Realistic Workplace Simulations that Show Applicant Skills in Action
Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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The AI workplace management platform
Plan smart spaces, connect teams, manage assets, and get insights with the leading AI-powered operating system for the built world.
By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
This is a tool for concern mining which uses a KDM model as input and the output is the same model with annotated concerns. It uses a Concern Library and a modified String Clustering K-means algorithm with Levenshtein metric to cluster the strings.
GMetrics provides calculation and reporting of size and complexity metrics for Groovy source code.
This project has moved to GitHub:
https://github.com/dx42/gmetrics
The GroovyStAr ("Groovy Static Analyzer") project describes a new extensible SCA tool for Java and Groovy. The extensibility is reached through a customizable set of Groovy-scripts, each representing a static source code query against the created AST.