Capoom provides a 3D synthetic data generation platform to create large-scale, high-fidelity datasets for AI training and simulation. This platform reduces the time and cost of real-world data collection by generating diverse, realistic 3D environments and digital twins. Solutions are customizable for industries including autonomous driving, robotics, and urban planning.
Funding
$20K raised to dateRaised 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.
Founders
Product
Problem
Training AI models, particularly in fields like autonomous driving and robotics, requires large, diverse datasets that are often expensive and time-consuming to collect in the real world. Acquiring sufficient data to cover edge cases and rare scenarios poses a significant challenge.
Solution
Capoom offers a 3D synthetic data generation platform that enables users to create customizable datasets for AI training at scale. The platform leverages 3D modeling and scanning tools to produce high-fidelity, realistic environments and digital twins tailored to specific industry needs. By generating synthetic data that mimics real-world scenarios, Capoom reduces the time and cost associated with traditional data collection methods. This allows organizations to train AI models with diverse data, including critical edge cases, without the logistical hurdles of real-world data acquisition.
Target Audience
The primary target audience includes companies in autonomous driving, robotics, urban planning, tourism, and architecture that require large, diverse datasets for AI model training and simulation.
Features
- 3D modeling and scanning tools for creating realistic environments and digital twins
- Customizable dataset generation to meet specific industry requirements
- Scalable synthetic data generation to reduce AI training costs
- Support for generating edge cases and rare scenarios for robust model training