Czech startup Lakmoos secures €300k in a pre-seed round from Presto Ventures

Brno-based AI market research startup Lakmoos has secured €300,000 in a pre-seed round from Presto Ventures. The investment will be used to scale sales with test kits to 5 industries: banking, automotive, telco, energy, and healthcare. 

  • Founded by Kamila Zahradnickova and Jan Polisensky, and Roman Konecny, Lakmoos builds data models that simulate how target groups make decisions. The platform replaces human survey respondents with data models that reflect the dominant opinion of the selected target groups. These models can instantly answer business-related questions.
  • 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. The company claims it enables to get instant insights, without the need for budgeting, approval rounds, or participant recruitment.

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 and co-founder at Lakmoos, said.
  • The fresh investment was led by a Czech-based VC firm Presto Ventures, which recently invested in Czech-Ukrainian startup Choice. Sedlakova Legal, a local company focusing on IT, cybersecurity, personal data protection, medical law, intellectual property, and other law areas, and Alexander Braun also participated in the round as legal advisors.

Lakmoos will spend the funding to scale sales with test kits to: banking, automotive, telco, energy, and healthcare. In addition, by 2030, the startup wants to transform 20% of traditional market exploration, saving $30 billion in exploration costs and 35 billion hours of fieldwork globally.