coScene is a multimodal scene data platform that provides a complete toolchain for managing, transforming, and sharing large-scale scene data across various applications, including autonomous driving and robotics. By streamlining data operations, coScene enables industries to efficiently utilize vast amounts of data generated by interconnected devices, enhancing productivity and operational effectiveness.
Funding
Funding not disclosed
Founders
Product
Problem
Autonomous driving, robotics, and Industrial IoT applications generate massive volumes of multimodal scene data that are difficult to manage, transform, and utilize effectively. Inefficient data operations hinder research and development, slow down the training of AI models, and limit the potential for data-driven insights.
Solution
coScene is a multimodal scene data platform that provides a complete toolchain for managing, transforming, and sharing large-scale scene data. The platform's core engines enable users to efficiently track, store, utilize, and share scene data, streamlining data operations for various applications. By providing tools for data management, large-scale workflow scheduling, and semantic search, coScene empowers industries to leverage vast amounts of data generated by interconnected devices.
Target Audience
The primary target audience includes companies in the autonomous driving, robotics, and Industrial IoT sectors that require efficient management and utilization of large-scale scene data.
Features
- Scene Data Management Engine: Facilitates the collection, persistence, management, and streaming of scene data.
- Large Scale Workflow Engine: Enables the scheduling of large-scale data processing workflows.
- Semantic Search Engine: Allows users to navigate and search through large datasets using semantic queries.
- Support for multimodal data, including sensor data, images, and point clouds.
- Tools for data transformation, cleaning, and annotation.
- Scalable infrastructure for handling petabytes of data.