Orbiseed
Orbiseed is an Insurance and Construction AI startup, headquartered in Toronto, Canada. The Orbiseed AI platform uses Natural Language Processing (NLP) and Machine Learning (ML) to extract, process, and summarize commercial property data for insurance brokers and carriers and construction blueprints for construction firms, reducing operating costs and improving risk management.
Orbiseed is a proud member of the Techstars Toronto 2020 cohort, and the Google for Startups Accelerator 2021 cohort, and was named among the Top 25 global companies by the Founders' Institute.
My Role
As Vice President of Product & Customer Experience, I brought Orbiseed’s ideal customer into our organization and made sure that our customer was considered at every stage of product development. I created and led product management, product design, and customer success disciplines as well as owning the full product lifecycle with 7 direct reports and supervising a team of 15. Additionally, I created the vision and direction of Orbsieed’s product and worked cross-functionally with engineering, data science, product design, sales, marketing, and executive leadership to ensure they all understood our direction and were actively working towards achieving our business goals.
As the main voice of our product and customer, I was actively involved in fundraising efforts with our CEO. I participated in over 80 investor calls from around the globe leading to a US $4 million investment and a US $1.5 million dollar strategic investment from a core customer.
Product
At its core, the Orbiseed product is an intelligent document-processing platform that leverages AI and NLP to read and understand unstructured data in documents in both the Insurance and Construction verticals. The product serves to augment and enhance the capabilities of knowledge workers in both industries and is built on the notion that, “people will not be replaced by AI, they will be replaced by people using AI.” For more information on each respective vertical, please see the links below.
Key Learnings
Organizations that are looking at AI as a solution need to understand that AI can do only three things: increase revenue, decrease costs, or improve efficiency. If it doesn’t do one of these three things, then it’s just tech for the sake of tech. I think the big transition that needs to happen is things like AI and deep tech in general need to stop being the why and the what and just become the how. Customers don’t really care if something uses AI or not. They care if the tool solves their pain.
The art of conducting customer discovery calls without talking about my company. Just being fully present and listening to people and their challenges and their pains. It’s a great way to build trust.