
Coevera is an AI-native CRM and sales process platform for B2B sales organizations of 15 to 2,500 quota-carrying sellers — companies with a defined sales process, sales managers accountable for pipeline, and deals complex enough that consultation rather than transaction wins them. Formerly Pipeliner CRM, built since 2011 on one idea: a sales process should be visible, teachable and repeatable. Intelligence is the default state of the system, not a premium add-on. The platform is industry-agnostic; our strongest results have come from manufacturing, financial services, insurance, software, professional services, energy and mining.
Sales leaders buy Coevera for a forecast they can defend. Sales operations teams buy it because it can be configured, changed and reported on without a dedicated administrator, outside consultants or a multi-year build. Reps use it because the pipeline is visual and the next step is obvious.
Voyager AI — predictive deal and pipeline guidance in context, with native MCP so Coevera data is available to the AI tools your team already uses.
Visual pipeline management — drag-and-drop pipelines, buying centers and relationship maps, so who is involved in a deal and what stage it is actually in are both visible.
Guided selling — your stages, required activities and qualification criteria enforced in the flow of work rather than in a document.
Automatizer — no-code workflow automation your own ops team builds and changes.
Reporting and forecasting built in — no BI license required, with BI Feeder exporting to Tableau, Power BI and others when your analysts want the raw data.
Three editions at three price points — $85, $115 and $150 per user per month.
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Iru AI reimagines enterprise security and IT management with a unified, AI-driven platform that eliminates tool fragmentation and operational overhead. At its core is the Iru Context Model, a dynamic intelligence layer that connects identity, endpoint, and compliance management into one cohesive ecosystem. The platform offers passwordless authentication, device-bound access policies, and real-time vulnerability detection—creating a trust fabric that safeguards every user and device. Iru’s endpoint suite integrates management, detection, and response capabilities across Apple, Windows, and Android environments for holistic protection. Its Compliance Automation engine continuously maps and updates controls, ensuring organizations remain audit-ready while accelerating deal cycles. By merging automation with contextual intelligence, Iru empowers IT and security teams to make faster, smarter decisions. Companies gain a consolidated view of their infrastructure, reducing zero-day exploit risks and boosting productivity across teams. With a 4.75/5 G2 rating and adoption by thousands of high-growth enterprises, Iru delivers a future-ready foundation for secure, intelligent business operations.
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Pillir EdgeReady Cloud
EdgeReady Cloud is a cloud-native platform for rapid application development. It enables the creation resilient, always-available, self managing (EdgeReady), applications that can be used with or without connectivity.
Pillir's EdgeReady Cloud is a low-code RAD solution. It was created to allow companies to be more focused on innovation and less on maintaining the lights. This naturally drives down TCO and increases ROI by using low-code rapid application development for complex business system.
EdgeReady Cloud allows companies of any size, in any industry to increase speed to market and support innovation through custom-built, low-code applications.
EdgeReady Cloud offers pre-built integrations to integrate with SAP, Oracle, Microsoft Dynamics and other ERP and data base systems. EdgeReady Cloud is used by most customers for modernization and digital transformation of complex business system.
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voyage-4-large
The Voyage 4 model family from Voyage AI represents an advanced era of text embedding models, crafted to yield superior semantic vectors through an innovative shared embedding space that allows various models in the lineup to create compatible embeddings, thereby enabling developers to seamlessly combine models for both document and query embedding, ultimately enhancing accuracy while managing latency and cost considerations. This family features voyage-4-large, the flagship model that employs a mixture-of-experts architecture, achieving cutting-edge retrieval accuracy with approximately 40% reduced serving costs compared to similar dense models; voyage-4, which strikes a balance between quality and efficiency; voyage-4-lite, which delivers high-quality embeddings with fewer parameters and reduced compute expenses; and the open-weight voyage-4-nano, which is particularly suited for local development and prototyping, available under an Apache 2.0 license. The interoperability of these four models, all functioning within the same shared embedding space, facilitates the use of interchangeable embeddings, paving the way for innovative asymmetric retrieval strategies that can significantly enhance performance across various applications. By leveraging this cohesive design, developers gain access to a versatile toolkit that can be tailored to meet diverse project needs, making the Voyage 4 family a compelling choice in the evolving landscape of AI-driven solutions.
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