RFI-001/26
See details below or the tender documentation
Tender Closed on: 2026-10-07 11:00
Computer Software Supply and License Management, Data Analysis, Modelling and Simulation, ICT Hardware, Software And Network Support Services, Information and Communications Technology, Software Programming and Application Development
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| Tender Number: | RFI-001/26 |
| Department: | South African Weather Service |
| Tender Type: | Request for Information |
| Province: | Gauteng |
| Closing Date: | Wednesday, 07 October 2026 - 11:00 |
| Place where goods, works or services are required: | ABSA building, 1st Floor, Reception Desk, 1263 Heuwel Road - Centurion, - Pretoria - 0157 |
| Special Conditions: | N/A |
| ENQUIRIES: | |
| Contact Person: | Ms.Carol Lekalakala |
| Email: | [email protected] |
| Telephone number: | 012-367-6252 |
| FAX Number: | N/A |
| BRIEFING SESSION: | |
| Is there a briefing session?: NO | Is it compulsory? NO |
| Briefing Date and Time: | |
| Briefing Venue: | |
| eSUBMISSION: | |
| eSubmission Enabled: | Submit Tender by eSubmission |
This tender is also available from www.etenders.gov.za
The primary objective is to conduct market analysis to identify and evaluate suitable Forecast Product Generator (FPG) solutions. The South African Weather Service (SAWS) seeks comprehensive information on available technologies, implementation methodologies, licensing models, support structures, and integration capabilities. Collected data will refine business and technical requirements, inform procurement planning, and secure indicative cost estimates for software licensing, hosting, operations, and five-year lifecycle maintenance. The ultimate goal is to enhance the production, management, visualization, and dissemination of weather and climate forecasts for both public safety and commercial applications.
The scope encompasses the supply, implementation, and ongoing support of an integrated FPG platform. The system must enable meteorologists to create, edit, manage, and publish weather products efficiently within a unified, user-friendly environment. It must support automated workflows, integrate with existing meteorological infrastructure (including MeteoFactory and Synergie-Web), and facilitate multi-channel dissemination to government departments, disaster management agencies, aviation, marine, agricultural sectors, and commercial enterprises. The solution must ensure accuracy, consistency, timeliness, and accessibility across all outputs while supporting organizational modernization and operational forecasting improvements.
Vendors must submit detailed solution architecture and integration specifications. The platform must be fully compatible with international meteorological and data exchange standards, including:
Core functional requirements include graphical and text-based forecast editing, automated product generation, configurable approval workflows, interactive mapping/GIS capabilities, severe weather alert generation, multi-channel dissemination (web, email, SMS, API, mobile), configurable templates, multi-language support (South African official languages), full audit logging, and operational performance dashboards. Mandatory features are editing, generation, alerting, multi-channel dissemination, and audit logging. AI-assisted forecasting is optional, while mobile forecasting is desirable.
Artificial intelligence capabilities must cover draft forecasting, consistency validation against numerical model outputs, automated product generation, impact forecasting (linking meteorological hazards to real-world consequences), and explainable AI (providing transparent, auditable reasoning for algorithmic recommendations). Human override must remain absolute, ensuring forecasters retain final editorial authority.
Hosting must support on-premises, private cloud, public cloud, or hybrid deployments. Cybersecurity measures must enforce SAML 2.0 for identity federation, Multi-Factor Authentication (MFA), and ISO 27001 compliance. The system must guarantee high availability and enable secure remote/mobile access for field and off-site forecasters.
Although not explicitly itemized, the tender implicitly requires vendors to demonstrate advanced expertise in meteorological data engineering, AI/ML integration for predictive modeling, and enterprise software architecture. Respondents must prove capability in ingesting and processing complex NWP datasets, implementing automated forecasting pipelines, and delivering seamless integrations with legacy and modern meteorological systems. Proven experience in GIS mapping, multi-channel digital dissemination, and cybersecurity compliance is essential. Vendors must also showcase strong project management skills, capacity to deliver comprehensive end-user training, and ability to sustain long-term technical support. Experience in public sector, scientific, or mission-critical operational environments is highly valued, alongside a demonstrated commitment to balancing automated efficiency with expert human oversight.
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