AI teams are constantly pushing the boundaries—building better models, improving data quality, and accelerating iteration cycles. From curating massive datasets to optimizing training pipelines, every step in the AI lifecycle demands efficiency, scalability, and precision.
Yet, as datasets grow larger, storage and data retrieval can become significant bottlenecks. Slow access times, redundant data storage, and complex integrations increase costs and slow down AI workflows.
That’s where SuperAnnotate and UltiHash come in. This integration helps AI teams:
By combining UltiHash’s scalable, high-performance object storage with SuperAnnotate’s industry-leading annotation platform, AI teams can now work faster, more efficiently, and at a lower cost—from dataset preparation to model training.
AI teams processing massive visual datasets – Quickly annotate and manage large-scale data with lower storage costs. (e.g., self-driving car datasets, aerial imagery, medical imaging)
Teams training LLMs & CV models – Accelerate dataset curation with near-instant data retrieval. (e.g., NLP teams training large-scale foundation models, computer vision teams working with video frames)
By removing traditional storage bottlenecks, this integration empowers computer vision, NLP, and AI teams to process and analyze large datasets with unprecedented efficiency.
Integrating UltiHash with SuperAnnotate enables AI teams to access and annotate their datasets efficiently—without unnecessary storage overhead or complex setup. This connection is powered by SuperAnnotate’s Custom Integration API, allowing secure access to data via temporary pre-signed URLs.
https://<urls-generator-domain-name>/integrate).For a full tutorial on how to integrate SuperAnnotate with UltiHash, see this documentation.
UltiHash is high-performance object storage built for modern AI and analytics workflows. With built-in byte-level deduplication, it reduces data redundancy and storage costs, all while keeping performance lightning-fast. Its Kubernetes-native architecture enables seamless deployment across cloud, on-premises, and hybrid environments. Finally, it features an S3-compatible API for easy integration with a huge range of tools across the data stack.
SuperAnnotate is the only fully customizable, one-stop platform for building exactly the annotation tools and workflows your AI projects demand—while unifying the management of all your teams, vendors, and data in one place. Forget juggling separate solutions and patchwork processes; SuperAnnotate streamlines high-quality data delivery across your entire AI portfolio.
We’ve tested it. It works. Now, it’s your turn. Try the integration yourself and see how it transforms your AI workflows.
Click here to book a demo of UltiHash, and make sure to visit SuperAnnotate to get started with their annotation platform.
AI teams are constantly pushing the boundaries—building better models, improving data quality, and accelerating iteration cycles. From curating massive datasets to optimizing training pipelines, every step in the AI lifecycle demands efficiency, scalability, and precision.
Yet, as datasets grow larger, storage and data retrieval can become significant bottlenecks. Slow access times, redundant data storage, and complex integrations increase costs and slow down AI workflows.
That’s where SuperAnnotate and UltiHash come in. This integration helps AI teams:
By combining UltiHash’s scalable, high-performance object storage with SuperAnnotate’s industry-leading annotation platform, AI teams can now work faster, more efficiently, and at a lower cost—from dataset preparation to model training.
AI teams processing massive visual datasets – Quickly annotate and manage large-scale data with lower storage costs. (e.g., self-driving car datasets, aerial imagery, medical imaging)
Teams training LLMs & CV models – Accelerate dataset curation with near-instant data retrieval. (e.g., NLP teams training large-scale foundation models, computer vision teams working with video frames)
By removing traditional storage bottlenecks, this integration empowers computer vision, NLP, and AI teams to process and analyze large datasets with unprecedented efficiency.
Integrating UltiHash with SuperAnnotate enables AI teams to access and annotate their datasets efficiently—without unnecessary storage overhead or complex setup. This connection is powered by SuperAnnotate’s Custom Integration API, allowing secure access to data via temporary pre-signed URLs.
https://<urls-generator-domain-name>/integrate).For a full tutorial on how to integrate SuperAnnotate with UltiHash, see this documentation.
UltiHash is high-performance object storage built for modern AI and analytics workflows. With built-in byte-level deduplication, it reduces data redundancy and storage costs, all while keeping performance lightning-fast. Its Kubernetes-native architecture enables seamless deployment across cloud, on-premises, and hybrid environments. Finally, it features an S3-compatible API for easy integration with a huge range of tools across the data stack.
SuperAnnotate is the only fully customizable, one-stop platform for building exactly the annotation tools and workflows your AI projects demand—while unifying the management of all your teams, vendors, and data in one place. Forget juggling separate solutions and patchwork processes; SuperAnnotate streamlines high-quality data delivery across your entire AI portfolio.
We’ve tested it. It works. Now, it’s your turn. Try the integration yourself and see how it transforms your AI workflows.
Click here to book a demo of UltiHash, and make sure to visit SuperAnnotate to get started with their annotation platform.