About Krlye AI
With a seamless, intuitive interface and AI-driven matchmaking technology, Krlye allows organizations to quickly access top-tier talent on-demand. Whether you're a global enterprise, a local business, or a staffing agency, Krlye's platform ensures that you get the right person for the right role, wherever you need them.
Krlye offers a smarter, faster, and more efficient way to directly hire talent, optimizing costs, and minimizing time-to-hire without compromising quality or expertise. Using the latest AI technology we analyze each job seeker's profile for the best quality match for every job listing.
Krlye empowers companies to build adaptable, high-performance teams at scale. Our platform is the future of work, designed to make staffing as easy and seamless as ordering a ride.
Our Solution
Krlye AI delivers a comprehensive AI-powered platform with dual interfaces:
For Job Seekers
- AI-enhanced profile creation and resume analysis
- Personalized career guidance and skill development recommendations
- Automated job matching based on skills, experience, and cultural fit
- Real-time availability status and opportunity tracking
For Recruiters and Businesses
- Comprehensive candidate database with predictive success metrics
- Automated end-to-end recruitment workflow
- Contract-to-hire staffing solution with reduced administrative burden
- Market intelligence and demand forecasting
Business Model
SaaS Subscription
Flexible plans for recruiters and enterprises based on user seats and volume
Competitive Fee Structure
Felexible and affordbale pricing model in comparison to industry standards
Premium Features
Enhanced tools and capabilities for both job seekers and businesses
Enterprise Licensing
Custom solutions for large-scale deployments with dedicated support
Our Team
AI Engineer and Automation Expert
As a two-time founder, ex-Microsoft program manager, software developer, and government contractor, Shannon brings over 10 years of experience to Krlye AI.
Shannon has actively engaged with the tech community, winning over $25,000 in hackathons competing against industry professionals from Deloitte, Consensus, Coinbase, and EY. She has delivered impactful talks at events like CascadiaJS and Google DevFest, including presentations on AI for Social Good and WebVR/WebXR at Amazon HQ's Global Meeting Center.
Additionally, she has led workshops with nonprofits such as Women Who Code, Black Girls Code, and Baltimore-based Code in the Schools.
Over the past year, Shannon has deepened her expertise in AI, earning industry-recognized certifications from AWS Educate and Microsoft in AI engineering and machine learning foundations. She has collaborated with PhD graduates from Johns Hopkins University and the University of Toronto to develop applications using cloud-based machine learning models for diverse problem areas.