Co-CEO at a tech services company with 51-200 employees
Real User
Top 10
Sep 25, 2025
We created a talent intelligence platform called MAIA. MAIA fuses four advanced AI technologies: Reactive AI, Generative AI, Reasoning AI, and Agentic AI to transform how organizations discover, assess, manage, develop, deploy, and hire talent. MAIA leverages AI, machine learning, and predictive analytics to create a Skillscape™ or talent landscape that supports decision-making by leaders. A key element is MAIA’s taxonomy and ontology. MAIA’s foundational technology is a common language infrastructure that enables skills-based hiring and workforce mobility by providing a shared language for the workforce ecosystem. It decodes sector-specific jargon into universally understood competencies. MAIA unlocks hidden talent by revealing qualified candidates that traditional hiring processes overlook because their experience is described in unfamiliar terminology and is the key to faster, more successful career pivots across sectors. MAIA’s unified skills ontology is a comprehensive framework that understands the hierarchical relationships between skills, proficiency levels, and competency clusters and their relative importance, required proficiency levels, and contextual applications. It creates a universal skills currency that holistically demonstrates each person’s value. MAIA is fast and proactive. Labor market conditions shift rapidly, and MAIA’s insights reveal talent attrition and other talent leaks impacting the organization. MAIA can shorten recruitment cycles to one hour. A continuous flow of people into the organization’s marketplace obliterates hiring cycle time and creates an on-demand talent flow. MAIA eliminates friction and frustration and replaces them with insight and revelation. Key capabilities include intelligent document processing that extracts insights, skills, and other talent factors from any document type, including resumes, transcripts, certifications, coursework, forms, and military records. It also includes geolocation-based Skillscape™ or talent landscape that identifies skill concentrations and competitive landscapes, real-time candidate and employee assessments using MAIA’s taxonomy and ontology to measure skills, proficiency levels, competencies, and career paths against thousands of jobs, roles, work assignments, and correlated Knowledge, Skills, Abilities, and Tasks (KSATs). Additional capabilities include automated sourcing that continuously scans talent marketplaces for perfect-fit candidates and cross-sector analysis that recognizes transferable skills from any background. Built with federal-grade security (FedRAMP, DoD IL5), this platform delivers hypersonic efficiency in recruitment, hiring, and workforce deployment while maintaining full compliance and transparency. Karini AI enabled our subject matter experts to quickly build knowledge graphs and develop multiple agents that are seamlessly integrated with our HR platform via API.
CFO CIO at a manufacturing company with 5,001-10,000 employees
Real User
Top 10
Sep 2, 2025
To support our strategy, we needed to speed up our ability to process quotes and orders. Thus, focusing on an IDP (Intelligent Document Processing) solution was logical. Unfortunately, past solutions were never accurate or agile enough for large-scale use. Karini's GenAI solution allowed us to overcome the historical problems and provided us with the flexibility to iterate quickly and continue improving the solution when required.
Data Quality solutions ensure accurate, consistent, and reliable data. They monitor, cleanse, and enhance information, allowing organizations to make informed decisions, improve business processes, and increase operational efficiency.Data Quality solutions provide tools to identify discrepancies in datasets, facilitate their correction, and enhance trust in data-driven decisions. They employ advanced algorithms and machine learning models to profile and cleanse data, providing a detailed...
We created a talent intelligence platform called MAIA. MAIA fuses four advanced AI technologies: Reactive AI, Generative AI, Reasoning AI, and Agentic AI to transform how organizations discover, assess, manage, develop, deploy, and hire talent. MAIA leverages AI, machine learning, and predictive analytics to create a Skillscape™ or talent landscape that supports decision-making by leaders. A key element is MAIA’s taxonomy and ontology. MAIA’s foundational technology is a common language infrastructure that enables skills-based hiring and workforce mobility by providing a shared language for the workforce ecosystem. It decodes sector-specific jargon into universally understood competencies. MAIA unlocks hidden talent by revealing qualified candidates that traditional hiring processes overlook because their experience is described in unfamiliar terminology and is the key to faster, more successful career pivots across sectors. MAIA’s unified skills ontology is a comprehensive framework that understands the hierarchical relationships between skills, proficiency levels, and competency clusters and their relative importance, required proficiency levels, and contextual applications. It creates a universal skills currency that holistically demonstrates each person’s value. MAIA is fast and proactive. Labor market conditions shift rapidly, and MAIA’s insights reveal talent attrition and other talent leaks impacting the organization. MAIA can shorten recruitment cycles to one hour. A continuous flow of people into the organization’s marketplace obliterates hiring cycle time and creates an on-demand talent flow. MAIA eliminates friction and frustration and replaces them with insight and revelation. Key capabilities include intelligent document processing that extracts insights, skills, and other talent factors from any document type, including resumes, transcripts, certifications, coursework, forms, and military records. It also includes geolocation-based Skillscape™ or talent landscape that identifies skill concentrations and competitive landscapes, real-time candidate and employee assessments using MAIA’s taxonomy and ontology to measure skills, proficiency levels, competencies, and career paths against thousands of jobs, roles, work assignments, and correlated Knowledge, Skills, Abilities, and Tasks (KSATs). Additional capabilities include automated sourcing that continuously scans talent marketplaces for perfect-fit candidates and cross-sector analysis that recognizes transferable skills from any background. Built with federal-grade security (FedRAMP, DoD IL5), this platform delivers hypersonic efficiency in recruitment, hiring, and workforce deployment while maintaining full compliance and transparency. Karini AI enabled our subject matter experts to quickly build knowledge graphs and develop multiple agents that are seamlessly integrated with our HR platform via API.
To support our strategy, we needed to speed up our ability to process quotes and orders. Thus, focusing on an IDP (Intelligent Document Processing) solution was logical. Unfortunately, past solutions were never accurate or agile enough for large-scale use. Karini's GenAI solution allowed us to overcome the historical problems and provided us with the flexibility to iterate quickly and continue improving the solution when required.