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National Flood Insurance Program Risk Map Information Technology Customer and Data Service

Awarded
26-133Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The National Flood Insurance Program’s Risk Mapping, Assessment, and Planning (Risk MAP) IT Customer and Data Services contract is a sole-source, firm-fixed-price award issued under solicitation number 26-133 to ensure uninterrupted operation and maintenance of the Risk Analysis & Management Cloud (RAM-C) system hosted in the FEMA Federal Enterprise Cloud on Amazon Web Services. This system supports over 200,000 users and more than 1,100 authenticated FEMA personnel by delivering authoritative flood hazard data, managing the FMIX contact center, processing Letter of Map Change requests, maintaining the engineering library and LOMC clearinghouse, and ensuring cybersecurity and data integrity for federally mandated flood risk information critical to mortgage underwriting and public safety. The contract has a base period of six months, with two optional three-month periods, bringing the total potential value to $24,004,106.40, and is justified as non-competitive under GSAM 538.7104-3 due to urgent mission-critical needs, lack of viable alternatives, and the necessity of maintaining continuity through deep institutional knowledge held by the incumbent contractor, IBM. The work is performed remotely from Washington, D.C., with all systems operating in a cloud environment, and includes structured transition activities to enable future competition, including comprehensive knowledge transfer, parallel operations, and documentation of system architecture and processes. The government retains full authority for acceptance and inspection, with performance measured by uninterrupted system availability, data accuracy, cybersecurity compliance, and adherence to statutory NFIP obligations, all of which are deemed essential to protecting life, property, and economic stability across the nation. No competitive evaluation factors, weights, or adjectival ratings are defined, and the procurement does not include traditional CLINs or detailed pricing line items, instead aggregating costs by time period. Key personnel include Contracting Officer Marianne Slaby and Technical Representative Steven Kimmel, with no formal COR/COTR designated, and no socioeconomic set-asides, UEI, or CAGE codes provided for the offeror.

General Info

Maintain and enhance FEMA’s RAM-C flood risk system for 200,000 users via AWS, supporting national flood resilience.

NAICS

541519 - Other Computer Related Services

Place of Performance

Washington, DC, 20472, USA

Set-Aside

NONE

Documents

1

Sole Source Justification No. 26-133 for FEMA NFIP CDS Support Services

PDF, High priority: read this firstjustification-and-authorization
High

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Timeline

PhaseAwarded
Posted

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Awarded

Contract was awarded

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Organization & Contact Information

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AgencyDepartment Of Homeland Security → Support Services SECTION(SS40)
Contacts2 people available
OfficeWASHINGTON, DC, 20472, USA
Office AddressWASHINGTON, DC, 20472, USA

Full Description

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The National Flood Insurance Program (NFIP) operates the Risk Mapping, Assessment, and Planning (Risk MAP) program that seeks to address gaps in flood hazard data, increase public awareness that drives action to reduce flood risk, support state, local, tribal, and territorial (SLTT) stakeholders with risk-based mitigation planning, and provide authoritative flood hazard and flood risk data for the nation. The information system that supports the Risk MAP program and the NFIP is a compilation of a large complex multi-application system – the Risk Analysis & Management Cloud (RAM-C) System within the FEMA Federal Enterprise Cloud (FEC) Amazon Web Services (AWS) environment. Currently RAM-C is in post ADE-3 (Operations and Maintenance (O&M) phase) within the Acquisition Lifecycle Framework (ALF). RAM-C system serves over 200K total users and more than 1.1K authenticated FEMA users.

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