From conversation to competency record
Domain-specific SI agent ensembles listen to real-world interactions and produce standards-compliant learning data, with no manual tagging and no forms.
Listen
SI speech recognition captures live audio from classrooms, radio communications, meetings, webinars or field operations, with speaker identification.
Distill
Domain-tuned SI agents parse transcripts to identify learning interactions, participants, roles, confidence levels and instructional context.
Map & Scaffold
Detected interactions are matched against existing xAPI Profiles and Shareable Competency Definitions. Where gaps exist, the platform extends or creates competency structures.
Record
Validated xAPI statements are generated and sent to your Learning Record Store as a standards-based record of real-world learning.
Built on IEEE and open standards
- xAPI (IEEE 9274.1.1)
- Shareable Competency Definitions (IEEE 1484.20.3)
- cmi5 (IEEE 9274.1.2)
- Total Learning Architecture
Domain plugins
Each listener plugin is a coordinated team of SI agents tuned to detect the interactions that matter most in its domain.
- Emergency Medical Services: patient assessment skills, protocol adherence, team communication, clinical decision-making and scenario debriefs from radio communications and field operations.
- K-12 Classroom Listener: student questions, teacher explanations, collaborative learning moments, formative assessments and curriculum-aligned activities.
- Corporate Conference: knowledge sharing, decision-making, action items, strategic discussions and professional development moments.
- Webinar & Virtual Meeting: Q&A, instructor-led training segments, breakout discussions and remote collaboration.
- Build your own: domain-specific agent configurations for fields such as manufacturing, fire service, military training, healthcare, hazmat response and law enforcement.
Works with TLA Toolbox
xAPI IRL works with TLA Toolbox, the companion xAPI Profile Server and Shareable Competency Definition registry where profiles, competency definitions and Learning Metadata terms are created, edited, inspected and shared across organizations.
Multi-tenant and standards-based
- Domain agent ensembles: speaker identification, interaction detection, competency matching and statement generation, tuned for each professional domain.
- Tenant isolation: each organization keeps its own recordings, rosters, competency frameworks and LRS configuration.
- Adaptive scaffolding: when existing profiles or competency definitions don’t cover what is observed, xAPI IRL extends them or creates new ones.
Seeking collaborators
The core pipeline works today: SI agents listen, distill, map and generate real xAPI statements from live human interactions. The next stages (domain precision, edge-case handling, confidence calibration and production-grade reliability) call for partners who understand real-world training environments and learning technology standards. Contact inXsol to collaborate.