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Version control Reporting & Analytics Managed Data Services Data Annotation 3D Point Cloud Labeling See all 
Version control Tracks dataset versions, changes, and lineage to ensure reproducibility and auditability of AI training workflows. Reporting & Analytics Generates performance reports, labeling metrics, and quality insights to monitor project progress effectively. Managed Data Services Offers expert human annotation teams and project support to scale AI data production for enterprises. Data Annotation Provides 2D and 3D annotation tools for images, videos, and LiDAR point clouds to train AI perception models accurately. 3D Point Cloud Labeling Enables precise labeling of LiDAR data with cuboids, polygons, and semantic segmentation for autonomous systems. Image & Video Labeling Supports frame-by-frame and sequence-based labeling with tracking tools to improve training dataset consistency. Sensor Fusion Support Combines camera, LiDAR, radar, and other sensor data into a unified workspace for better perception model development. Multi-Sensor Calibration Aligns multiple sensors spatially and temporally to ensure accurate perception data for robotics and ADAS systems. Dataset Management Organizes datasets with metadata, versioning, and search capabilities for efficient AI training data workflows. AI-Assisted Labeling Uses machine learning models to pre-label data and reduce manual annotation effort while improving efficiency. Quality Assurance Includes validation workflows and review tools to maintain annotation accuracy and consistency across datasets. Workflow Automation Automates labeling pipelines, task assignment, and review processes to accelerate large-scale AI data projects. Collaboration Tools Allows multiple annotators and reviewers to work together with role-based access and project management features. Data Validation & Testing Supports validation scenarios to test perception models against edge cases and real-world driving conditions. Scenario Generation Creates synthetic or curated scenarios for training and testing autonomous system behavior under varied conditions. Security & Compliance Provides enterprise-grade security standards, access controls, and compliance with data protection regulations. API & Integration Enables integration with machine learning pipelines, storage systems, and third-party tools via APIs and SDKs. | Brand Name | Deepen |
| Information | The only safety-first full AI data tool suite for annotation, calibration & validation |
| Founded Year | 2011 |
| Director/Founders | Anil Muthineni, Cheuksan Wang, Mohammad Musa |
| Company Size | 1-100 Employees |
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