Resco Mobile App Development Toolkit
Resco Mobile App Development Toolkit is a no-code platform for building custom mobile business applications designed to enhance Microsoft Dynamics 365, Power Platform, Business Central, and Salesforce. Ideal for partners and ISVs, it enables you to create white-labeled, scalable apps for industries like utilities, energy, construction, and field service.
With offline functionality and secure data synchronization, you can build mobile solutions tailored for inspections, asset management, work orders, and more. The drag-and-drop interface streamlines customization, allowing you to design workflows, forms, and dashboards without coding expertise.
This toolkit empowers you to create verticalized mobile solutions that extend CRM and ERP capabilities while addressing the specific needs of frontline workers. Deliver branded apps, modernize field operations, and generate new revenue streams by equipping clients with reliable, industry-specific mobile technology. Unlock the potential to scale your business with Resco's flexible and robust toolkit.
Learn more
Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
Learn more
Google Cloud Vision AI
Harness the power of AutoML Vision or leverage pre-trained Vision API models to extract meaningful insights from images stored in the cloud or at the network's edge, allowing for emotion detection, text interpretation, and much more. Google Cloud presents two advanced computer vision solutions that utilize machine learning to provide top-notch prediction accuracy for image analysis. You can streamline the creation of bespoke machine learning models by simply uploading your images, using AutoML Vision's intuitive graphical interface to train these models, and fine-tuning them for optimal performance in terms of accuracy, latency, and size. Once perfected, these models can be seamlessly exported for use in cloud applications or on various edge devices. Additionally, Google Cloud’s Vision API grants access to robust pre-trained machine learning models via REST and RPC APIs. You can easily assign labels to images, categorize them into millions of pre-existing classifications, identify objects and faces, interpret both printed and handwritten text, and enhance your image catalog with rich metadata for deeper insights. This combination of tools not only simplifies the image analysis process but also empowers businesses to make data-driven decisions more effectively.
Learn more
Mitutoyo AI INSPECT
Mitutoyo has established itself as a global frontrunner in the realm of precision measuring tools and solutions. In our dedication to supporting your goal of producing entirely defect-free products, we have harnessed artificial intelligence to devise an innovative approach to the intricate challenge of defect detection. Historically, the process of visual defect detection has been not only expensive but also labor-intensive. With the advent of AI INSPECT from Mitutoyo, we empower users to craft straightforward yet advanced defect detection systems for visual inspection, thanks to the remarkable capabilities of artificial intelligence and machine learning. This state-of-the-art software employs deep-learning convolutional networks to discern the visual discrepancies between normal and defective pixels across any series of related images. Users can easily upload images of both defects and normal products into the application to establish a project model. They can then utilize intuitive marking tools to identify defects within the images. Furthermore, the software provides a guided training setup process that requires no prior knowledge of artificial intelligence, making it accessible to all users who wish to enhance their inspection capabilities. Ultimately, this transformative tool not only simplifies the defect detection process but also enhances overall product quality.
Learn more