Dozuki vs Poka

Dozuki is a connected worker platform for frontline teams, combining knowledge capture, learning management, execution support, and real-time collaboration. Its visual work instructions can include photos, videos, version history, approval workflows, audit trails, and scheduled releases. Structured learning and role-based training connect to frontline work, while the platform tracks skills and readiness. Workers can download procedures in the mobile app for offline access. Dozuki runs on Android, iOS, and the web, and offers APIs and real-time webhooks for system connections, data synchronization, and workflow automation. Integrations include LMS, MES, QMS, ERP, HRIS, SCIM, EAM, CMMS, and business intelligence systems. Listed controls include encryption, single sign-on, IP whitelisting, rate limiting, and SOC 2 Type II compliance. It supports stated GDPR, ISO, CFR 21 Part 11, and ITAR needs, plus hybrid air-gapped deployment. Pricing is on request; launch averages 120 days.

Poka is an industrial connected worker platform for standardizing work and sharing frontline knowledge across shifts. It provides digital work instructions, learning and development, forms and checklists, issue management, huddle boards, skills management, daily management, communications, and dashboards and analytics. Its Industrial AI offering is linked to AI Agents and AI Studio for connected factory work. The platform connects with ERP, MES, LMS and CMMS systems, while Poka Automate lists more than 1,000 pre-built app connections. An open RESTful API supports custom integrations, and its Data Lake streams operational data to Power BI, Tableau and Looker. Poka runs as SaaS on AWS, with TLS 1.2 encryption in transit and 256-bit AES at rest. It is available on iOS, Android and web, and states SOC 2 Type II compliance. Pricing is available on request.