Cogito Integrations

Label data for NLP faster with your team and our AI. LightTag manages your workforce so you can focus on the important things. Best of all, it just works. Work Faster With Our Optimized Interface: - Keyboard Shortcuts - No tokenization assumptions - Full Unicode Support - Subword and phrase annotations - RTL and CJK languages - Entity, Classification and Relation annotations LightTag's Review Mode and Reporting make it easy to ensure your data is perfect and your annotators are performing at their very best. LightTag's AI quickly learns high precision predictions, automating away simple labels and freeing your team to create more and higher quality labels. 50% of the annotations made in LightTag come from our AI suggestions, in any language! You can also provide suggestions with your own models, regular expressions and dictionaries. Use our review feature to quickly validate your models and bootstrap a project.

RedBrick AI is a Collaborative & Rapid Medical Data Annotation platform. Purpose-built platform to help Healthcare AI teams build high-quality training datasets for all types of radiological imaging, including **CT, MRI, X-ray, Ultrasound, Fluoroscopy, and other standard imaging. Along with native support for medical data formats such as DICOM and NIfTI and can handle complex tasks like multi-series annotation and extensive DICOM studies. Our platform provides the most advanced and user-friendly 2D & 3D web-based annotation tools, with a PACS-like viewer. All common annotation use cases such as instance/semantic segmentation, landmarking, classification, and ROI measurements, are supported to accelerate annotation by up to 60%.

Achieve peak model performance with the best data. Create & manage training data for any visual modality, debug models and boost performance, and make foundation models your own. Expert review, QA and QC workflows help you deliver higher quality datasets to your artificial intelligence teams, helping improve model performance. Connect your data and models with Encord's Python SDK and API access to create automated pipelines for continuously training ML models. Improve model accuracy by identifying errors and biases in your data, labels and models.

Manage unstructured data and pipelines to develop AI solutions at amazing speed. Enterprise-grade data platform for vision AI. Dataloop is a one-stop shop for building and deploying powerful computer vision pipelines data labeling, automating data ops, customizing production pipelines and weaving the human-in-the-loop for data validation. Our vision is to make machine learning-based systems accessible, affordable and scalable for all. Explore and analyze vast quantities of unstructured data from diverse sources. Rely on automated preprocessing and embeddings to identify similarities and find the data you need. Curate, version, clean, and route your data to wherever it’s needed to create exceptional AI applications.

AWS pre-trained AI Services provide ready-made intelligence for your applications and workflows. AI Services easily integrate with your applications to address common use cases such as personalized recommendations, modernizing your contact center, improving safety and security, and increasing customer engagement. Because we use the same deep learning technology that powers Amazon.com and our ML Services, you get quality and accuracy from continuously-learning APIs. And best of all, AI Services on AWS doesn't require machine learning experience. Catalog assets, automate workflows, and extract meaning from your media and applications. Identify missing product components, vehicle and structure damage, and irregularities for comprehensive quality control. Improve operations with automated monitoring to find bottlenecks and assess manufacturing quality and safety. Pull valuable information from millions of documents at speed.

​V7 Go is a work automation platform that leverages foundation models to learn repetitive tasks and automate them reliably and at scale. It enables organizations to automate workflows across various data types, including documents, images, text, and videos, by connecting data to generative AI models. It supports complex tasks such as extracting key financial metrics, analyzing unstructured data, and generating actionable insights in minutes. V7 Go offers instant setup without the need for API keys and allows chaining multiple generative AI models to extract data, generate summaries, or perform complex reasoning tasks visually. It improves reliability through human-in-the-loop workflows, enabling human corrections to enhance AI accuracy over time. It also features AI citations for transparent and trustworthy responses, highlighting document excerpts used as information sources.

The training data platform for AI teams. A machine learning model is only as good as its training data. Labelbox is an end-to-end platform to create and manage high-quality training data all in one place, while supporting your production pipeline with powerful APIs. Powerful image labeling tool for image classification, object detection and segmentation. When every pixel matters, you need accurate and intuitive image segmentation tools. Customize the tools to support your specific use case, including instances, custom attributes and much more. Performant video labeling editor for cutting-edge computer vision. Label directly on the video up to 30 FPS with frame level. Additionally, Labelbox provides per frame label feature analytics enabling you to create better models faster. Creating training data for natural language intelligence has never been easier. Label text strings, conversations, paragraphs, and documents with fast & customizable classification.