Cloud Based

BasisPanel Cloud is a SaaS/PaaS-based solution that brings together a suite of back-office applications, such as CRM, ERP, project management, and finance, into a single pane of glass. Developed by Manzoomeh Negarān Group, not only does it provide integrated functionality, but it also provides the capability for custom development through its scripting language, BasisCore. BasisPanel solutions are all natively cloud-run, so there is no requirement for installing any client software on the users' computers.

Genspark AI’s Voice-Based Agent Calling enables its cloud-native Super Agent to place real phone calls using natural-sounding AI voices—automating tasks like reservations, appointment scheduling, and surveys without human intervention. Built on a multi-agent orchestration framework running entirely in the cloud, this feature parses user prompts, maps subtasks to specialized models, and synthesizes live dialogues via text-to-speech engines .Through RESTful APIs, businesses can integrate voice calling at scale—benefiting from 24/7 uptime, consistent compliance, and cost-effective outbound campaigns.

a Sparkpage is a web page created automatically by the Genspark AI system in real time. Rather than a list of links, Genspark generates a full, bespoke page on the fly based on your request. Every Sparkpage serves as an info nexus, gathering associated content from all over the web into a unified presentation. What this means in practice is that a designer or marketer may ask for a topic, say, "landing page for a fitness app," and then get a page ready with text, images, and layout elements automatically assembled. What Sparkpages distill into one resource are all those web pieces of knowledge so users never again have to dig around gathering stuff from multiple sources. Crucially, every Sparkpage features an integrated AI Copilot – a chatbot assistant embedded right on the page. This copilot allows you to pose follow-up questions or ask for edits on the page itself, so the experience is not static but dynamic. Essentially, Sparkpages provide you with an on-the-fly method for creating high-quality web content and layouts without all the standard coding.

In the evolving landscape of artificial intelligence, few platforms have made as lasting an impression as IBM Watson. Introduced in 2011 after famously winning Jeopardy!, Watson has since become a powerful suite of AI services , tailored for enterprise use, deployed on IBM Cloud, and trusted in sectors like healthcare, finance, and customer service. Let’s take a closer look at what IBM Watson offers today, its cloud-native capabilities, and why it continues to be a trusted AI solution for mission-critical applications.

As the big language models (LLMs) took off, businesses and developers called for AI solutions that are not just strong but also secure, explainable, and business-friendly. Enter Claude, the conversational AI by Anthropic, a San Francisco–headquartered AI research company that's committed to developing aligned and reliable AI solutions. In this article, we’ll explore what Claude is, how it works in the cloud, its core features, and why it’s being adopted across industries seeking ethical and scalable AI tools.

With artificial intelligence stepping into the limelight in the current era of innovation, developers and enterprises need platforms that are robust, scalable, and easy to use. Amazon SageMaker is one such solution, a product under the AWS family of technologies — giving you all that you need to create, train, and deploy machine learning models entirely in the cloud. Let's take a look at how SageMaker works, why it's so different, and why it's one of the most dependable enterprise AI development tools on the market today.

As artificial intelligence powers digital transformation, cloud AI platforms are being utilized more and more as the basis for developing scalable, secure, and fast development. One of the most accessible and powerful platforms available in this arena is Vertex AI from Google Cloud. Vertex AI is a fully managed, serverless, cloud-native machine learning platform for developing, training, deploying, and managing ML models—without the need to manage infrastructure manually. In this post, we'll discuss what makes Vertex AI unique, why its cloud-based infrastructure is groundbreaking, and how it benefits both beginners and AI teams at the enterprise level.