

Find out in this report how the two Low-Code Development Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Each one we've carefully measured ROI and been able to demonstrate significant ROI with them.
The biggest return on investment for me when using Azure AI Foundry is the savings in cost for implementing our own observability, visibility, evaluation, and building our own infrastructure to do proof of concepts.
The playground is where you can deploy the model and test, and guardrails serve as the protection mechanism.
I evaluate customer service and technical support positively because we have the enterprise license, which allows us to prioritize serious issues, ensuring that Microsoft support responds quickly.
On a scale from one to ten, I would rate customer service and technical support as a nine.
I am receiving full support due to our partnership with Microsoft and because we are in the evaluation phase.
Azure AI Foundry scales with the growing needs of my organization very well.
The platform expands to all of our needs without us really having to do anything, so scalability is definitely there.
I've had a couple of times where I've had to get to the VP level of Microsoft before I could get the capacity I needed for my customers.
I have not experienced any downtime, crashes, or performance issues.
Regarding stability and reliability, I've had zero downtime with Azure AI Foundry, and it helps fix itself.
I would assess the stability and reliability of Azure AI Foundry as very good.
Providing data on the internal workings of Azure AI Foundry would help customers like us feel more comfortable adopting it.
What did not work well for us regarding Azure AI Foundry includes the security piece, being able to identify how to deploy to multiple regions, reducing latency, and managing tokens per minute.
With code, you know what the binary result is, but with prompting, it is a lot harder.
Regarding the pricing, setup cost, and licensing of Azure AI Foundry, I would say it is fair, but I think it gets more expensive.
the pricing, setup costs, and licensing for Azure AI Foundry are very expensive, but still cheaper than hiring an additional position
It was difficult to get an understanding of how we could model out our pricing and cost over time without talking to someone.
Some examples of how its features have benefited my organization include ease of access, being able to see what's functioning, what's not functioning, why it's not functioning, and when it stopped functioning, and to maintain visibility on day-to-day operations.
The feature of being able to pick the right models has been the most beneficial for enhancing our customer service because some AI models are more expensive but slower, while others are faster and cheaper, allowing us to pick the right model for the right task that we are trying to solve.
The feature that has been the most beneficial for enhancing customer experience is the one that allows you to compare multiple models to one another and see how they perform against each other.


| Company Size | Count |
|---|---|
| Small Business | 8 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 2 |
| Large Enterprise | 13 |
AuraQuantic is a digital platform designed for business users to easily and rapidly build unlimited processes and applications to automate end-to-end operations, reducing costs and optimizing productivity.
AuraQuantic is a no-code platform for building the enterprise solutions that drive Digital Transformation.
Delight users with attractive interfaces across multiple devices and deliver the best user experience. Respond immediately to their ever-changing needs with the agility provided by the platform and its no-code changes on the fly.
This is the most powerful part of any application. This is why AuraQuantic offers a long list of built-in, no-code functionalities.
To manage application and process data models, AuraQuantic provides a visual data model designer and supports importing data schemas.
Access rights management (to apps and app development), Application metadata collection, Application performance monitoring, Application works dashboard, Custom ‘guardrails’ for practitioners/developers, Role-based access control to data and services for app dev, Multiple practitioners/developers for a single app and across the platform.
Digital Decisioning features aim to inform and automate operational decisions. These decisions continue to increase in amount and complexity due to growing customer demands. Business decision automation is a must to keep up with ever-changing customer needs.
Thanks to business activity data collection, using custom applications built with AuraQuantic, the organization is empowered to carry out accurate analysis and act smart by leveraging business insights.
API REST, API SOAP, API DLL
Exposing APIs (process/application logic and decision systems)
Connector builder
REST and SOAP web services connector
External database connectors (Adapters Servers, scripts and stored procedures execution)
.Net Assembly connector Connectors with Artificial Intelligence services (AI)
Robotic Process Automation (RPA) service connectors
More built-in connectors (50+)
Microsoft Office 365, Google Suite, SAP…
Azure AI Foundry harnesses advanced AI technologies to streamline complex tasks across industries, offering cutting-edge solutions that enhance business processes and boost efficiency.
Azure AI Foundry integrates seamlessly into business environments, leveraging AI to transform traditional operations. It supports diverse applications by providing robust machine learning capabilities that drive innovation and enable intelligent automation. Designed to handle large-scale data analytics, it empowers users to make data-driven decisions swiftly and accurately, thereby optimizing resources and workflows.
What are the key features of Azure AI Foundry?Azure AI Foundry is utilized across multiple industries, including finance, healthcare, and manufacturing, where it aids in predictive analytics, patient data management, and supply chain optimization. Its ability to integrate AI-driven insights into everyday operations helps these sectors enhance their efficiency and innovate steadily in dynamic markets.
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