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, managers accountable for pipeline, and deals won through consultation rather than transaction. Formerly Pipeliner CRM, building sales software since 2011.
Results that speak for themselves: 4 weeks to implement. 0 full-time admins required. 2 hours to onboard a user. Dramatically reduced total cost of ownership.
Sales leaders get a forecast they can defend. Sales ops configure it themselves. Reps get a pipeline where the next step is obvious.
• Voyager AI: predictive deal and pipeline guidance, plus native MCP
• Visual pipelines with buying centers and relationship maps
• Guided selling: your stages and criteria, enforced in the flow of work
• Automatizer: no-code workflow automation your team builds
• Built-in reporting and forecasting, with BI export
Three editions: $85, $115 and $150 per user/month. Industry-agnostic.
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RaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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DataPreparator
DataPreparator is a free software tool designed to streamline various elements of data preparation, often referred to as data preprocessing, in the context of data analysis and mining. It offers a wide array of features to assist users in preparing and examining their data prior to performing analysis or mining tasks. Among its capabilities are data cleaning, discretization, numerical modifications, scaling, attribute selection, and managing missing values, as well as addressing outliers, performing statistical analyses, visualizations, balancing, sampling, and selecting specific rows for further scrutiny. The application supports data import from multiple sources, including text files, relational databases, and Excel spreadsheets. It efficiently handles large datasets without retaining them in memory, with exceptions being made for Excel files and results from databases that do not support data streaming. Operating as a standalone solution, it features an intuitive graphical interface that enhances user experience. Furthermore, the software allows for the chaining of operations to create sequences of preprocessing transformations and facilitates the development of a model tree for test or execution data, thereby optimizing the data preparation workflow. Overall, DataPreparator stands out as a flexible and effective tool for professionals involved in analyzing and processing data, making it invaluable in their tasks.
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Vortini
Forecasting sales is an essential yet often challenging endeavor, particularly during periods of organizational transformation. It is vital to integrate current pipeline data, historical trends, and behavioral patterns to pinpoint inaccurate predictions and suggest alternative approaches. Explore your CRM to reveal typically neglected deal details, enabling you to construct a thorough history of forecasts, regardless of whether records have been kept meticulously. Automatically refine your forecasts by utilizing a recommended combination of deals based on both present and historical data. As the sales team looks ahead to their next period, the finance department prepares for the upcoming fiscal quarter and year, which negates the necessity for separate forecasting systems. Sales encompass more than just figures; effective analytics are essential to understanding and leveraging potential opportunities, identifying areas needing improvement, and boosting sales efficiency. In a competitive environment, grasping your clients' needs and analyzing their future behaviors while providing them with suitable offers is crucial. By continuously adapting and adopting a finely-tuned strategy, businesses can achieve enduring success in an ever-changing market landscape. Moreover, fostering collaboration between departments can further enhance the accuracy of forecasts and overall business performance.
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