Stack AI
AI agents that interact and answer questions with users and complete tasks using your data and APIs. AI that can answer questions, summarize and extract insights from any long document. Transfer styles and formats, as well as tags and summaries between documents and data sources. Stack AI is used by developer teams to automate customer service, process documents, qualify leads, and search libraries of data. With a single button, you can try multiple LLM architectures and prompts. Collect data, run fine-tuning tasks and build the optimal LLM to fit your product. We host your workflows in APIs, so that your users have access to AI instantly. Compare the fine-tuning services of different LLM providers.
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Brandfolder
As a frontrunner in Digital Asset Management software, Brandfolder offers a user-friendly platform that empowers administrators to effortlessly store, manage, share, manipulate, and analyze an array of assets, including 8K video, documents, images, and 3D renderings. Additionally, with the integration of asset usage analytics through Brand Intelligence, the platform equips users with the necessary tools to enhance creative strategies using insights derived from data. By leveraging cutting-edge AI and machine learning technologies, Brand Intelligence reveals details about asset usage, including who is utilizing the assets, their application contexts, and the identification of top-performing assets. The distribution of brand assets is streamlined by allowing users to share individual assets, groups of assets, or their entire Brandfolder while maintaining robust privacy controls and individualized user permissions. Brandfolder has garnered the trust of numerous prestigious brands, ranging from innovative startups to established Fortune 500 companies, solidifying its reputation in the industry. Its commitment to continuous improvement ensures that users stay ahead in the fast-evolving landscape of digital asset management.
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InformAI
InformAI specializes in artificial intelligence solutions designed to enhance medical diagnostics at the point-of-care and boost the efficiency of radiologists. Our advanced AI-driven image classifiers and predictions related to patient outcomes are developed in collaboration with the Texas Medical Center, which is the largest medical center complex globally. Through partnerships with esteemed healthcare organizations, prominent physician associations, and top medical imaging firms, InformAI is revolutionizing healthcare delivery. Our team is made up of experts in the fields of healthcare, medicine, and artificial intelligence, working together to create innovations that lead to better patient results. One of our notable products, the InformAI Sinus Image Classifier, utilizes a 3D convolutional neural network (CNN) and is trained on a comprehensive library of 6 million radiology-validated 3D CT-scan images, showcasing our commitment to leveraging cutting-edge technology in the medical field. This approach not only enhances diagnostic accuracy but also contributes to more timely and effective patient care.
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Pearl Practice Intelligence
Transforming practice data into profitability, enhancing practitioner performance, and improving patient health is made possible through clinical performance insights derived from a cutting-edge AI pathology detection engine. Pearl’s computer vision technology, which has been developed using the most extensive collection of meticulously labeled dental images globally, interprets radiographs with the precision of a seasoned dentist while maintaining the rapidity and reliability of automated systems. By utilizing Practice Intelligence®, dental practices can harness Pearl’s AI capabilities to generate powerful clinical insights that are integrated into every phase of their operations, ultimately elevating both patient care and overall practice efficiency. This advanced system can automatically identify components of teeth and their supporting structures, providing enhanced, localized radiological insights. Furthermore, it allows for accurate evaluations of anatomical size, the degree of bone deterioration, and the advancement of decay. Clinicians can review AI-generated detections, approve or reject them, and incorporate additional observations to ensure that patients receive a clear and accurate representation of their dental health. This not only fosters trust but also enhances the overall patient experience in the dental clinic.
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