What We Do

Problem

Government skill missions and universities need to assess whether candidates are interview-ready. Manual interviews don't scale — each candidate needs hours of assessor time. Assessment quality varies by interviewer. Institutions can't easily spot patterns in why candidates fail or succeed.

System

CRT-AI: AI-assisted interview assessment that evaluates candidates against structured competency rubrics. System delivers 50-90 minute digital interviews, AI-grades responses in real-time, generates detailed skill gap reports, and feeds insights into training recommendations. Institutions see aggregate skill trends across cohorts.

Outcome

• Single institution can assess 500+ candidates monthly (instead of 50-100 with manual interviews)
• Consistent evaluation criteria across all assessments
• Auditable evaluation trail for government compliance
• Data-driven insights: Which training interventions work? Which candidates need which skills?
• Candidates get specific feedback ("Your communication scored 6/10. Here's targeted prep."), not just pass/fail

Problem

State skill missions and universities need training delivery systems that work across locations, devices, and connectivity conditions. Off-the-shelf LMS platforms don't integrate with government skill registries. Completion data gets stuck in silos. Rural learners often have poor connectivity.

System

Purpose-built training infrastructure that integrates with government systems (RKCL platforms, state skill registries, placement dashboards). Offline-first architecture means content downloads once, learners can work offline, sync when connectivity returns. Custom integrations ensure data flows directly into government certification workflows.

Outcome

• Training delivery reaches 10,000+ learners reliably, even in low-connectivity areas
• State governments get real-time completion data for program compliance reporting
• Learners can access training offline — removes connectivity as a barrier
• Integration with skill registries means certificates publish automatically, not via manual data entry

Problem

Government program intent ("We need to assess and train 50,000 candidates across 5 states") is complex. It requires integrating hiring, training, assessment, and certification across different systems. Policy doesn't automatically translate to working infrastructure. Most implementations produce reports and recommendations, not functioning systems.

System

End-to-end implementation: from requirement mapping through deployment and staff training. This includes system architecture, compliance integration, data flow design, user training, and ongoing operation. Not a consulting engagement — we deploy working systems.

Outcome

• Candidates move through assessment → training → certification → placement on a single integrated system
• Government stakeholders get compliance-ready audit trails (procurement requirements, RTI readiness)
• Staff at institutions can operate systems on day one (training included)
• Systems scale — a pilot for 500 candidates can scale to 50,000 without architecture changes

Problem

Government exams, institutional certifications, and hiring decisions need digital delivery and consistent grading. Security and fraud prevention matter. Results need to integrate with government transparency requirements and placement systems.

System

Secure assessment infrastructure: exam delivery with proctoring, automated grading with consistency checking, result publication integrated with government systems, full audit trails.

Outcome

• Government can run secure exams at state scale (10,000+ simultaneous test-takers)
• Institutions get instant result publication (not waiting 2-4 weeks for manual grading)
• Grading consistency monitoring catches erratic evaluators before they skew results
• Audit trail satisfies procurement compliance and RTI requests