
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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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 licence 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. Implementations run in weeks, not quarters. Served markets: United States, Canada, the Un
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LiDAR360
LiDAR360 is an all-encompassing software solution for processing and analyzing LiDAR point clouds, created by GreenValley International. This robust platform includes a variety of specialized modules designed to meet the needs of different sectors such as terrain analysis, forestry management, mining, and power line inspection. With the ability to process large volumes of data, it can manage over 300 GB of LiDAR information at once and features more than 10 sophisticated algorithms for point cloud processing. Among its primary capabilities are data preprocessing, filtering, classification of point clouds, generation of digital terrain and surface models, as well as 3D visualization. Additionally, LiDAR360 equips users with tools for segmenting individual trees, extracting forest parameters, and conducting regression analyses for biomass estimation, which significantly enhances the efficiency of forest resource assessments. In the mining sector, the software supports open-pit mine modeling, monitors volume changes, and provides detailed tunnel section analyses. Overall, LiDAR360 stands out as a versatile tool, capable of improving productivity and accuracy across various applications.
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DataPreparator
DataPreparator is a complimentary software application aimed at facilitating various aspects of data preparation, also known as data preprocessing, within the realms of data analysis and mining. This tool provides numerous functionalities to help you explore and ready your data before engaging in analysis or mining activities. It encompasses a range of features including data cleaning, discretization, numerical adjustments, scaling, attribute selection, handling missing values, addressing outliers, conducting statistical analyses, visualizations, balancing, sampling, and selecting specific rows, among other essential tasks. The software allows users to access data from various sources such as text files, relational databases, and Excel spreadsheets. It is capable of managing substantial data volumes effectively, as datasets are not retained in computer memory, except for Excel files and the result sets from certain databases that lack data streaming support. As a standalone tool, it operates independently of other applications, boasting a user-friendly graphical interface. Additionally, it enables operator chaining to form sequences of preprocessing transformations and allows for the creation of a model tree specifically for test or execution data, thereby enhancing the overall data preparation process. Ultimately, DataPreparator serves as a versatile and efficient resource for those engaged in data-related tasks.
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