ScaleOps.AI provides an on-demand API that automates workflow by aggregating and managing human workers for various tasks. Their platform offers scalable and cost-efficient operations for eCommerce catalog management, AI training data, and financial data transcription.
Funding
Funding not disclosed
Founders
Product
Problem
Training AI and ML models requires large, accurately labeled datasets, but the process of annotating images, text, video, and audio is often time-consuming, expensive, and prone to errors. Outsourcing annotation tasks can raise concerns about data security, quality control, scalability, and turnaround time.
Solution
ScaleOps.AI provides a managed data annotation service that helps organizations train AI models with high-quality labeled data. The platform offers a turn-key solution for image, video, audio, and text annotation, leveraging a team of trained, in-house annotators and enterprise-grade security controls. ScaleOps aims to deliver accurate annotations at a low cost, with elastic scalability and quick turnaround times. The company employs internal HR quality systems that assign a share of annotations to multiple labelers to assess individual performance, and use both, sticks and carrots, to control output quality - even at a massive scale.
Target Audience
ScaleOps.AI primarily serves organizations in industries such as autonomous driving, fashion, livestock management, agriculture, and medical diagnostics that require large volumes of accurately labeled data to train their AI and ML models.
Features
- Image annotation services including bounding boxes, polygons, semantic segmentation, landmark key points, lines, splines, image classification, and transcription
- NLP text annotation services including named entity recognition (NER), parts of speech tagging (POS), end-to-end entity linking, entity disambiguation, entity relationship extraction, document classification, and sentiment annotation
- Video annotation services including tagging and categorization, 2D and 3D bounding boxes, and semantic segregation
- Audio annotation services including categorization, transcription, and sentiment analysis
- SOC 2 compliant data security with background-verified, in-house annotators, 24/7 camera surveillance, biometric security, and strict computer usage guidelines
- Support for various data annotation tools including CVAT, VOTT, Labelmg, Supervise.ly, Oclavi, Prodigy, and AWS SageMaker
- Output formats including JSON, XML, PASCAL VOC, YOLO, and COCO