Poka

Poka is an Industrial AI-augmented connected worker platform designed for enterprise manufacturing organizations. It provides a comprehensive suite of tools to empower frontline workers with the knowledge, skills, and real-time support they need to perform tasks safely and to standard.

The platform combines learning and development, daily management, communication, and industrial AI capabilities into a single integrated solution. Workers can access digital work instructions, troubleshooting guides, and training materials directly from the factory floor through mobile devices.

Key capabilities include knowledge management for centralized work instructions, skills management with matrix tracking, digital forms and checklists for paperless operations, issue management with visual Kanban boards, and a Factory Feed for shift-to-shift communication. The Industrial AI features help convert existing documents and videos into standardized digital work instructions.

Poka integrates with major manufacturing systems including MES, CMMS, LMS, QMS, ERP, and BI platforms through REST APIs, iPaaS, data lake, and SCIM provisioning. The platform supports 37 languages and is available on iOS, Android, and web browsers.

Use cases

• Accelerate new hire onboarding with structured training programs and digital work instructions
• Create paperless factories by digitizing forms, checklists, and standard operating procedures
• Improve asset performance by enabling faster troubleshooting and maintenance procedures
• Foster safety culture through near-miss reporting and compliance tracking
• Drive continuous improvement by sharing best practices across shifts and sites

Limitations

• Commercial SaaS pricing model may be prohibitive for small manufacturers with limited budgets
• Requires reliable network connectivity for cloud-based features; offline capabilities may be limited
• Integration with legacy manufacturing systems may require custom development work
• Change management and user adoption can be challenging in traditional manufacturing environments
• AI content conversion accuracy depends on quality of source materials and may require manual review