What we handle:
This partnership accelerates your model development by combining Encord’s automation and workflows with our human expertise. You get faster iterations and higher quality data without the overhead of building or managing annotation operations in-house.
We supported a robotics company by labeling complex 3D LiDAR and video data within Encord’s multimodal environment. These annotations improved depth perception and object detection for autonomous navigation systems.
We collaborated with AI research teams to evaluate and label agent responses within Encord, applying detailed scoring and intent classification workflows that improved overall model reliability.
For a global AI project focused on voice technology, we used Encord’s audio annotation capabilities to tag multilingual audio clips. Our annotators ensured consistency and precision across languages, accents, and environments.
For a content AI firm, we used Encord’s platform to segment, tag, and summarize long-form video data. The resulting labeled clips streamlined model training and improved video understanding performance.
Be a part of the future of AI data labeling with Encord and Objectways. Let’s simplify, scale, and strengthen your data annotation workflows together.
See how leading companies use our data annotation services to build smarter AI solutions with speed, scale, and confidence.