
Kognic
Provides a unique productivity platform for developing safe perception systems.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor | €0.0 | round |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
investor investor investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
* | $100k Valuation: $120m | Early VC | |
Total Funding | 000k |
EUR | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 276 % | 106 % | 14 % | 24 % | 22 % |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% EBITDA margin | - | (3 %) | (78 %) | (122 %) | - | - |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% profit margin | 7 % | (4 %) | (80 %) | (123 %) | - | - |
EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 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 |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
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Kognic specializes in pioneering dataset management solutions aimed at accelerating the development of high-performing and trusted AI products, particularly for the automotive industry. The company operates globally with offices in Gothenburg, Munich, Tokyo, and the West Coast USA. Kognic serves clients who are primarily involved in the automotive sector, focusing on enhancing machine learning (ML) performance through iterative understanding of datasets. The business model revolves around providing advanced tools and services that help companies manage and optimize their datasets, thereby improving the efficiency and reliability of their AI systems. Revenue is generated through the sale of these specialized tools and consulting services. Kognic's commitment to high security standards is evidenced by its TISAX ENX Assessment Level 3 compliance, ensuring best-in-class security for its clients. The company promotes a strong work-life balance and supports hybrid work models, making it an attractive workplace for top talent.
Keywords: dataset management, AI development, automotive industry, machine learning, security compliance, global presence, iterative understanding, high performance, trusted AI, hybrid work.