Provisioning of Network Services and Communications Infrastructure for GreenAI Ecosystem Concept Demonstration

This tender invites bids from registered firms for provisioning network services and communications infrastructure in Rawalpindi under the Ministry of Defence. The project focuses on the GreenAI Ecosystem, a precision agriculture system integrating AI, IoT sensors, and aerospace technologies to modernize farming practices in Punjab. The scope includes establishing robust, dual-redundant, high-speed communication links connecting multiple remote agricultural sites with a central hub at NASTP Alpha, Rawalpindi. The infrastructure will support live interactive sessions, real-time audio-video feeds, and sensor data aggregation. The work involves installing satellite uplinks, LiveU bonded IP backup systems, professional ENG camera setups, and video decoding equipment. The bidder will handle system integration, configuration, testing, and ongoing technical support to ensure seamless connectivity and data visualization on a managed video wall. Sites include Arid Agriculture University Rawalpindi, Smart Farms Attock, NARC Islamabad, and Muridkey Sheikhupura. Bidders should ensure compliance with PEC categories relevant to IT and communications services and maintain valid FBR/ATL status for the 2025-26 financial year. The bid security is PKR 200,000, and performance guarantees will be required post-award. The tender follows the Public Procurement Rules 2004 with a single stage two envelope procedure. Submission deadline is on the 16th of March 2026 at 11:00 AM, with bid opening at 11:30 AM at Project Management Unit, Project GreenAI, NASTP Alpha 19, Old Airport Road, Rawalpindi. Bids must be uploaded on the EPADS portal and submitted as sealed hard copies. Pro-Tip: Ensure all technical and financial proposals strictly follow the RFP instructions, including bid security and authorization letters. Missing or conditional bids are liable to be rejected. Also, attend the pre-bid meeting on 9th March 2026 to clarify any ambiguities and avoid costly errors during submission.