Compredict
Software-based virtual sensors turning vehicle data into insights.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor investor investor investor | €0.0 | round |
| investor | €0.0 | round | |
| investor investor | €0.0 | round | |
* | $15.0m | Series B | |
| Total Funding | 000k | ||
| USD | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
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COMPREDICT is a German company that has developed a technology of virtual sensors that are purely software-based. These sensors use the existing data in a vehicle to generate insights about the condition of different parts of the car, without the need for additional hardware. The company's platform simplifies the calibration and deployment of these virtual sensors.
The primary clients of COMPREDICT are automotive manufacturers. The company's technology allows these manufacturers to gain a deeper understanding of the usage and wear of vehicle components, which can help in predicting potential failures and improving the overall quality of their products. The business model is centered around providing these software-based sensors as a replacement or complement to physical sensors, which can lead to cost savings and the addition of advanced features in vehicles. The company generates revenue by selling its virtual sensor technology and platform to car manufacturers.
COMPREDICT recently secured a $15 million Series B funding round, which will be used to scale its automotive virtual sensor technology. This investment highlights the growing importance of software-defined vehicles in the automotive industry.
Keywords: virtual sensors, automotive, software-defined vehicles, predictive maintenance, data analysis, vehicle components, automotive technology, sensor technology, mobility, deeptech