Edplay.ai
Edplay is an AI-powered manufacturing knowledge retention platform that captures expert know-how, maps workforce competency against operational needs, and turns approved evidence into targeted training. The platform connects existing HR, document control, and operational systems, and uses hands-free recording glasses to capture real-work video from expert operators before converting it into traceable SOPs and training content.
- Education Technology
- Manufacturing / Industry 4.0
- Artificial Intelligence
- AI Agents
- HR Technology
- Software Only
- Enterprise Software
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Manufacturers hold fragmented workforce records, competency evidence, procedures, and operational data, but each source describes only part of the work. This disconnect leaves teams without a clear view of what their people can actually do, what knowledge exists, and what is missing — leading to skill gaps that cause downtime, safety incidents, and quality defects.
Solution
Edplay is an AI-powered intelligence platform for manufacturing that connects existing workforce, competency, and operational systems into one capability picture. The platform maps approved knowledge and competency records to a skill model, distinguishes between skill gaps (people below standard) and knowledge gaps (insufficient approved material to teach a skill), and prioritizes training needs using production, quality, maintenance, and safety signals. When a priority skill lacks approved material, Edplay enables leaders to request evidence from named experts wearing safety-compatible recording glasses to capture real-work video with spoken explanation. AI content agents then turn approved source material into structured training, while validator agents check content against source documents and accuracy agents verify sequencing and coverage against the approved learning plan. Edplay closes the loop by writing verified competency back to connected people systems.
Target Audience
Primary customers are manufacturing companies — including plant leaders, L&D teams, and operations managers — who need to close workforce competency gaps and improve production, quality, maintenance, and safety outcomes.
Features
- Layered AI agent system: content agents structure source material, validator agents link content back to its source, and accuracy agents verify sequencing and coverage against approved learning plans
- Capability intelligence loop with six stages: Connect, Match, Detect, Capture, Create, Prove
- connecting workforce, competency, document control, and operations systems
- First-person evidence capture via safety-compatible recording glasses (RealWear) with built-in audio, for documenting real tasks performed by expert operators
- Skill model that reconciles equivalent skill names into canonical skills while flagging uncertain matches for human review
- Detection of skill gaps versus knowledge gaps, prioritized using affected people, criticality, and production/quality/maintenance/safety signals
- Verified equipment and tool tags on captured footage for selecting training content by machine and task
- Six instructional design approaches: Teach a Topic, Train a Process, Practice Decisions, Support Performance, Refresh Knowledge, and Test Competence
- Assessment results, scenario decisions, practical checks, and supervisor sign-off update each person's skill picture with documented before-and-after capability views
- Written-back competency to HR and workforce records, with operational measures compared against pre-training baseline
- Integrations with SAP, Workday, ADP, Paylocity, ServiceNow, Oracle, MES, QMS, EHS, and CMMS systems