SUPA is a data labeling platform that combines advanced technology with expert human insight to enhance AI model performance. It offers a comprehensive solution for machine learning teams, providing high-quality, scalable, and efficient data annotation services across various industries, including healthcare, manufacturing, and design. Key Features and Functionality: - Expert Annotators: SUPA employs trained annotators who undergo rigorous training and assessments to ensure high-quality data l
Machine Learning
Our patented cloud-based platform can transcribe audio and annotate images and text while allowing you to distribute, track and monitor workloads worldwide.
Acme AI Ltd. is a data annotation and artificial intelligence solution developer based in Bangladesh. We support development and augmentation of artificial intelligence systems in the space of agricultural AI, retail automation, robotics, autonomous vehicles, medical AI, geospatial imagery among many more with a focus on computer vision-based labelling operations.
This solution automatically identifies and trains the best performing deep learning model for text classification.
We at ThemeSelection, provide fully coded dashboard templates & UI kits which makes web app development easier.
Ensure reliable and trustworthy model inference that delivers real business value with CloudFactory's AI Data Platform.
At TrainingData.io, we build tools for ML/AI engineers. Marketplace for Validation Training Data for AI/ML Models.
Customizable Labels, Cards, Tags & So Much More!
Innotescus is a collaborative video and image annotation platform designed to streamline the development of computer vision models. It offers an intuitive workspace for annotating images and videos, comprehensive analytics, and robust collaboration tools, enabling teams to produce high-quality training datasets efficiently. By integrating smart annotation features and data visualization tools, Innotescus helps identify data biases early, improve annotation accuracy, and accelerate the deployment
Jaxon dramatically increases AI project success rates, fosters collaboration, increases staff efficiency, and continuously learns what works and when. Through R&D efforts with the U.S. Department of Defense, Jaxon has created a way of simulating model system performance and getting the design right the first time. Generative AI for Building AI By formalizing the AI design process, design tradeoffs are able to be explored. It allows all talent levels to quickly and easily create, test, and it
Barcode Producer creates perfect barcodes for retail packages, labels, books, packages, and more.
Supervisely Enterprise is fully self-hosted and cloud frendly: install it on your servers or in the cloud, keep everything private. We provide API, SDK and backend source codes. So it is highly customizable and can be integrated into any technology stack.
The vast majority (80%+) of business-relevant data is unstructured. At Acodis, we developed a document retrieval engine based on Artificial Intelligence that enables companies to extract and analyze data more efficiently and automatically turn them into valuable information. Acodis is available as SaaS for any document in every language and used in financial services, logistics, real estate, pharma, and public institutions. Customers do not require any coding skills and can, therefore, train
ShipJunction is a shipping platform built for brands that are growing fast and need a more efficient way to manage fulfillment across D2C, wholesale, retail, and EDI. It supports both single-order processing and large-scale batch fulfillment, giving operations teams the flexibility to move at the pace their business demands. The system automatically selects the best carrier and service, prints shipping labels and packing slips in under one second, and handles custom-branded documentation with e
Smolagents is an open-source Python library developed by Hugging Face, designed to simplify the creation and execution of AI agents with minimal code. With a core logic comprising approximately 1,000 lines, smolagents emphasizes simplicity and efficiency, enabling developers to build powerful agents swiftly. The library is model-agnostic, allowing integration with various large language models (LLMs), including those from Hugging Face, OpenAI, Anthropic, and others via LiteLLM integration. It al