Cominal Inc.: "Koino" — The AI Networking Platform That Uncovers Real Needs Without Requiring Surveys
My name is Emi Maeda from Cominal Inc. Today, I would like to introduce our data platform, "Koino," designed to maximize the outcomes of events.
The "Unanswered Survey Problem" Plaguing Event Organizers
I have built my career as a marketer for over 10 years, planning and running numerous events. For event organizers, survey data collected from participants is an extremely vital asset essential for value validation and future improvements. However, in reality, surveys are rarely answered.
This is because participants are busy, and filling out surveys with many input fields imposes a heavy mental burden. There is also a limit to sending reminders, and eventually, only the same enthusiastic participants respond, leading to biased data. Thus, quantitatively measuring the "genuine needs and satisfaction" of participants has been a long-standing and extremely difficult challenge in the event industry.
How "Koino" Gathers Genuine Data with Zero Survey Input
"Koino" solves this issue by serving as a data platform that uncovers real needs. In events that implement Koino, participants do not need to fill out pre-registration forms or post-event surveys at all. Despite this, organizers automatically receive the participants' basic profiles and a complete analysis of everyone's genuine needs.
The secret lies in the "AI Networking Support" provided to all participants. Instead of asking them to "please fill out a survey," we replace it with a networking service that says, "If you input your current situation and what kind of people you want to meet (via voice input), we will introduce you to the best matches in the venue."
Participants simply speak their situation and goals into a microphone on the app, and they are introduced to the most suitable people to talk to at the event. Behind the scenes, the AI anonymizes and processes this private data to present real-time analysis of the event's overall needs and trends on the organizer's dashboard.
A Track Record of 100% Satisfaction and 95% Workload Reduction
In our pilot tests, the satisfaction rate of marketers who introduced Koino recorded 100%. Furthermore, the administrative workload for collecting surveys and facilitating matching was reduced by a staggering 95%.
Our business model is B2B subscription/payment charged to event organizers. Once you sign up online, a QR code is generated, which can be distributed to participants. The basic pricing is under 10,000 JPY per event for scales of 100 to 200 people, and a pay-as-you-go model is applied for larger sizes based on the number of participants. Moving forward, we aim to expand our footprint from single private events to corporate internal events and large conference venues. We are currently recruiting pilot test partners, so please feel free to reach out to us.
Q&A and Feedback
Commentator (Mr. Ito): Thank you for the presentation. Due to a connection issue during the speech, the explanation of the business model and pricing might have been a bit rushed. Could you elaborate on the service value and pricing structure once more?
Emi Maeda: I sincerely apologize for the technical difficulties. Let me supplement the service model and pricing details. Basically, it costs under 10,000 JPY per event for 100 to 200 participants. This plan includes check-in functionality, voice-based matching, and the comprehensive needs analysis dashboard for organizers. For larger events, we employ a volume-based pricing tier where the cost scales up with the number of participants.
Commentator (Mr. Ito): Thank you. Listening to your pitch, I felt that Koino's marketing advantages and differentiators were still slightly difficult to grasp. The fact that surveys don't get answered and that honest feedback remains hidden is indeed a severe challenge for the companies we support as well. That is why I would like to know if there are specific product mechanisms or designs in Koino that help drive higher response rates and gather more accurate, honest data.
Emi Maeda: Thank you for the question. We are actively running PDCA cycles on that very point through proof-of-concept tests using our prototype. Currently, we measure overall satisfaction and interest trends by analyzing behavioral data—such as which themes participants match on and start conversing about—alongside textual analysis of their inputs. Furthermore, we are developing and testing a UI/UX that allows users to easily send feedback like "likes" after matching, aiming to capture quantitative satisfaction metrics more easily.
Commentator (Mr. Ito): I see. So you are reverse-engineering quantitative satisfaction from matching outcomes and interactions like "likes." If that core spine of the product becomes more refined, it will become an incredibly powerful, must-have product for event marketers. I look forward to it.
Emi Maeda: Thank you. We will continue to incorporate feedback from the field to strengthen the product's core and push forward toward full-scale market adoption.