next.js web application that enables users to search for and book appointments and services. We have completed a proof of concept prototype and are currently seeking to complete development for the initial launch version. Key features that require further development are: searching, scheduling, booking, messaging, profile management, data logging and security features to keep user and site data safe. The primary goal is to complete development of these key features and our secondary goal includes refining the UI aesthetics and implementing a basic admin backend. This project provides an opportunity for learners to apply their knowledge and hone their skills relating to web development, UI/UX design and cybersecurity principles. The project requires for learners to have some experience with Javascript/Typescript, HTML and CSS and is best suited for learners with foundational web development experience who are looking to further develop their skills and gain practical experience working on a production-level application.

Artificial Intelligence & Machine Learning Application
Our company offers a web application and future software and we want to leverage the latest technology to gain market advantage. Applications of this technology include predictive recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.