Resco Mobile App Development Toolkit
A no-code platform designed for creating mobile business applications tailored to Microsoft Dynamics 365, Power Platform, Business Central, and Salesforce. This toolkit empowers you to build white-labeled, scalable apps optimized for industries such as utilities, energy, construction, and field service.
With offline functionality, secure data synchronization, and customizable features, you can design mobile solutions for inspections, asset management, work orders, and more. Its drag-and-drop interface makes it easy to create tailored forms, workflows, and dashboards—no coding required.
For partners and ISVs, the toolkit offers an opportunity to build verticalized mobile solutions, extend CRM and ERP capabilities, and generate new revenue streams by delivering branded apps that meet the specific needs of frontline workers. Whether you're modernizing field operations or equipping clients with reliable mobile technology, this toolkit provides the tools you need to succeed.
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Google Cloud Speech-to-Text
Google Cloud’s Speech API processes more than 1 billion voice minutes per month with close to human levels of understanding for many commonly spoken languages. Powered by the best of Google's AI research and technology, Google Cloud's Speech-to-Text API helps you accurately transcribe speech into text in 73 languages and 137 different local variants. Leverage Google’s most advanced deep learning neural network algorithms for automatic speech recognition (ASR) and deploy ASR wherever you need it, whether in the cloud with the API, on-premises with Speech-to-Text On-Prem, or locally on any device with Speech On-Device.
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SquareML
SquareML is a no-code machine learning platform designed to democratize access to advanced data analytics and predictive modeling, particularly in the healthcare sector. It enables users, regardless of technical expertise, to harness machine learning capabilities without extensive coding knowledge. The platform specializes in data ingestion from multiple sources, including electronic health records, claims databases, medical devices, and health information exchanges. Key features include a no-code data science lifecycle, generative AI models for healthcare, unstructured data conversion, diverse machine learning models for predicting patient outcomes and disease progression, a library of pre-built models and algorithms, and seamless integration with various healthcare data sources. SquareML aims to streamline data processes, enhance diagnostic accuracy, and improve patient care outcomes by providing AI-powered insights.
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