Education-ready environmental intelligence for guided sensing and evidence-led learning.
PML Platform supports classroom investigations, sensor projects and guided capture workflows for education and training environments. It helps learners move from device preparation to structured sensing activity, evidence collection and interpretation. Questionnaire evidence, AI-assisted learning support and governance controls provide a clearer pilot-ready workflow for colleges, universities, STEM programmes and specialist training providers.
Structured learning workflows, guided environmental investigations, classroom sensing projects, questionnaire evidence collection, AI-assisted analysis and governance controls configured for educational deployment environments.
Education-ready capabilities across guided sensing, learning workflows, evidence and governance.
The shared platform layer supports pilot education deployments through classroom investigations, guided capture and controlled AI-assisted learning.
Guided investigations
Support structured classroom investigations, learning workflows and evidence-led environmental sensing activities.
Sensor learning projects
Connect learners with device preparation, guided capture, specimen context and classroom sensing outcomes.
Questionnaire evidence
Capture learning evidence, participant responses and structured feedback through governed questionnaire workflows.
Controlled AI support
Use entitlement-aware AI assistance to support interpretation, reflection and classroom insight generation.
Operational activity and deployment readiness signals.
Research-validated gas signature models.
Palmer-Hunter research outputs include gas-signature classification and CO₂ regression workflows, forming the foundation for future environmental intelligence services.
Designed for colleges, universities, STEM programmes and specialist training environments.
Education deployments use the same governed platform layer while focusing on learning evidence, sensor projects and classroom readiness.
Operational readiness across identity, data, devices, AI and governance.
Authentication, sessions, role-aware access and protected platform areas.
Questionnaire workflows, evidence capture, response storage and exports.
Device visibility, readiness checks, firmware lifecycle and sensor estate awareness.
Guided investigations, classroom workflows, sensor projects and learning evidence.
Entitlement-aware AI access, assisted analysis, usage governance and auditability.
Compliance areas, operational monitoring, recovery discipline and assurance signals.
Infrastructure, recovery and operational controls supporting pilot deployment.
Palmer-Hunter Labs operates a segmented platform architecture with controlled development workflows, authenticated access, monitored infrastructure, backup governance, recovery discipline and operational evidence signals for pilot-readiness review.
Control, compute and recovery services are separated for operational resilience.
Platform services are aligned with observability and uptime monitoring workflows.
Backup discipline and recovery procedures support pilot-readiness evidence.
Local-first development, Git governance and managed release workflows are enforced.
Operational controls supporting controlled pilot deployment.
Four deployment journeys built on one governed platform layer.
Active platform journey for guided learning, classroom sensing, questionnaires, devices and AI-assisted analysis.
Roadmap preview for field monitoring, telemetry intake, observations and operational alerts.
Future journey for land monitoring, sensor networks, environmental signals and decision support.
Future journey for laboratory context, questionnaire evidence, audit trails and controlled analysis.