Trends, Tech, and beyond
Encord is the world’s first fully multimodal AI data platform. Today we are expanding our established computer vision and medical data development platform to support document, text, and audio data management and curation, whilst continuing to push the boundaries of multimodal annotation with the release of the world's first multimodal data annotation editor. Encord’s core mission is to be the last AI data platform teams will need to efficiently prepare high-quality datasets for training and fine-tuning AI models at scale. With recently released robust platform support for document and audio data, as well as the multimodal annotation editor, we believe we are one step closer to achieving this goal for our customers.
Introducing New Platform Capabilities
Key highlights:
- Introducing new platform capabilities to curate and annotate document and audio files alongside vision and medical data.
- Launching multimodal annotation, a fully customizable interface to analyze and annotate multiple images, videos, audio, text, and DICOM files all in one view.
- Enabling RLHF flows and seamless data annotation to prepare high-quality data for training and fine-tuning complex AI models.
Multimodal Data Curation & Annotation
AI teams everywhere currently use multiple tools to manage, curate, annotate, and evaluate AI data for training and fine-tuning AI multimodal models. It is time-consuming and often impossible for teams to gain visibility into large-scale datasets throughout model development due to a lack of integration and a consistent interface to unify these siloed tools.
To facilitate a new realm of multimodal AI projects, Encord is expanding the existing computer vision and medical data management, curation, and annotation platform to support two new data modalities: audio and documents, becoming the world’s only multimodal AI data development platform.
Launching Document And Text Data Curation & Annotation
AI teams building LLMs to unlock productivity gains and business process automation find themselves spending hours annotating content and text. With Encord, teams can centralize multiple fragmented multinomial data sources and annotate documents and text files alongside other data modalities all in one interface.
Unparalleled visibility into large document datasets allows AI teams to explore and curate the right data to be labeled, significantly speeding up data development workflows.
Launching Audio Data Curation & Annotation
Accurately annotated data forms the backbone of high-quality audio and multimodal AI models. Encord’s new audio data curation and annotation capability is designed to enable effective annotation workflows for AI teams working with any type and size of audio dataset.
Encord provides a flexible, user-friendly platform to accommodate any audio and multimodal AI project, regardless of complexity or size.
Launching Multimodal Data Annotation
Encord is the first AI data platform to support native multimodal data annotation. Using the customizable interface, teams can view, analyze, and annotate multimodal files in one place, unlocking a variety of use cases previously only possible through cumbersome workarounds.
Uniting Data Science and Machine Learning Teams
Encord's annotation tooling is built to support any document and text annotation use case efficiently and flexibly. Teams can achieve multimodal annotation of different data modalities simultaneously, enhancing their labeling experience.
AI Data Platform: Consolidating Data Management, Curation, and Annotation Workflows
Over the past few years, Encord has been working with leading AI teams to provide infrastructure for data-centric AI development. Index, Encord’s purpose-built data management, and curation solution enable AI teams to unify large-scale datasets across fragmented sources and securely manage and visualize data on one platform.
By connecting data storages via API or SDK, teams instantly manage and visualize all data on Index, leading to reduced dataset size, improved model performance, and cost savings.
Encord: The Final Frontier of Data Development
Encord is designed to future-proof data pipelines for growth, enabling teams to search, curate, and label unstructured data into high-quality data needed to drive improved model performance and productionize AI models faster.
