
cogniBIT
Supports the development of safe autonomous driving through realistic simulation of all kind of road users, such as other motorists or pedestrians.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor | €0.0 | round |
investor | €0.0 | round | |
N/A | Support Program | ||
Total Funding | 000k |
EUR | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 181 % | - |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
Related Content
Cognibit is a company working to make autonomous vehicles safer by bringing the human element into traffic simulation. Their cutting-edge cognitive AI algorithms simulate complex human road user behavior, such as how humans perceive, think, and act. This technology supports all stages of the ADAS and AD development process, from training AI algorithms to identifying critical edge cases scenarios.
Cognibit's traffic models are highly realistic, with simulated road users interacting with the vehicle under test at runtime. The simulated road users have typical human limitations such as a limited field of view, reaction times or lack of attention, and factors such as age and emotions can be adapted for each simulated individual driver. The models are also deterministic in the sense of generating fully reproducible results, while also containing stochastic elements representing uncertainties in human information processing.
What sets Cognibit apart from other businesses in the same industry is their ability to automatically generate valid and realistic scene variations without the need for manual trajectory adjustment or real-world data acquisition. Their road user models are also platform-independent and support common industry standards, making them a valuable asset for the autonomous vehicle industry.