Repli5
Repli5 utilizes generative AI to create synthetic camera data for training computer vision models, enabling the development of robust perception systems in autonomous vehicles. This approach significantly reduces the time and cost associated with gathering real-world training data, particularly for edge cases and scenarios with limited available data.
- Artificial Intelligence
- Data & Analytics
- Autonomous Vehicles
- Defense Tech
- Developer Tools
- Enterprise Software
Funding
Raised to date
$571KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
$179.4K across 1 disclosed round
CV$179.4K · Seed
Announced Feb 2025
Disclosed cumulative: $179.4K
Reported total $571K
Incomplete round history. $391.6K of the $571K reported total isn’t matched to a known round (1 known round has an undisclosed amount).
Founders
Product
Problem
Developing robust computer vision models for autonomous systems requires extensive and diverse training datasets, but gathering and annotating real-world data is time-consuming, expensive, and often limited for rare or hazardous scenarios. This lack of sufficient training data can lead to unreliable perception systems, especially in safety-critical applications.
Solution
Repli5 offers a generative AI platform that creates synthetic camera data to train computer vision models, addressing the limitations of real-world data acquisition. The platform enables the generation of augmented datasets tailored to specific use cases, including edge cases and scenarios where real-world data is scarce or unavailable. By using generative AI, Repli5 reduces the time and cost associated with traditional data collection methods, while improving the robustness and reliability of perception systems. The generated data can be used to train models for autonomous driving, industrial robotics, and defense applications.
Target Audience
The primary target audience includes companies developing computer vision systems for autonomous vehicles (ADAS/AD), industrial robotics, and defense applications.
Features
- Generative AI models for creating synthetic camera data
- Tools for augmenting existing datasets with synthetic data
- Customizable scenario generation for specific use cases and edge cases
- Support for various sensor configurations and environmental conditions
- Integration with existing machine learning training pipelines
- CAD file integration for robotics applications