
Runn is a real-time resource management platform with integrated time tracking and powerful forecasting capabilities.
Intuitively plan projects and schedule resources with allocations, project phases, milestones, and time off. Flick between monthly, quarterly and half-yearly views to plan for the short and long term. Get a dynamic bird’s-eye view of your entire organization to manage capacity, workload and availability changes as you create your plans.
Runn makes resource management dynamic and visual from a single, shared view. Drill into different roles, teams and tags to compare trends and understand which groups are overbooked. Plan out tentative projects to see how plans might change if work gets confirmed.
Track projects, view forecasts, and get relevant metrics within Runn. Get insights like utilization, project variance, and overall financial performance. Use Runn’s built-in timesheets to monitor project progress.
Runn integrates with Harvest, WorkflowMax, and Clockify. With the API, build your own integrations to connect Runn with your favorite tools.
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TimeControl is a timesheet system that can be used for both finance and project management. TimeControl was designed to serve multiple purposes at once. TimeControl tracks time task-bytask and project-byproject. Despite its project-based controls it is still a financial timesheet that meets all the requirements of payroll, human resource, billing, and finance. TimeControl is available for subscription in the cloud and for purchase for an installation on-premise. It includes both a browser interface as well as the TimeControl Mobile App for iOS or Android.
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MyLifeOrganized (MLO)
Effortlessly create new tasks and checklists with ease. A sleek To-Do list interface ensures you can concentrate on the critical items that need your attention right away. The user-friendly drag-and-drop feature allows for the seamless rearrangement of tasks in a straightforward list or even the organization into a hierarchical structure. While basic To-Do lists are effective, MLO takes it a step further by enabling you to break down tasks into as many subtasks as you need, creating an infinitely flexible hierarchy. You can easily establish dependencies between tasks, making it ideal for planning complex events like business trips or weddings. After assigning due dates, contexts, and dependencies, MLO will automatically curate a smart list of actionable items that require your prompt focus. Utilize an outline for strategic planning while employing a simple list for practical execution. The dual view offered by MLO supports various task management methodologies, including GTD®, allowing you to choose the approach that best fits your style and needs. This adaptability makes it an excellent tool for individuals looking to enhance their productivity.
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AirMDR
AI-driven virtual analysts can automate a staggering 80-90% of repetitive tasks, resulting in quicker, superior, and more cost-effective alert triage, investigation, and response, all while being supported by human specialists. Avoid the pitfalls of expensive, sluggish, and inconsistent investigations and embrace the future of precise investigations delivered at remarkable speed. While traditional MDRs depend heavily on human analysts for case triage, AirMDR's advanced virtual analyst is capable of processing these cases 20 times faster, with enhanced consistency and depth. Consequently, human analysts at AirMDR are tasked with manually triaging significantly fewer cases—over 90% less—allowing them to focus on more complex challenges. Enjoy high-caliber investigation, triage, and response for every alert, with 90% being scrutinized in less than five minutes. Each alert is enriched, investigated, and triaged automatically by our virtual analyst, acting as the initial responder to incidents. This efficient process is consistently monitored and refined by our dedicated team of human security professionals, guaranteeing a smooth and effective security operation. With this innovative approach, organizations can enhance their overall security posture while minimizing response times and maximizing resource allocation.
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