Comprehensive Repair Maintenance of Building, Leakage Seepage, Wall Tiling, Floor Tiling, False Ceiling, Roof Treatment, Plinth Protection and Other Misc Repair Works at Palambagh, Nom Varuna, New Delhi
Bid Value
₹75.00 Lakh
Closing Date
27 August 2026
Days Remaining
26 days
AI Tender Synthesis
Pre-generatedThe opportunity offers good value and clear scope for construction repair, but crucial details like specific eligibility criteria, quantities, contract duration, and detailed technical specifications are missing, requiring further document review.
What's Being Procured
This tender is for comprehensive repair and maintenance of buildings, including leakage/seepage remediation, various tiling works, false ceiling, roof treatment, and plinth protection. It is being procured by the Military Engineer Services (MES) for locations in Palambagh, Nom Varuna, New Delhi, with an estimated value of ₹75,00,000.
Eligibility Criteria
None identified
Technical Scope
- 01Comprehensive Repair Maintenance of Building
- 02Leakage Seepage remediation
- 03Wall Tiling
- 04Floor Tiling
- 05False Ceiling installation
- 06Roof Treatment
- 07Plinth Protection
- 08Other Miscellaneous Repair Works
Documents Required
None identified
Watch Out For
- Absence of specific eligibility criteria in the provided information.
- Lack of detailed information on quantities, contract duration, and specific technical specifications in the provided information.
Bid Value
₹75.00 Lakh
Summary
This tender is for comprehensive repair and maintenance works including leakage/seepage remediation, wall tiling, floor tiling, false ceiling installation, roof treatment, and plinth protection. The scope also covers other miscellaneous repair works for buildings located at Palambagh, Nom Varuna, New Delhi. The procurement is being conducted by the Military Engineer Services (MES), specifically CWE New Delhi, a Central Government entity, with an estimated value of ₹75,00,000. No specific quantities, contract duration, or detailed technical specifications are provided in the raw data.