DeepScout, a Prague-based AI startup, has secured €600k in funding to enhance e-commerce pricing and assortment strategies with its automated market intelligence platform.
The round was led by startup studio Miton, which invested €200K upfront with an option for an additional €400K.
Jan Mittner, who previously founded and sold Jízdomat (acquired by BlaBlaCar) and Proudly (acquired by Welcome to the Jungle), sees DeepScout as a game-changer for online retail. “We can regularly monitor and analyse the product offerings of many players on the market and recommend specific actions in terms of product range and pricing to our clients,” he said.
Founded in 2023 by serial entrepreneur Jan Mittner, DeepScout enables e-shops to access real-time market and competitor data reportedly at a fraction of the current cost. The AI-powered platform automates product matching, price monitoring, and strategic recommendations, making it easier for online retailers to optimise their offerings.
One of DeepScout’s standout features is its ability to pair products from different sources without needing a standard identifier like an EAN code. The platform uses AI/ML technology to extract, clean, and match data, even leveraging images to determine product similarities at scale.
“The tool uses state-of-the-art AI/ML technology to the maximum extent possible. This allows it to extract data in a structured form, check its quality, pair products, learn from feedback, and so on fully automatedly. For example, when matching products, it uses all available data, including images from galleries, and decides whether they are the same product or not. Similar to a human. It just does it on a scale of millions of products,” explained Mittner.
Miton, known for backing successful startups like Glami and crowdfunding platform Donio, is playing an active role in DeepScout’s growth.
Tomáš Hodboď, a Miton partner and former Glami Founder, is leading product development.
“Unique and clean datasets will be a key element in the new era of the Internet, which will be shaped by language models. We now see great opportunities in data specialisation, quality and accuracy. When Jan Mittner came to us a year ago, we started working on validating the solution. Building ‘SimilarWeb for e-commerce’ is the first step,” says Tomáš Hodboď. “But we don’t want to stop there. The ability to offer actionable insights over big data is a topic that is also relevant in other areas, such as real estate pricing, leads for sales, and data for investors. Even these can be handled in a fully automated way today.”
Though still in the early stages, DeepScout already has paying customers in Czechia and has begun serving international clients. The startup aims to refine its product domestically before expanding further.
“Over the next few months, we will fine-tune the product based on feedback from the Czech market and then head abroad. We have already gone there. We are already providing data from foreign markets for several clients, and it’s just as easy as it is in Czechia. So our ambitions are decidedly global,” concluded Mittner.