Behold.ai Reviews

Significantly improve the speed and quality of Radiology reporting by reducing unnecessary dictation, particularly for ultrasound and DEXA. Imorgon transfers modality measurements into Powerscribe/Fluency/RadAI merge fields/tokens, eliminating manual entry errors. Imorgon's specialized services offer the following advantages: - All measurements are always transferred (usually DICOM SR) - Electronic worksheets capture findings and insert them into Powerscribe/Fluency/RadAI (rather than dictating from a worksheet) - Worksheets with priors, calculators, and clinical decision support (TI-RADS, O-RADS, etc) - Integrate into Epic or other EHRs - Vendor neutral - Support to ensure everything continues working Significant improvement in the overhead of reporting with a quick ROI.

Synerion is workforce management software engineered for organizations that require accuracy, configurability, and long-term reliability when managing employee time, scheduling, and labor costs. Instead of forcing businesses into rigid templates or relying on brittle spreadsheets, Synerion adapts to the complexity of real-world operations. Time can be captured through a range of devices — biometric clocks (fingerprint, facial recognition), proximity or HID card readers, mobile apps with geofencing, browser-based portals, or tablet kiosks. Each punch is processed in real time and validated against configurable pay rules, including overtime, shift premiums, union agreements, step rates, and project-based allocations. This reduces payroll errors at the source and eliminates costly manual reconciliation. Offline mode with automated sync ensures no time data is lost, even during outages. Managers gain tools to design complex schedules with rotations, shift balancing, and skill coverage checks, while automated alerts notify them of gaps, overtime risks, or missed punches before they become problems. Finance and operations teams benefit from configurable dashboards and audit-ready reports that provide transparency into hours, costs, and labor allocation at the job, project, or department level. This gives leadership confidence in their workforce data and a clear view into labor’s impact on profitability. Deployment is handled directly by Synerion’s in-house specialists rather than outsourced contractors, ensuring faster discovery, accurate configuration, and smoother go-lives. Customers can choose Synerion Agile, a quick-start package for fast adoption, or Synerion Enterprise, a fully configurable system capable of supporting highly complex requirements. With 35 years of experience and thousands of customers across manufacturing, healthcare, logistics, and government, Synerion combines enterprise-level flexibility with mid-market accessibility.

InformAI focuses on developing artificial intelligence solutions aimed at improving medical diagnostics right at the point-of-care, while also increasing the productivity of radiologists. Our innovative AI-powered image classification tools and predictive analytics concerning patient outcomes are crafted in partnership with the Texas Medical Center, the largest medical center complex in the world. By collaborating with leading healthcare organizations, prestigious physician associations, and top-tier medical imaging companies, InformAI is actively transforming the landscape of healthcare delivery. Our team comprises specialists in healthcare, medicine, and artificial intelligence, united in their mission to create advancements that yield improved patient outcomes. Among our standout offerings is the InformAI Sinus Image Classifier, which employs a 3D convolutional neural network (CNN) and is trained on an extensive collection of 6 million radiology-validated 3D CT-scan images, underscoring our dedication to utilizing state-of-the-art technology in medicine. This strategy not only elevates diagnostic precision but also facilitates quicker and more effective patient care, ultimately enhancing the overall healthcare experience. Through these efforts, we aim to set new standards in medical diagnostics and patient treatment.