

PRAGATHI PROCESS INFORMATICS R&D Information
Contact top employees
Summary
The company currently specializes in the Professional Training & Coaching area. The annual revenue of PRAGATHI PROCESS INFORMATICS R&D varies between 1 and 10M. To connect with PRAGATHI PROCESS INFORMATICS R&D employee register on SignalHire.
| Website | virtualprocessplant.com |
| Phone Number | +61 455 880 422 |
| Industries | |
| Headquarters address | Ooralea, Queensland, Queensland AU |
| Company Size | 10-50 employees |
| Specialties | Process Engineering, Computer Graphics, Data Analytics, Operator Training Simulators, P&ID |
| Founded | 1999 |
| Estimated Annual Revenue | $1 - 10M |
Workforce Turnover
Corporate Tenure Analytics
Workforce Experience Insights
100% have been with the company for 1 to 2 yearsContact top employees
Hasantha SilvaProjects coordinator
Buddhika MallawaHead of Global Business Operations and Information Systems
Michael WoolseyDirector
Thilina SurendraBusiness Development Manager
Ravidu ThrishankaSoftware Engineer
Liyanage Ruwan KithsiriEngineering Draftsmen
Similar Companies
FAQ
PRAGATHI PROCESS INFORMATICS R&D operates in the Tutoring industries. More details can be found on the official website: virtualprocessplant.com.
PRAGATHI PROCESS INFORMATICS R&D has offices located in Ooralea, AU.
The headquarters of PRAGATHI PROCESS INFORMATICS R&D are located in Ooralea, Australia.
You can contact PRAGATHI PROCESS INFORMATICS R&D by phone at +61 455 880 422.
PRAGATHI PROCESS INFORMATICS R&D currently employs 10-50 people.
PRAGATHI PROCESS INFORMATICS R&D's revenue is approximately 3.1M.
Data Privacy
GDPR COMPLIANT
SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
CCPA COMPLIANT
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.




