Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe.
Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint.
Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside compute.
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Customer experience shouldn't run on disconnected tools and static scripts. Dialpad Contact Center brings voice, digital channels, and human agents together in a single AI-native platform, built to act — not just record — on every customer interaction.
This is Agentic AI in practice: agents that reason through a problem, take the next step, and drive it to resolution without waiting on a human to intervene. Where legacy systems leave data trapped in silos, Dialpad Contact Center closes that gap, linking voice and data so context travels with the customer instead of getting lost between systems.
The payoff compounds. Dialpad has already generated over 775 million AI recaps, and each new interaction adds to a growing base of operational intelligence — sharper resolution paths, more productive agents, better outcomes quarter over quarter. None of it runs unchecked: Dialpad's Guardian layer keeps AI operations secure and governed, so intelligence scales without sacrificing oversight.
In practice, that means up to 80% of issues get resolved autonomously, freeing your team to focus on the conversations that genuinely need a human. Intelligence works at the edge; people stay at the center of the experience.
And you don't have to take the ROI on faith. Through Dialpad's Proving Ground, enterprises can validate performance and cost savings before rolling out at scale — a far more reliable path than betting on a brittle, rules-based bot.
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Dialfire
Dialfire is a powerful, cloud-native platform for inbound and outbound phone campaigns of any size. With Dialfire, users benefit from up to three times more conversations thanks to a state-of-the-art predictive dialer which blends incoming calls, even across different projects, and includes a precise answering machine detection technology.
Dialfire emphasizes transparency and gives you full control over your campaigns. Automated workflows ensure efficiency, while real-time, personalisable statistics and reports provide valuable insights into campaign performance and employee productivity. Users can choose proven and pre-built templates and get started within minutes or customize campaigns, reports and statistics to meet their concrete needs or client specifications. Dialfire integrates natively with several CRMs and offers API interfaces to connect seamlessly with any type of external system. Global, redundant servers build a solid infrastructure and a wide range of carriers guarantee excellent voice quality.
Make calls directly from your browser, without software installation. Dialfire supports in English, French, German, Spanish and Portuguese - by phone, email chat or online.
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CloudTalk
Are you looking for a smart phone system? CloudTalk.io is a new-generation cloud phone system that can be used by SMEs, startups and online stores. It also works with call centres (sales or customer service) and call centres (sales).
You will find 25+ integrations with your favorite CRM, helpdesk, or e-commerce tools like Shopify, Salesforce or Pipedrive at your disposal along with a 5-star customer success team that makes it easy to seamlessly migrate, or set up a new cloud call center from scratch.
We are growing rapidly every month and have already established successful partnerships with more than 1000 companies around the world, such as DHL, Yves Rocher, Karcher.
CloudTalk offers a 14-day free trial (no credit card details necessary).
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