
Autovisual
Big data enabled vehicle sourcing and valuation.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
N/A | €1.5m | Seed | |
Total Funding | 000k |
EUR | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
---|---|---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 388 % | (1 %) | 15 % | 73 % | 9 % | - |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% EBITDA margin | 15 % | - | (16 %) | 23 % | (15 %) | - | - |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% profit margin | 51 % | 16 % | (30 %) | 1 % | (40 %) | - | - |
EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
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AutoVisual provides a data-driven platform for analyzing the European used car market. The company's algorithm evaluates used car values by processing data from a vast collection of classified ads, which exceeds 310 million listings across more than 26 countries. It considers various factors that influence a vehicle's price, such as age and options, to generate valuations based on current market realities.
The service is designed for a professional client base, including Original Equipment Manufacturers (OEMs) and car dealers. These clients utilize the platform to monitor sales, prices, and turnover, allowing them to compare their commercial performance against the competition. The platform offers features to refine analysis through various filters and track sales statistics to measure the market vitality of specific makes, models, or fuel types. For dealers, the tool provides insights into their remarketing activities, inventory, ad age, and price adjustments to help identify operational strengths and weaknesses. Another module allows for the monitoring of price evolutions of specific models over time, aimed at optimizing residual values in the European market.
Keywords: used car valuation, European automotive market, vehicle price analysis, automotive data, car market trends, dealer performance, residual value optimization, remarketing intelligence, automotive business intelligence, price monitoring, sales statistics, OEM solutions, car dealer tools, inventory analysis, market comparison