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.

The Karini platform empowered our SMEs to move from idea to experimentation in hours and to production-grade agents in days, compared to months and years with our previous, traditional software development approach. We independently built and deployed over 50 agents within the platform and integrated them into our core platform via API, keeping development cycles cleanly separated.

Karini delivered no-code recipes for building knowledge bases, processing data, and creating agents. These recipes dramatically reduced the Agentic AI learning curve, allowing our SMEs to apply their domain expertise directly. The Karini architecture supported our FedRAMP/DoD IL5 authorizations, meeting compliance requirements for government customers. The Karini GenAI Foundation platform, spanning data integration, agent lifecycle management, and governance, was critical to scaling successfully in production. It is not just about building agents, but about scaling them for the enterprise.

The Karini team is responsive and continuously innovating. Scaling this responsiveness is critical to meet the rapid development of generative AI technologies. Karini’s Forward-Deployed Engineers provide instant feedback to Karini’s engineers, and the deployment of enhancements or novel developments continues to keep pace with the overall acceptance of our customers. I expect that demand will intensify quickly, and Karini’s capability to provide near-real-time enhancements is critical to our ability to meet that demand.

We previously attempted to build our Agentic AI platform using an outsourced professional services partner. After two years, we could only deploy a single use case, resulting in heavy custom code that quickly became technical debt. As new models and techniques emerged, the custom solution immediately became obsolete.

Karini’s pricing was attractive, with an all-in model that allowed us to deploy three environments aligned with our development instances. We subscribed to Karini’s Forward-Deployed Engineer program, which trained our business experts and provided advisory support as needed. The setup was straightforward, leveraging a Terraform module, and patching has been equally simple.

Karini’s pricing was attractive, with an all-in model that allowed us to deploy three environments aligned with our development instances. We subscribed to Karini’s Forward-Deployed Engineer program, which trained our business experts and provided advisory support as needed. The setup was straightforward, leveraging a Terraform module, and patching has been equally simple.

We evaluated several open-source platforms.

The Karini team understands how to operationalize sophisticated GenAI business solutions at enterprise scale. For organizations serious about adopting GenAI internally or in their product set, Karini’s platform allows for rapid experimentation that does not require staffing up with data scientists, machine learning specialists, or AI practitioners. Instead, using Karini’s Forward-Deployed Engineers paired with deep subject matter experts dramatically expedites experimentation to production deployments. The result is a powerful cycle of experimentation leading to rapid deployment and testing of prototype solutions with customers, and production deployment in days, not weeks, months, or years.

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.

The Karini GenAI platform has delivered value in two ways. First, it sped up our ability to support our customers, which was the strategic focus for our organization. This created customer value. Secondly, this was the initial stepping stone into our GenAI journey. It fueled support, excitement, and adoption of how AI can be used to help our associates create even more customer value.

Karini's platform allows us to quickly iterate on our solutions. Getting to 80% quickly was beneficial, but getting to over 95% was always the goal. We realized that having a platform that allowed us to modify and improve constantly was critical to our success.

Karini is still expanding its list of features. As we add new features, additional connections and technologies around AI must be incorporated to ensure we stay current and continue to improve our platform.

We have used the solution for one year.

We used many similar products, including traditional OCR and RPA tools. These tools never provided the accuracy and flexibility we required when new customers were added and new documents were uploaded.

GenAI solutions must prove their value quickly. Finding a partner like Karini who can lower the initial entry point into GenAI and extract value quickly creates real ROI.

We migrated from a non-Agentic workflow platform that utilized traditional AWS products and services. The platform served its purpose but created technological debt that prevented us from quickly scaling and iterating.

Karini GenAI allowed us to achieve our goals to solve a customer problem, deliver value, and provide a successful entry point into our GenAI journey. Without them, this would not have been possible.