Proptech Startup

Stan the condo man

A proptech startup automating condo board communication with AI needed to test its product and validate market interest with minimal investment. Ollon built a functional prototype connecting a conversational AI framework to condo booking systems and texting, letting the company test use cases and gather feedback cheaply. The company refined its product and secured funding from a startup accelerator.

Situation

A proptech startup focused on streamlining condo board operations sought to integrate AI technology to automate resident communication and service support. They needed a way to quickly test their product concept and validate market interest with minimal upfront investment. Initially targeting condo boards, the company recognized the potential to expand their offering to property managers, requiring a flexible, scalable solution.

Solution

Ollon built a functional prototype using conversational AI framework integrated with multiple web-based condo booking systems and a text messaging platform. This approach enabled the company to test various use-case scenarios, gather feedback, and iterate quickly at a low cost. The prototype provided the necessary functionality for the company to evaluate market demand across both condo boards and property managers, while also assessing the technical feasibility of their solution.

Results

The functional prototype allowed the company to gain valuable business and technical insights while keeping initial development costs low. With positive feedback from condo boards and increased interest from property managers, the company refined their product to appeal to a broader market. Ollon's approach enabled the company to make data-driven decisions, positioning them for future growth and helped secure funding from a startup accelerator program.

Technologies

NodeJS, AWS, Dialogflow

Our Expertise in Action

AI Integration

A proptech startup wanted to automate resident communication for condo boards without building a fully custom AI system from the ground up before knowing whether anyone would use it. Ollon integrated a conversational AI framework, Dialogflow, directly with the company's existing web based condo booking systems and a text messaging platform, so residents could interact with the system through channels they already used. That integration let natural language requests flow directly into the booking and messaging tools already in place. The result was a working AI layer built directly on top of existing infrastructure the company and its condo board customers already relied on.

Rapid prototyping

Before committing to a full build, a proptech startup needed to know whether condo boards and property managers would actually use an AI driven communication tool at all. Ollon built a functional prototype quickly and at low cost, connecting conversational AI to booking systems and text messaging so the company could test real use cases with real users right away. That prototype let the company run scenarios across two different customer types, condo boards and property managers, and see what actually held up before investing further. Speed and low cost were the point, so the prototype could generate real feedback fast.

MVP development and product-market fit

A proptech startup had an idea for AI driven condo communication but no way to know if it would work in the market without spending heavily to find out. Ollon built a low cost functional prototype that let the company test the concept directly with condo boards first, then expand testing to property managers once initial feedback was positive. That prototype surfaced real signal, positive reception from condo boards and rising interest from property managers, that the company used to refine its product to fit a broader market than it originally targeted. The validation from that process helped the company secure funding from a startup accelerator program, turning an unproven idea into one with evidence behind it.