Company Fundraising News: January 2022

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Rundit helps startups that are raising funding to get introduced to 7000+ VCs within the Rundit network, globally! It’s a great way to gain visibility – previous success stories include companies from the Rundit network being contacted by new investors.

We’d like to introduce some of the users of Rundit currently raising funding:


1. Poplar.Studio – Series-A – $8 M – $10 M – UK

Poplar.Studio is the leading AR and 3D platform for marketing and e-commerce. Our project management tools and talent cloud make it easy for brands and retailers to create and deploy AR and 3D experiences across all channels. We take any brand asset or product, build them quickly into 3D and AR, and deploy them into social, e-commerce and Metaverse platforms. Poplar.Studio has worked with hundreds of top international brands across sectors: L’Oréal group, Nestlé, Disney, PepsiCo, Speedo, Universal, J&J,, among many others.

Contact: David Ripert | | LinkedIn


2. Bob W. – Series-A – €15 M+ in Equity & €5 M+ in Debt – Finland & Estonia

Bob W is a sustainability-focused tech company building a smarter alternative to hotels and short-stay rentals. Driven by our hospitality tech engine, we outperform traditional operators in occupancy (+1.9x), RevPAR (+2.5x), operating costs (-40%) and guest satisfaction (NPS 93 vs. 37 industry average). We currently operate in Estonia, Finland, Spain and the UK with contracted annual revenues of EUR 21M across Europe and are backed by Europe’s top investors including byFounders, 2150, TESI, and Superangel.

Contact: Niko Karstikko | | LinkedIn


3. FLOW – Seed – $2 M – Iceland

Flow – Meditation for modern life – a cutting-edge platform providing access to the proven and profound benefits of meditation through Flow Meditation apps, web portal, virtual reality experiences, corporate wellness programs and live workshops.

Contact: Tristan Elizabeth Gribbin | | LinkedIn


4. Sentimenti – Seed – €1,2 M – Poland

We have developed a ground-breaking technology that employs emotions (not sentiment only) contained in social media to predict short-term prices of financial instruments. Thanks to automated NLP and ML, we aim to harness the power of alternative data for better investment returns across different asset classes. Our technology relies on two data sources, first unstructured data from social media and second structured data from trading platforms/exchanges. It’s automated and capable of analyzing and drawing conclusions from big data. Pitch Deck

Contact: Damian Grimling | | LinkedIn


5. Sagoma – Pre-Seed – €200 k – Russia

Metal frames dwellings solve the problem of achievability of detached house to everybody anywhere in the world. Just choose the best you want from the range. Change your house as the car. Choose by options, shape and area. Basement is needless. Sell a used house if you need larger and install a new one in 3 days.

Contact: Constantin Soro | | LinkedIn

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