- AI market research startup Lakmoos raised €300k Pre-Seed round from Presto Ventures.
- The Czech startup builds data models that simulate how target groups make decisions.
- The investment will be used to scale sales with test kits to 5 industries: banking, automotive, telco, energy, and healthcare.
The platform replaces human survey respondents with data models that are as accurate and always reflect the dominant opinion of the selected target groups. These models can instantly answer business-related questions for a fraction of the usual price and time required.
“Instant research is finally possible. In parallel to pharma, we provide an in silico testing tool, which sometimes reveals all you need to know within a split second. You can bounce all your questions and ideas – simulate different scenarios, play around with the characteristics of the target group, and more. For important decisions or big campaigns, you may still want to enrich your knowledge with in vitro user testing or traditional surveys but now you can do the first reality-check on your own.” said Kamila Zahradnickova, CEO & co-founder of Lakmoos.
Making research more dynamic
The models also make research dynamic and continuous, meaning companies can ask anything, anytime and get an accurate answer within seconds.
“Imagine you are a company, you have a great idea for a product or an ad, but you are not sure people will like it. Nowadays, you would contact a research agency and go through a time-consuming, expensive, and stressful process. At Lakmoos, we want to change the status quo and enable you to test your idea immediately on our digital copy of your target population. With the help of AI and data science, Lakmoos can give you precise answers in real time,” Roman Konecny, Chief Sales Officer at Lakmoos, tells IT Logs.
By combining multiple streams of data in their layered model, Lakmoos upcycles the data from archives, CRMs, and analytical tools to build precise copies of target groups. They give each model a name and a face. Anyone in the company can then interact with these models that act like clients and get instant insights – without the need for budgeting, approval rounds, or participant recruitment.
“While AI systems typically utilize monolithic models, our approach is based on a layered model. This allows us to selectively enable or disable different data sources. When a company infuses their private data into the mix, we guarantee this information will neither be shared with third parties, nor used to train models for other companies. Our models integrate data from various sources, and we employ strict measures to ensure that company-specific data doesn’t inadvertently influence other models.” explained Lakmoos’ CTO and co-founder, Jan Polisensky.
Over 75% of research time consumed by administration
Having mapped how research is done in 20 large companies (the smallest being Packeta, and the biggest Microsoft), Lakmoos found out that more than 3/4 of time and energy is spent on administration, not on interacting with the participants or data – this means budgeting, tweaking project scopes, briefing data-collection agencies, or securing approvals within the organization. Using digital respondents solves these issues and eliminates inefficiencies, with investors highlighting the effect that this type of technology will have on the market.
“Lakmoos is exactly the moonshot every VC is looking for. Born in deeptech, bold and audacious. With our investment, Kamila and her team will unlock a massive market opportunity with a hard-to-replicate technology that targets the most valuable enterprise customers.” said Vojta Rocek, partner at Presto Ventures.
Besides providing value to companies, Lakmoos augments established research agencies as well. The whitelabel solutions by Lakmoos can be used to upcycle or re-use agency data – often worth millions of euros – for a fraction of the original cost. In turn will enable research agencies to cover more market areas and approach new client segments with novel analyses, transforming consumer insights.
